1
|
Yu W, Li Q, Ren J, Feng K, Gong J, Li Z, Zhang J, Liu X, Xu Z, Yang L. A sensor platform based on SERS detection/janus textile for sweat glucose and lactate analysis toward portable monitoring of wellness status. Biosens Bioelectron 2024; 263:116612. [PMID: 39096763 DOI: 10.1016/j.bios.2024.116612] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2024] [Revised: 07/22/2024] [Accepted: 07/26/2024] [Indexed: 08/05/2024]
Abstract
Herein we report a wearable sweat sensor of a Janus fabric based on surface enhanced Raman scattering (SERS) technology, mainly detecting the two important metabolites glucose and lactate. Janus fabric is composed of electrospinning PU on a piece of medical gauze (cotton), working as the unidirectional moisture transport component (R = 1305%) to collect and transfer sweat efficiently. SERS tags with different structures act as the probe to recognize and detect the glucose and lactate in high sensitivity. Core-shell structured gold nanorods with DTNB inside (AuNRs@DTNB@Au) are used to detect lactate, while gold nanorods with MPBA (AuNRs@MPBA) are used to detect glucose. Through the characteristic SERS information, two calibration functions were established for the concentration determination of glucose and lactate. The concentrations of glucose and lactate in sweat of a 23 years volunteer during three-stage interval running are tested to be 95.5, 53.2, 30.5 μM and 4.9, 13.9, 10.8 mM, indicating the glucose (energy) consumption during exercise and the rapid accumulation of lactate at the early stage accompanied by the subsequent relief. As expected, this sensing system is able to provide a novel strategy for effective acquisition and rapid detection of essential biomarkers in sweat.
Collapse
Affiliation(s)
- Wenze Yu
- School of Textile Science and Engineering, Tiangong University, Tianjin 300387, China; Key Laboratory of Advanced Textile Composites, Ministry of Education, Tiangong University, Tianjin, 300387, China
| | - Qiujin Li
- School of Textile Science and Engineering, Tiangong University, Tianjin 300387, China; Key Laboratory of Advanced Textile Composites, Ministry of Education, Tiangong University, Tianjin, 300387, China; National Innovation Center of Advanced Dyeing & Finishing Technology, Tai'an, Shandong, 271000, China.
| | - Jianing Ren
- School of Textile Science and Engineering, Tiangong University, Tianjin 300387, China; Key Laboratory of Advanced Textile Composites, Ministry of Education, Tiangong University, Tianjin, 300387, China
| | - Kexin Feng
- School of Textile Science and Engineering, Tiangong University, Tianjin 300387, China; Key Laboratory of Advanced Textile Composites, Ministry of Education, Tiangong University, Tianjin, 300387, China
| | - Jixian Gong
- School of Textile Science and Engineering, Tiangong University, Tianjin 300387, China; Key Laboratory of Advanced Textile Composites, Ministry of Education, Tiangong University, Tianjin, 300387, China; National Innovation Center of Advanced Dyeing & Finishing Technology, Tai'an, Shandong, 271000, China
| | - Zheng Li
- School of Textile Science and Engineering, Tiangong University, Tianjin 300387, China; Key Laboratory of Advanced Textile Composites, Ministry of Education, Tiangong University, Tianjin, 300387, China
| | - Jianfei Zhang
- School of Textile Science and Engineering, Tiangong University, Tianjin 300387, China; Key Laboratory of Advanced Textile Composites, Ministry of Education, Tiangong University, Tianjin, 300387, China; National Innovation Center of Advanced Dyeing & Finishing Technology, Tai'an, Shandong, 271000, China; Collaborative Innovation Center for Eco-Textiles of Shandong Province, Shandong, Qingdao, 266071, China
| | - Xiuming Liu
- School of Textile Science and Engineering, Tiangong University, Tianjin 300387, China; Key Laboratory of Advanced Textile Composites, Ministry of Education, Tiangong University, Tianjin, 300387, China
| | - Zhiwei Xu
- School of Textile Science and Engineering, Tiangong University, Tianjin 300387, China; Key Laboratory of Advanced Textile Composites, Ministry of Education, Tiangong University, Tianjin, 300387, China
| | - Li Yang
- School of Textile Science and Engineering, Tiangong University, Tianjin 300387, China; Key Laboratory of Advanced Textile Composites, Ministry of Education, Tiangong University, Tianjin, 300387, China
| |
Collapse
|
2
|
Wu T, Yang P, Xie X, Cao X, Deng Y, Ding X, Zhang Z. Bio-inspired hierarchical wearable patch for fast sweat collection. Biosens Bioelectron 2024; 260:116430. [PMID: 38815465 DOI: 10.1016/j.bios.2024.116430] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2024] [Revised: 05/15/2024] [Accepted: 05/24/2024] [Indexed: 06/01/2024]
Abstract
Sweat contains abundant physiological and metabolic data to evaluate an individual's physical health. Since the non-exercise sweat secretion rate is low, with an average value of 1-10 μl h-1 cm-2, sweat is generally collected during exercise for existing wearable sweat sensors. To expand their applications to include daily scenarios, these sensors developed for sports and fitness are challenged by the difficulty of collecting trace amounts of sweat. This study proposes a wearable patch inspired by the hierarchical structure of Sarracenia trichomes, allowing for the spontaneous and fast collection of a small amount of secreted sweat. The patch contains microfluidic channels featuring a 20 μm-wide rib structure, fully utilizing the capillary force, thereby eliminating the issue of sweat hysteresis. Furthermore, with only 0.5 μl of the sweat secreted at the collection site, it can converge on the detection medium located within the center reservoir. Volunteer verification demonstrated a twofold increase in sweat collection efficiency compared to traditional wearable patches. This patch serves as an efficient sweat-collection configuration, promising potential for diverse in situ sweat colorimetric analyses.
Collapse
Affiliation(s)
- Tianjie Wu
- School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, 200240, China
| | - Pufan Yang
- School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, 200240, China
| | - Xintong Xie
- School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, 200240, China
| | - Xi Cao
- School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, 200240, China
| | - Yujun Deng
- School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, 200240, China.
| | - Xianting Ding
- State Key Laboratory of Oncogenes and Related Genes, Institute for Personalized Medicine, School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, 200030, China
| | - Zhinan Zhang
- School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, 200240, China.
| |
Collapse
|
3
|
Garg M, Guo H, Maclam E, Zhanov E, Samudrala S, Pavlov A, Rahman MS, Namkoong M, Moreno JP, Tian L. Molecularly Imprinted Wearable Sensor with Paper Microfluidics for Real-Time Sweat Biomarker Analysis. ACS APPLIED MATERIALS & INTERFACES 2024. [PMID: 39178237 DOI: 10.1021/acsami.4c10033] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 08/25/2024]
Abstract
The urgent need for real-time and noninvasive monitoring of health-associated biochemical parameters has motivated the development of wearable sweat sensors. Existing electrochemical sensors show promise in real-time analysis of various chemical biomarkers. These sensors often rely on labels and redox probes to generate and amplify the signals for the detection and quantification of analytes with limited sensitivity. In this study, we introduce a molecularly imprinted polymer (MIP)-based biochemical sensor to quantify a molecular biomarker in sweat using electrochemical impedance spectroscopy, which eliminates the need for labels or redox probes. The molecularly imprinted biosensor can achieve sensitive and specific detection of cortisol at concentrations as low as 1 pM, 1000-fold lower than previously reported MIP cortisol sensors. We integrated multimodal electrochemical sensors with an iontophoresis sweat extraction module and paper microfluidics for real-time sweat analysis. Several parameters can be simultaneously quantified, including sweat volume, secretion rate, sodium ion, and cortisol concentration. Paper microfluidic modules not only quantify sweat volume and secretion rate but also facilitate continuous sweat analysis without user intervention. While we focus on cortisol sensing as a proof-of-concept, the molecularly imprinted wearable sensors can be extended to real-time detection of other biochemicals, such as protein biomarkers and therapeutic drugs.
Collapse
Affiliation(s)
- Mayank Garg
- Department of Biomedical Engineering, Texas A&M University, College Station 77843, Texas, United States
| | - Heng Guo
- Department of Biomedical Engineering, Texas A&M University, College Station 77843, Texas, United States
| | - Ethan Maclam
- Department of Biomedical Engineering, Texas A&M University, College Station 77843, Texas, United States
| | - Elizabeth Zhanov
- Department of Biomedical Engineering, Texas A&M University, College Station 77843, Texas, United States
| | - Sathwika Samudrala
- Department of Biomedical Engineering, Texas A&M University, College Station 77843, Texas, United States
| | - Anton Pavlov
- Department of Biomedical Engineering, Texas A&M University, College Station 77843, Texas, United States
| | - Md Saifur Rahman
- Department of Biomedical Engineering, Texas A&M University, College Station 77843, Texas, United States
| | - Myeong Namkoong
- Department of Biomedical Engineering, Texas A&M University, College Station 77843, Texas, United States
| | - Jennette P Moreno
- Department of Pediatrics-Nutrition, Baylor College of Medicine, Houston 77030, Texas, United States
| | - Limei Tian
- Department of Biomedical Engineering, Texas A&M University, College Station 77843, Texas, United States
- Center for Remote Health Technologies and Systems, Texas A&M University, College Station 77843, Texas, United States
| |
Collapse
|
4
|
Yin Y, Tan Z, Zhu W, Pu Z, Yu H, Wang R, Li D. A wearable microfluidic system for efficient sweat collection and real-time detection. Talanta 2024; 274:125967. [PMID: 38537349 DOI: 10.1016/j.talanta.2024.125967] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2023] [Revised: 03/01/2024] [Accepted: 03/20/2024] [Indexed: 05/04/2024]
Abstract
Sweat is an important biofluid with rich physiological information that can evaluate human health condition. Wearable sweat sensors have received widespread attention in recent years due to the benefits of non-invasive, continuous, and real-time monitoring. Currently, an efficient device integrating sweat collection and detection is still needed. Here, a wearable sweat microfluidic system was fabricated for real-time collection and analysis of sweat. The fabricated microfluidic system consisted of four layers, including a skin adhesive layer, a microfluidic layer, an electrode layer, and a capping layer. The sweat collection rate was around 0.79 μL/min, which demonstrated efficient sweat sampling, storage, and refreshing capabilities. Simultaneous detection of multiple sweat biomarkers was achieved with a screen-printed sweat sensing array, which could realize high-precision detection of Na+, K+, and glucose. Moreover, the sensing array also showed good repeatability and stability, with a relative standard deviation of sensitivity of less than 5%. Additionally, human testing was conducted to demonstrate that this microfluidic system can continuously monitor Na+, K+, and glucose in subjects' sweat during exercise, which showed high potential for non-invasive human health monitoring.
Collapse
Affiliation(s)
- Yingda Yin
- State Key Laboratory of Precision Measurement Technology and Instruments, Tianjin University, Tianjin, 300072, China
| | - Zhiguang Tan
- State Key Laboratory of Precision Measurement Technology and Instruments, Tianjin University, Tianjin, 300072, China
| | - Wangwang Zhu
- State Key Laboratory of Precision Measurement Technology and Instruments, Tianjin University, Tianjin, 300072, China
| | - Zhihua Pu
- State Key Laboratory of Precision Measurement Technology and Instruments, Tianjin University, Tianjin, 300072, China
| | - Haixia Yu
- State Key Laboratory of Precision Measurement Technology and Instruments, Tianjin University, Tianjin, 300072, China
| | - Ridong Wang
- State Key Laboratory of Precision Measurement Technology and Instruments, Tianjin University, Tianjin, 300072, China.
| | - Dachao Li
- State Key Laboratory of Precision Measurement Technology and Instruments, Tianjin University, Tianjin, 300072, China.
| |
Collapse
|
5
|
Askar CB, Cmager N, Altay R, Araci IE. Human Activity Recording Based on Skin-Strain-Actuated Microfluidic Pumping in Asymmetrically Designed Micro-Channels. SENSORS (BASEL, SWITZERLAND) 2024; 24:4207. [PMID: 39000986 PMCID: PMC11244335 DOI: 10.3390/s24134207] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 05/31/2024] [Revised: 06/14/2024] [Accepted: 06/20/2024] [Indexed: 07/16/2024]
Abstract
The capability to record data in passive, image-based wearable sensors can simplify data readouts and eliminate the requirement for the integration of electronic components on the skin. Here, we developed a skin-strain-actuated microfluidic pump (SAMP) that utilizes asymmetric aspect ratio channels for the recording of human activity in the fluidic domain. An analytical model describing the SAMP's operation mechanism as a wearable microfluidic device was established. Fabrication of the SAMP was achieved using soft lithography from polydimethylsiloxane (PDMS). Benchtop experimental results and theoretical predictions were shown to be in good agreement. The SAMP was mounted on human skin and experiments conducted on volunteer subjects demonstrated the SAMP's capability to record human activity for hundreds of cycles in the fluidic domain through the observation of a stable liquid meniscus. Proof-of-concept experiments further revealed that the SAMP could quantify a single wrist activity repetition or distinguish between three different shoulder activities.
Collapse
Affiliation(s)
| | - Nick Cmager
- Department of Bioengineering, Santa Clara University, Santa Clara, CA 95053, USA
| | - Rana Altay
- Department of Bioengineering, Santa Clara University, Santa Clara, CA 95053, USA
| | - I Emre Araci
- Department of Bioengineering, Santa Clara University, Santa Clara, CA 95053, USA
| |
Collapse
|
6
|
Zhou K, Ding R, Ma X, Lin Y. Printable and flexible integrated sensing systems for wireless healthcare. NANOSCALE 2024; 16:7264-7286. [PMID: 38470428 DOI: 10.1039/d3nr06099c] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/13/2024]
Abstract
The rapid development of wearable sensing devices and artificial intelligence has enabled portable and wireless tracking of human health, fulfilling the promise of digitalized healthcare applications. To achieve versatile design and integration of multi-functional modules including sensors and data transmission units onto various flexible platforms, printable technologies emerged as some of the most promising strategies. This review first introduces the commonly utilized printing technologies, followed by discussion of the printable ink formulations and flexible substrates to ensure reliable device fabrication and system integration. The advances of printable sensors for body status monitoring are then discussed. Moreover, the integration of wireless data transmission via printable approaches is also presented. Finally, the challenges in achieving printable sensing devices and wireless integrated systems with competitive performances are considered, so as to realize their practical applications for personalized healthcare.
Collapse
Affiliation(s)
- Kemeng Zhou
- School of Microelectronics, Southern University of Science and Technology, Shenzhen 518055, China.
| | - Ruochen Ding
- School of Microelectronics, Southern University of Science and Technology, Shenzhen 518055, China.
| | - Xiaohao Ma
- School of Microelectronics, Southern University of Science and Technology, Shenzhen 518055, China.
| | - Yuanjing Lin
- School of Microelectronics, Southern University of Science and Technology, Shenzhen 518055, China.
| |
Collapse
|
7
|
Liu M, Liu S, Zhang T, Zhou D, Li L, Gao Q, Liu Y, Ge C, Wang Y, Wang M, Wen F, Xiong Z, Zhou Z, Wang S, Zhang T. Adaptively resettable microfluidic patch for sweat rate and electrolytes detection. Biosens Bioelectron 2024; 257:116299. [PMID: 38636318 DOI: 10.1016/j.bios.2024.116299] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2024] [Revised: 04/07/2024] [Accepted: 04/14/2024] [Indexed: 04/20/2024]
Abstract
Skin-interfaced microfluidic patch has become a reliable device for sweat collection and analysis. However, the intractable problems of emptying the microchannel for reuse, and the channel's volumetric capacity limited by the size of the patch, directly hinder the practical application of sweat sensors. Herein, we report an adaptively resettable microfluidic sweat patch (Art-Sweat patch) capable of continuously monitoring both sweat rate (0.2-4.0 μL min-1) and total ionic charge concentration (10-200 mmol L-1). We develop a platform with a vertical and horizontal microchannel combined strategy, enabling repeatedly filling sweat and emptying the microchannel for autonomously resetting and detecting. The variation in the emptied volume is designed to be adaptively identified by the sensor, resulting in enhanced stability and an enlarged volumetric capacity of over 300 μL. By integrating with self-designed wireless transmission modules, the proposed Art-Sweat patch shows product-level wearability and high performance in monitoring variations in regional sweat rate and concentration for hydration status assessment.
Collapse
Affiliation(s)
- Mengyuan Liu
- School of Nano-Tech and Nano-Bionics, University of Science and Technology of China, 96 Jinzhai Road, Hefei, Anhui, 230026, PR China; i-Lab, Suzhou Institute of Nano-Tech and Nano-Bionics (SINANO), Chinese Academy of Sciences (CAS), 398 Ruoshui Road, Suzhou, Jiangsu, 215123, PR China
| | - Siyuan Liu
- School of Nano-Tech and Nano-Bionics, University of Science and Technology of China, 96 Jinzhai Road, Hefei, Anhui, 230026, PR China; i-Lab, Suzhou Institute of Nano-Tech and Nano-Bionics (SINANO), Chinese Academy of Sciences (CAS), 398 Ruoshui Road, Suzhou, Jiangsu, 215123, PR China
| | - Tong Zhang
- School of Nano-Tech and Nano-Bionics, University of Science and Technology of China, 96 Jinzhai Road, Hefei, Anhui, 230026, PR China; i-Lab, Suzhou Institute of Nano-Tech and Nano-Bionics (SINANO), Chinese Academy of Sciences (CAS), 398 Ruoshui Road, Suzhou, Jiangsu, 215123, PR China
| | - Dengfeng Zhou
- Suzhou Leanstar Electronic Technology Co., Ltd., 99 Jinji Lake Avenue, Suzhou, Jiangsu, 215123, PR China
| | - Lianhui Li
- School of Nano-Tech and Nano-Bionics, University of Science and Technology of China, 96 Jinzhai Road, Hefei, Anhui, 230026, PR China; i-Lab, Suzhou Institute of Nano-Tech and Nano-Bionics (SINANO), Chinese Academy of Sciences (CAS), 398 Ruoshui Road, Suzhou, Jiangsu, 215123, PR China
| | - Qiang Gao
- i-Lab, Suzhou Institute of Nano-Tech and Nano-Bionics (SINANO), Chinese Academy of Sciences (CAS), 398 Ruoshui Road, Suzhou, Jiangsu, 215123, PR China
| | - Yujie Liu
- i-Lab, Suzhou Institute of Nano-Tech and Nano-Bionics (SINANO), Chinese Academy of Sciences (CAS), 398 Ruoshui Road, Suzhou, Jiangsu, 215123, PR China
| | - Changlei Ge
- School of Nano-Tech and Nano-Bionics, University of Science and Technology of China, 96 Jinzhai Road, Hefei, Anhui, 230026, PR China; i-Lab, Suzhou Institute of Nano-Tech and Nano-Bionics (SINANO), Chinese Academy of Sciences (CAS), 398 Ruoshui Road, Suzhou, Jiangsu, 215123, PR China
| | - Yongfeng Wang
- i-Lab, Suzhou Institute of Nano-Tech and Nano-Bionics (SINANO), Chinese Academy of Sciences (CAS), 398 Ruoshui Road, Suzhou, Jiangsu, 215123, PR China
| | - Mingxu Wang
- i-Lab, Suzhou Institute of Nano-Tech and Nano-Bionics (SINANO), Chinese Academy of Sciences (CAS), 398 Ruoshui Road, Suzhou, Jiangsu, 215123, PR China
| | - Feng Wen
- i-Lab, Suzhou Institute of Nano-Tech and Nano-Bionics (SINANO), Chinese Academy of Sciences (CAS), 398 Ruoshui Road, Suzhou, Jiangsu, 215123, PR China
| | - Zuoping Xiong
- School of Nano-Tech and Nano-Bionics, University of Science and Technology of China, 96 Jinzhai Road, Hefei, Anhui, 230026, PR China; i-Lab, Suzhou Institute of Nano-Tech and Nano-Bionics (SINANO), Chinese Academy of Sciences (CAS), 398 Ruoshui Road, Suzhou, Jiangsu, 215123, PR China; Suzhou Leanstar Electronic Technology Co., Ltd., 99 Jinji Lake Avenue, Suzhou, Jiangsu, 215123, PR China
| | - Zhen Zhou
- Suzhou Leanstar Electronic Technology Co., Ltd., 99 Jinji Lake Avenue, Suzhou, Jiangsu, 215123, PR China
| | - Shuqi Wang
- School of Nano-Tech and Nano-Bionics, University of Science and Technology of China, 96 Jinzhai Road, Hefei, Anhui, 230026, PR China; i-Lab, Suzhou Institute of Nano-Tech and Nano-Bionics (SINANO), Chinese Academy of Sciences (CAS), 398 Ruoshui Road, Suzhou, Jiangsu, 215123, PR China.
| | - Ting Zhang
- School of Nano-Tech and Nano-Bionics, University of Science and Technology of China, 96 Jinzhai Road, Hefei, Anhui, 230026, PR China; i-Lab, Suzhou Institute of Nano-Tech and Nano-Bionics (SINANO), Chinese Academy of Sciences (CAS), 398 Ruoshui Road, Suzhou, Jiangsu, 215123, PR China; Nano-X Vacuum Interconnected Workstation, Suzhou Institute of Nano-Tech and Nano-Bionics (SINANO), Chinese Academy of Sciences (CAS), 398 Ruoshui Road, Suzhou, Jiangsu, 215123, PR China.
| |
Collapse
|
8
|
Anton-Păduraru DT, Azoicăi AN, Trofin F, Mîndru DE, Murgu AM, Bocec AS, Iliescu Halițchi CO, Ciongradi CI, Sȃrbu I, Iliescu ML. Diagnosing Cystic Fibrosis in the 21st Century-A Complex and Challenging Task. Diagnostics (Basel) 2024; 14:763. [PMID: 38611676 PMCID: PMC11012009 DOI: 10.3390/diagnostics14070763] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2024] [Revised: 03/24/2024] [Accepted: 03/28/2024] [Indexed: 04/14/2024] Open
Abstract
Cystic fibrosis (CF) is a chronic and potentially life-threatening condition, wherein timely diagnosis assumes paramount significance for the prompt initiation of therapeutic interventions, thereby ameliorating pulmonary function, addressing nutritional deficits, averting complications, mitigating morbidity, and ultimately enhancing the quality of life and extending longevity. This review aims to amalgamate existing knowledge to provide a comprehensive appraisal of contemporary diagnostic modalities pertinent to CF in the 21st century. Deliberations encompass discrete delineations of each diagnostic modality and the elucidation of potential diagnostic quandaries encountered in select instances, as well as the delineation of genotype-phenotype correlations germane to genetic counseling endeavors. The synthesis underscores that, notwithstanding the availability and strides in diagnostic methodologies, including genetic assays, the sweat test (ST) retains its position as the preeminent diagnostic standard for CF, serving as a robust surrogate for CFTR functionality. Prospective clinical investigations in the realm of CF should be orchestrated with the objective of discerning novel diagnostic modalities endowed with heightened specificity and sensitivity.
Collapse
Affiliation(s)
- Dana-Teodora Anton-Păduraru
- Department of Mother and Child Medicine, “Grigore T. Popa” University of Medicine and Pharmacy, 700115 Iaṣi, Romania; (D.-T.A.-P.); (A.N.A.); (D.E.M.); (A.M.M.); (A.S.B.); (C.O.I.H.)
- “Sf.Maria” Children Emergency Hospital, 700309 Iaṣi, Romania; (C.I.C.); (I.S.)
| | - Alice Nicoleta Azoicăi
- Department of Mother and Child Medicine, “Grigore T. Popa” University of Medicine and Pharmacy, 700115 Iaṣi, Romania; (D.-T.A.-P.); (A.N.A.); (D.E.M.); (A.M.M.); (A.S.B.); (C.O.I.H.)
- “Sf.Maria” Children Emergency Hospital, 700309 Iaṣi, Romania; (C.I.C.); (I.S.)
| | - Felicia Trofin
- Department of Preventive Medicine and Interdisciplinarity—Microbiology, “Grigore T. Popa” University of Medicine and Pharmacy, 700115 Iaṣi, Romania
| | - Dana Elena Mîndru
- Department of Mother and Child Medicine, “Grigore T. Popa” University of Medicine and Pharmacy, 700115 Iaṣi, Romania; (D.-T.A.-P.); (A.N.A.); (D.E.M.); (A.M.M.); (A.S.B.); (C.O.I.H.)
- “Sf.Maria” Children Emergency Hospital, 700309 Iaṣi, Romania; (C.I.C.); (I.S.)
| | - Alina Mariela Murgu
- Department of Mother and Child Medicine, “Grigore T. Popa” University of Medicine and Pharmacy, 700115 Iaṣi, Romania; (D.-T.A.-P.); (A.N.A.); (D.E.M.); (A.M.M.); (A.S.B.); (C.O.I.H.)
- “Sf.Maria” Children Emergency Hospital, 700309 Iaṣi, Romania; (C.I.C.); (I.S.)
| | - Ana Simona Bocec
- Department of Mother and Child Medicine, “Grigore T. Popa” University of Medicine and Pharmacy, 700115 Iaṣi, Romania; (D.-T.A.-P.); (A.N.A.); (D.E.M.); (A.M.M.); (A.S.B.); (C.O.I.H.)
| | - Codruța Olimpiada Iliescu Halițchi
- Department of Mother and Child Medicine, “Grigore T. Popa” University of Medicine and Pharmacy, 700115 Iaṣi, Romania; (D.-T.A.-P.); (A.N.A.); (D.E.M.); (A.M.M.); (A.S.B.); (C.O.I.H.)
| | - Carmen Iulia Ciongradi
- “Sf.Maria” Children Emergency Hospital, 700309 Iaṣi, Romania; (C.I.C.); (I.S.)
- 2nd Department of Surgery, Pediatric Surgery and Orthopedics, “Grigore T. Popa” University of Medicine and Pharmacy, 700115 Iaṣi, Romania
| | - Ioan Sȃrbu
- “Sf.Maria” Children Emergency Hospital, 700309 Iaṣi, Romania; (C.I.C.); (I.S.)
- 2nd Department of Surgery, Pediatric Surgery and Orthopedics, “Grigore T. Popa” University of Medicine and Pharmacy, 700115 Iaṣi, Romania
| | - Maria Liliana Iliescu
- Department of Preventive Medicine and Interdisciplinarity—Public Health and Health Management, “Grigore T. Popa” University of Medicine and Pharmacy, 700115 Iaṣi, Romania;
| |
Collapse
|
9
|
Xing Y, Wang Y, Li X, Pang S. Digital microfluidics methods for nucleic acid detection: A mini review. BIOMICROFLUIDICS 2024; 18:021501. [PMID: 38456173 PMCID: PMC10917463 DOI: 10.1063/5.0180125] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/07/2023] [Accepted: 02/01/2024] [Indexed: 03/09/2024]
Abstract
Many serious infectious diseases have occurred throughout human history. Rapid and accurate detection as well as the isolation of infected individuals, through nucleic acid testing, are effective means of containing the spread of these viruses. However, traditional nucleic acid testing methods rely on complex machines and specialized personnel, making it difficult to achieve large-scale, high-throughput, and rapid detection. In recent years, digital microfluidics has emerged as a promising technology that integrates various fields, including electrokinetics, acoustics, optics, magnetism, and mechanics. By leveraging the advantages of these different technologies, digital microfluidic chips offer several benefits, such as high detection throughput, integration of multiple functions, low reagent consumption, and portability. This rapid and efficient testing is crucial in the timely detection and isolation of infected individuals to prevent the virus spread. Another advantage is the low reagent consumption of digital microfluidic chips. Compared to traditional methods, these chips require smaller volumes of reagents, resulting in cost savings and reduced waste. Furthermore, digital microfluidic chips are portable and can be easily integrated into point-of-care testing devices. This enables testing to be conducted in remote or resource-limited areas, where access to complex laboratory equipment may be limited. Onsite testing reduces the time and cost associated with sample transportation. In conclusion, bioassay technologies based on digital microfluidic principles have the potential to significantly improve infectious disease detection and control. By enabling rapid, high-throughput, and portable testing, these technologies enhance our ability to contain the spread of infectious diseases and effectively manage public health outbreaks.
Collapse
Affiliation(s)
- Youqiang Xing
- School of Mechanical Engineering, Southeast University, Nanjing 211189, Jiangsu Province, People’s Republic of China
| | - Yan Wang
- Clinical Laboratory, Yantai Yuhuangding Hospital, Yantai 264000, Shandong Province, People’s Republic of China
| | - Xiang Li
- Bio-manufacturing Engineering Laboratory, Tsinghua Shenzhen International Graduate School, Tsinghua University, Guangdong 518000, Shenzhen, People’s Republic of China
| | - Shangran Pang
- Jinzhong Normal Junior College, 189 Guang'an Street, Yuci District, Jinzhong 030600, Shanxi Province, People’s Republic of China
| |
Collapse
|
10
|
Zhong B, Qin X, Xu H, Liu L, Li L, Li Z, Cao L, Lou Z, Jackman JA, Cho NJ, Wang L. Interindividual- and blood-correlated sweat phenylalanine multimodal analytical biochips for tracking exercise metabolism. Nat Commun 2024; 15:624. [PMID: 38245507 PMCID: PMC10799919 DOI: 10.1038/s41467-024-44751-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2023] [Accepted: 01/03/2024] [Indexed: 01/22/2024] Open
Abstract
In situ monitoring of endogenous amino acid loss through sweat can provide physiological insights into health and metabolism. However, existing amino acid biosensors are unable to quantitatively assess metabolic status during exercise and are rarely used to establish blood-sweat correlations because they only detect a single concentration indicator and disregard sweat rate. Here, we present a wearable multimodal biochip integrated with advanced electrochemical electrodes and multipurpose microfluidic channels that enables simultaneous quantification of multiple sweat indicators, including phenylalanine and chloride, as well as sweat rate. This combined measurement approach reveals a negative correlation between sweat phenylalanine levels and sweat rates among individuals, which further enables identification of individuals at high metabolic risk. By tracking phenylalanine fluctuations induced by protein intake during exercise and normalizing the concentration indicator by sweat rates to reduce interindividual variability, we demonstrate a reliable method to correlate and analyze sweat-blood phenylalanine levels for personal health monitoring.
Collapse
Affiliation(s)
- Bowen Zhong
- State Key Laboratory for Superlattices and Microstructures, Institute of Semiconductors, Chinese Academy of Sciences, Beijing, 100083, China
- Center of Materials Science and Optoelectronic Engineering, University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Xiaokun Qin
- State Key Laboratory for Superlattices and Microstructures, Institute of Semiconductors, Chinese Academy of Sciences, Beijing, 100083, China
- Center of Materials Science and Optoelectronic Engineering, University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Hao Xu
- State Key Laboratory for Superlattices and Microstructures, Institute of Semiconductors, Chinese Academy of Sciences, Beijing, 100083, China
- Center of Materials Science and Optoelectronic Engineering, University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Lingchen Liu
- State Key Laboratory for Superlattices and Microstructures, Institute of Semiconductors, Chinese Academy of Sciences, Beijing, 100083, China
- Center of Materials Science and Optoelectronic Engineering, University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Linlin Li
- State Key Laboratory for Superlattices and Microstructures, Institute of Semiconductors, Chinese Academy of Sciences, Beijing, 100083, China
- Center of Materials Science and Optoelectronic Engineering, University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Zhexin Li
- State Key Laboratory for Superlattices and Microstructures, Institute of Semiconductors, Chinese Academy of Sciences, Beijing, 100083, China
- Center of Materials Science and Optoelectronic Engineering, University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Limin Cao
- Tianjin Key Laboratory of Lung Cancer Metastasis and Tumor Microenvironment, Tianjin Lung Cancer Institute, Tianjin Medical University General Hospital, Tianjin, 300052, China
| | - Zheng Lou
- State Key Laboratory for Superlattices and Microstructures, Institute of Semiconductors, Chinese Academy of Sciences, Beijing, 100083, China
- Center of Materials Science and Optoelectronic Engineering, University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Joshua A Jackman
- School of Chemical Engineering and Translational Nanobioscience Research Center, Sungkyunkwan University, Suwon, 16419, Republic of Korea
| | - Nam-Joon Cho
- School of Materials Science and Engineering, Nanyang Technological University, 637553, Singapore, Singapore
| | - Lili Wang
- State Key Laboratory for Superlattices and Microstructures, Institute of Semiconductors, Chinese Academy of Sciences, Beijing, 100083, China.
- Center of Materials Science and Optoelectronic Engineering, University of Chinese Academy of Sciences, Beijing, 100049, China.
| |
Collapse
|
11
|
Yang H, Ding H, Wei W, Li X, Duan X, Zhuang C, Liu W, Chen S, Wang X. Skin-interfaced microfluidic sweat collection devices for personalized hydration management through thermal feedback. LAB ON A CHIP 2024; 24:356-366. [PMID: 38108440 DOI: 10.1039/d3lc00791j] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/19/2023]
Abstract
Non-electronic wearables that utilize skin-interfaced microfluidic technology have revolutionized the collection and analysis of human sweat, providing valuable biochemical information and indicating body hydration status. However, existing microfluidic devices often require constant monitoring of data during sweat assessment, thereby impeding the user experience and potentially missing anomalous physiological events, such as excessive sweating. Moreover, the complex manufacturing process hampers the scalability and large-scale production of such devices. Herein, we present a self-feedback microfluidic device with a unique dehydration reminder through a cost-effective "CAD-to-3D device" approach. It incorporates two independent systems for sweat collection and thermal feedback, including serpentine microchannels, reservoirs, petal-like bursting valves and heating chambers. The device operates by sequentially collecting sweat in the channels and reservoirs, and then activating thermal stimulators in the heating chambers through breaking the valves, initiating a chemical exothermic reaction. Human trials validate that the devices effectively alert users to potential dehydration by inducing skin thermal sensations triggered by sweat sampling. The proposed device offers facile scalability and customizable fabrication, and holds promise for managing hydration strategies in real-world scenarios, benefiting individuals engaged in sporting activities or exposed to high-temperature settings.
Collapse
Affiliation(s)
- Hanlin Yang
- School of Materials Science and Engineering, Xiangtan University, Xiangtan, Hunan 411105, China.
| | - Hongyan Ding
- School of Materials Science and Engineering, Xiangtan University, Xiangtan, Hunan 411105, China.
| | - Wenkui Wei
- School of Materials Science and Engineering, Xiangtan University, Xiangtan, Hunan 411105, China.
| | - Xiaofeng Li
- School of Materials Science and Engineering, Xiangtan University, Xiangtan, Hunan 411105, China.
| | - Xiaojun Duan
- Respiratory medicine department, Hunan Children's Hospital, Changsha, Hunan 410007, China
| | - Changgen Zhuang
- School of Materials Science and Engineering, Xiangtan University, Xiangtan, Hunan 411105, China.
| | - Weiyi Liu
- School of Materials Science and Engineering, Xiangtan University, Xiangtan, Hunan 411105, China.
| | - Shangda Chen
- School of Materials Science and Engineering, Xiangtan University, Xiangtan, Hunan 411105, China.
| | - Xiufeng Wang
- School of Materials Science and Engineering, Xiangtan University, Xiangtan, Hunan 411105, China.
| |
Collapse
|
12
|
Liu M, Wang S, Xiong Z, Zheng Z, Ma N, Li L, Gao Q, Ge C, Wang Y, Zhang T. Perspiration permeable, textile embeddable microfluidic sweat sensor. Biosens Bioelectron 2023; 237:115504. [PMID: 37406481 DOI: 10.1016/j.bios.2023.115504] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2023] [Revised: 06/26/2023] [Accepted: 06/28/2023] [Indexed: 07/07/2023]
Abstract
Epidermal microfluidic devices are continuously being developed for efficient sweat collection and sweat rate detection. However, most microfluidic designs ignore the use of airtight/adhesive substrate will block the natural perspiration of the covered sweat pores, which will seriously affect normal sweat production and long-term wearable comfort. Herein, we present a Janus textile-embedded microfluidic sensor platform with high breathability and directional sweat permeability for synchronous sweat rate and total electrolyte concentration detection. The device consists of a hollowed-out serpentine microchannel with interdigital electrodes and Janus textile. The dual-mode signal of the sweat rate (0.2-4.0 μL min-1) and total ionic charge concentration (10-200 mmol L-1) can be obtained synchronously by decoupling conductance step signals generated when sweat flows through alternating interdigitated spokes at equal intervals in the microchannel. Meanwhile, the hollowed-out microchannel structure significantly reduces the coverage area of the sensor on the skin, and the Janus textile-embedded device ensures a comfortable skin/device interface (fewer sweat pores are blocked) and improves breathability (503.15 g m-2 d-1) and sweat permeability (directional liquid transportation) during long-term monitoring. This device is washable and reusable, which shows the potential to integrate with clothing and smart textile, and thus facilitate the practicality of wearable sweat sensors for personalized healthcare.
Collapse
Affiliation(s)
- Mengyuan Liu
- School of Nano-Tech and Nano-Bionics, University of Science and Technology of China, 96 Jinzhai Road, Hefei, Anhui, 230026, PR China; i-Lab, Key Laboratory of Multifunctional Nanomaterials and Smart Systems, Suzhou Institute of Nano-Tech and Nano-Bionics (SINANO), Chinese Academy of Sciences (CAS), 398 Ruoshui Road, Suzhou, Jiangsu, 215123, PR China
| | - Shuqi Wang
- School of Nano-Tech and Nano-Bionics, University of Science and Technology of China, 96 Jinzhai Road, Hefei, Anhui, 230026, PR China; i-Lab, Key Laboratory of Multifunctional Nanomaterials and Smart Systems, Suzhou Institute of Nano-Tech and Nano-Bionics (SINANO), Chinese Academy of Sciences (CAS), 398 Ruoshui Road, Suzhou, Jiangsu, 215123, PR China.
| | - Zuoping Xiong
- School of Nano-Tech and Nano-Bionics, University of Science and Technology of China, 96 Jinzhai Road, Hefei, Anhui, 230026, PR China; i-Lab, Key Laboratory of Multifunctional Nanomaterials and Smart Systems, Suzhou Institute of Nano-Tech and Nano-Bionics (SINANO), Chinese Academy of Sciences (CAS), 398 Ruoshui Road, Suzhou, Jiangsu, 215123, PR China
| | - Zhuo Zheng
- i-Lab, Key Laboratory of Multifunctional Nanomaterials and Smart Systems, Suzhou Institute of Nano-Tech and Nano-Bionics (SINANO), Chinese Academy of Sciences (CAS), 398 Ruoshui Road, Suzhou, Jiangsu, 215123, PR China
| | - Nan Ma
- i-Lab, Key Laboratory of Multifunctional Nanomaterials and Smart Systems, Suzhou Institute of Nano-Tech and Nano-Bionics (SINANO), Chinese Academy of Sciences (CAS), 398 Ruoshui Road, Suzhou, Jiangsu, 215123, PR China; School of Environmental and Biological Engineering, Nanjing University of Science and Technology, 200 Xiaolingwei Road, Nanjing, Jiangsu, 210094, PR China
| | - Lianhui Li
- i-Lab, Key Laboratory of Multifunctional Nanomaterials and Smart Systems, Suzhou Institute of Nano-Tech and Nano-Bionics (SINANO), Chinese Academy of Sciences (CAS), 398 Ruoshui Road, Suzhou, Jiangsu, 215123, PR China
| | - Qiang Gao
- i-Lab, Key Laboratory of Multifunctional Nanomaterials and Smart Systems, Suzhou Institute of Nano-Tech and Nano-Bionics (SINANO), Chinese Academy of Sciences (CAS), 398 Ruoshui Road, Suzhou, Jiangsu, 215123, PR China
| | - Changlei Ge
- School of Nano-Tech and Nano-Bionics, University of Science and Technology of China, 96 Jinzhai Road, Hefei, Anhui, 230026, PR China; i-Lab, Key Laboratory of Multifunctional Nanomaterials and Smart Systems, Suzhou Institute of Nano-Tech and Nano-Bionics (SINANO), Chinese Academy of Sciences (CAS), 398 Ruoshui Road, Suzhou, Jiangsu, 215123, PR China
| | - Yongfeng Wang
- i-Lab, Key Laboratory of Multifunctional Nanomaterials and Smart Systems, Suzhou Institute of Nano-Tech and Nano-Bionics (SINANO), Chinese Academy of Sciences (CAS), 398 Ruoshui Road, Suzhou, Jiangsu, 215123, PR China
| | - Ting Zhang
- School of Nano-Tech and Nano-Bionics, University of Science and Technology of China, 96 Jinzhai Road, Hefei, Anhui, 230026, PR China; i-Lab, Key Laboratory of Multifunctional Nanomaterials and Smart Systems, Suzhou Institute of Nano-Tech and Nano-Bionics (SINANO), Chinese Academy of Sciences (CAS), 398 Ruoshui Road, Suzhou, Jiangsu, 215123, PR China; Nano-X Vacuum Interconnected Workstation, Key Laboratory of Multifunctional Nanomaterials and Smart Systems, Suzhou Institute of Nano-Tech and Nano-Bionics (SINANO), Chinese Academy of Sciences (CAS), 398 Ruoshui Road, Suzhou, Jiangsu, 215123, PR China.
| |
Collapse
|
13
|
Cai L, Chen G, Sun L, Miao S, Shang L, Zhao Y, Sun L. Rocket-Inspired Effervescent Motors for Oral Macromolecule Delivery. ADVANCED MATERIALS (DEERFIELD BEACH, FLA.) 2023; 35:e2210679. [PMID: 37120721 DOI: 10.1002/adma.202210679] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/17/2022] [Revised: 04/10/2023] [Indexed: 06/19/2023]
Abstract
Oral administration is among the most convenient ways with good patient compliance for drug delivery; while it remains a challenge to achieve desirable bioavailability of most macromolecules due to the complex gastrointestinal barriers. Here, inspired by the structure and function of rocket, a novel micromotor delivery system is presented with scaled-down rocket-like architecture and effervescent-tablets-derived fuel for efficient oral macromolecule delivery by penetrating intestinal barrier. These rocket-inspired effervescent motors (RIEMs) are composed of sharp needle tips for both loading cargoes and efficient penetrating, and tail wings for loading effervescent powders and avoiding perforation. When exposed to a water environment, the effervescent fuel generates intensive CO2 bubbles to propel the RIEMs to move at high speed. Thus, the RIEMs with their sharp tip can inject into the surrounding mucosa for effective drug release. Furthermore, benefiting from their tail-wing design, perforation can be effectively avoided during the injection process, ensuring the safety of the RIEMs in gastrointestinal active delivery. Based on these advantages, it is demonstrated that the RIEMs can efficiently move and stab into the intestinal mucosa for insulin delivery, exhibiting efficacy in regulating blood sugar glucose in a diabetic rabbit model. These features indicate that these RIEMs are versatile and valuable for clinical oral delivery of macromolecules.
Collapse
Affiliation(s)
- Lijun Cai
- Department of Rheumatology and Immunology, Nanjing Drum Tower Hospital, School of Biological Science and Medical Engineering, Southeast University, Nanjing, 210096, China
| | - Guopu Chen
- Department of Rheumatology and Immunology, Nanjing Drum Tower Hospital, School of Biological Science and Medical Engineering, Southeast University, Nanjing, 210096, China
| | - Lingyu Sun
- Department of Rheumatology and Immunology, Nanjing Drum Tower Hospital, School of Biological Science and Medical Engineering, Southeast University, Nanjing, 210096, China
| | - Shuangshuang Miao
- Department of Rheumatology and Immunology, Nanjing Drum Tower Hospital, School of Biological Science and Medical Engineering, Southeast University, Nanjing, 210096, China
| | - Luoran Shang
- Shanghai Xuhui Central Hospital, Zhongshan-Xuhui Hospital, and the Shanghai Key Laboratory of Medical Epigenetics, International Co-laboratory of Medical Epigenetics and Metabolism (Ministry of Science and Technology), Institutes of Biomedical Sciences, Fudan University, Shanghai, 200032, China
| | - Yuanjin Zhao
- Department of Rheumatology and Immunology, Nanjing Drum Tower Hospital, School of Biological Science and Medical Engineering, Southeast University, Nanjing, 210096, China
- Oujiang Laboratory (Zhejiang Lab for Regenerative Medicine, Vision and Brain Health), Wenzhou Institute, University of Chinese Academy of Sciences, Wenzhou, 325001, China
- Chemistry and Biomedicine Innovation Center, Nanjing University, Nanjing, 210023, P. R. China
| | - Lingyun Sun
- Department of Rheumatology and Immunology, Nanjing Drum Tower Hospital, School of Biological Science and Medical Engineering, Southeast University, Nanjing, 210096, China
- Department of Rheumatology and Immunology, The First Affiliated Hospital of Anhui Medical University, Hefei, 230022, China
| |
Collapse
|
14
|
Liu W, Lee LP. Toward Rapid and Accurate Molecular Diagnostics at Home. ADVANCED MATERIALS (DEERFIELD BEACH, FLA.) 2023; 35:e2206525. [PMID: 36416278 DOI: 10.1002/adma.202206525] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/18/2022] [Revised: 11/14/2022] [Indexed: 05/26/2023]
Abstract
The global outbreaks of infectious diseases have significantly driven an imperative demand for rapid and accurate molecular diagnostics. Nucleic acid amplification tests (NAATs) feature high sensitivity and high specificity; however, the labor-intensive sample preparation and nucleic acid amplification steps remain challenging in order to carry out rapid and precision molecular diagnostics at home. This review discusses the advances and challenges of automatic solutions of sample preparation integrated with on-chip nucleic acid amplification for effective and accurate molecular diagnostics at home. The sample preparation methods of whole blood, urine, saliva/nasal swab, and stool on chip are examined. Then, the repurposable integrated sample preparation on a chip using various biological samples is investigated. Finally, the on-chip NAATs that can be integrated with automated sample preparation are evaluated. The user-friendly approaches with combined sample preparation and NAATs can be the game changers for next-generation rapid and precision home diagnostics.
Collapse
Affiliation(s)
- Wenpeng Liu
- Harvard Medical School, Harvard University, Boston, MA, 02115, USA
- Division of Engineering in Medicine and Renal Division, Department of Medicine, Brigham Women's Hospital, Boston, MA, 02115, USA
| | - Luke P Lee
- Harvard Medical School, Harvard University, Boston, MA, 02115, USA
- Division of Engineering in Medicine and Renal Division, Department of Medicine, Brigham Women's Hospital, Boston, MA, 02115, USA
- Department of Bioengineering, Department of Electrical Engineering and Computer Science, University of California at Berkeley, Berkeley, CA, 94720, USA
- Department of Biophysics, Institute of Quantum Biophysics, Sungkyunkwan University (SKKU), Suwon, 16419, Republic of Korea
| |
Collapse
|
15
|
Min J, Tu J, Xu C, Lukas H, Shin S, Yang Y, Solomon SA, Mukasa D, Gao W. Skin-Interfaced Wearable Sweat Sensors for Precision Medicine. Chem Rev 2023; 123:5049-5138. [PMID: 36971504 PMCID: PMC10406569 DOI: 10.1021/acs.chemrev.2c00823] [Citation(s) in RCA: 82] [Impact Index Per Article: 82.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/29/2023]
Abstract
Wearable sensors hold great potential in empowering personalized health monitoring, predictive analytics, and timely intervention toward personalized healthcare. Advances in flexible electronics, materials science, and electrochemistry have spurred the development of wearable sweat sensors that enable the continuous and noninvasive screening of analytes indicative of health status. Existing major challenges in wearable sensors include: improving the sweat extraction and sweat sensing capabilities, improving the form factor of the wearable device for minimal discomfort and reliable measurements when worn, and understanding the clinical value of sweat analytes toward biomarker discovery. This review provides a comprehensive review of wearable sweat sensors and outlines state-of-the-art technologies and research that strive to bridge these gaps. The physiology of sweat, materials, biosensing mechanisms and advances, and approaches for sweat induction and sampling are introduced. Additionally, design considerations for the system-level development of wearable sweat sensing devices, spanning from strategies for prolonged sweat extraction to efficient powering of wearables, are discussed. Furthermore, the applications, data analytics, commercialization efforts, challenges, and prospects of wearable sweat sensors for precision medicine are discussed.
Collapse
Affiliation(s)
- Jihong Min
- Andrew and Peggy Cherng Department of Medical Engineering, Division of Engineering and Applied Science, California Institute of Technology, Pasadena, California, 91125, USA
| | - Jiaobing Tu
- Andrew and Peggy Cherng Department of Medical Engineering, Division of Engineering and Applied Science, California Institute of Technology, Pasadena, California, 91125, USA
| | - Changhao Xu
- Andrew and Peggy Cherng Department of Medical Engineering, Division of Engineering and Applied Science, California Institute of Technology, Pasadena, California, 91125, USA
| | - Heather Lukas
- Andrew and Peggy Cherng Department of Medical Engineering, Division of Engineering and Applied Science, California Institute of Technology, Pasadena, California, 91125, USA
| | - Soyoung Shin
- Andrew and Peggy Cherng Department of Medical Engineering, Division of Engineering and Applied Science, California Institute of Technology, Pasadena, California, 91125, USA
| | - Yiran Yang
- Andrew and Peggy Cherng Department of Medical Engineering, Division of Engineering and Applied Science, California Institute of Technology, Pasadena, California, 91125, USA
| | - Samuel A. Solomon
- Andrew and Peggy Cherng Department of Medical Engineering, Division of Engineering and Applied Science, California Institute of Technology, Pasadena, California, 91125, USA
| | - Daniel Mukasa
- Andrew and Peggy Cherng Department of Medical Engineering, Division of Engineering and Applied Science, California Institute of Technology, Pasadena, California, 91125, USA
| | - Wei Gao
- Andrew and Peggy Cherng Department of Medical Engineering, Division of Engineering and Applied Science, California Institute of Technology, Pasadena, California, 91125, USA
| |
Collapse
|
16
|
Luo Y, Abidian MR, Ahn JH, Akinwande D, Andrews AM, Antonietti M, Bao Z, Berggren M, Berkey CA, Bettinger CJ, Chen J, Chen P, Cheng W, Cheng X, Choi SJ, Chortos A, Dagdeviren C, Dauskardt RH, Di CA, Dickey MD, Duan X, Facchetti A, Fan Z, Fang Y, Feng J, Feng X, Gao H, Gao W, Gong X, Guo CF, Guo X, Hartel MC, He Z, Ho JS, Hu Y, Huang Q, Huang Y, Huo F, Hussain MM, Javey A, Jeong U, Jiang C, Jiang X, Kang J, Karnaushenko D, Khademhosseini A, Kim DH, Kim ID, Kireev D, Kong L, Lee C, Lee NE, Lee PS, Lee TW, Li F, Li J, Liang C, Lim CT, Lin Y, Lipomi DJ, Liu J, Liu K, Liu N, Liu R, Liu Y, Liu Y, Liu Z, Liu Z, Loh XJ, Lu N, Lv Z, Magdassi S, Malliaras GG, Matsuhisa N, Nathan A, Niu S, Pan J, Pang C, Pei Q, Peng H, Qi D, Ren H, Rogers JA, Rowe A, Schmidt OG, Sekitani T, Seo DG, Shen G, Sheng X, Shi Q, Someya T, Song Y, Stavrinidou E, Su M, Sun X, Takei K, Tao XM, Tee BCK, Thean AVY, Trung TQ, Wan C, Wang H, Wang J, Wang M, Wang S, Wang T, Wang ZL, Weiss PS, Wen H, Xu S, Xu T, Yan H, Yan X, Yang H, Yang L, Yang S, Yin L, Yu C, Yu G, Yu J, Yu SH, Yu X, Zamburg E, Zhang H, Zhang X, Zhang X, Zhang X, Zhang Y, Zhang Y, Zhao S, Zhao X, Zheng Y, Zheng YQ, Zheng Z, Zhou T, Zhu B, Zhu M, Zhu R, Zhu Y, Zhu Y, Zou G, Chen X. Technology Roadmap for Flexible Sensors. ACS NANO 2023; 17:5211-5295. [PMID: 36892156 PMCID: PMC11223676 DOI: 10.1021/acsnano.2c12606] [Citation(s) in RCA: 194] [Impact Index Per Article: 194.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/18/2023]
Abstract
Humans rely increasingly on sensors to address grand challenges and to improve quality of life in the era of digitalization and big data. For ubiquitous sensing, flexible sensors are developed to overcome the limitations of conventional rigid counterparts. Despite rapid advancement in bench-side research over the last decade, the market adoption of flexible sensors remains limited. To ease and to expedite their deployment, here, we identify bottlenecks hindering the maturation of flexible sensors and propose promising solutions. We first analyze challenges in achieving satisfactory sensing performance for real-world applications and then summarize issues in compatible sensor-biology interfaces, followed by brief discussions on powering and connecting sensor networks. Issues en route to commercialization and for sustainable growth of the sector are also analyzed, highlighting environmental concerns and emphasizing nontechnical issues such as business, regulatory, and ethical considerations. Additionally, we look at future intelligent flexible sensors. In proposing a comprehensive roadmap, we hope to steer research efforts towards common goals and to guide coordinated development strategies from disparate communities. Through such collaborative efforts, scientific breakthroughs can be made sooner and capitalized for the betterment of humanity.
Collapse
Affiliation(s)
- Yifei Luo
- Institute of Materials Research and Engineering (IMRE), Agency for Science, Technology and Research (A*STAR), 2 Fusionopolis Way, #08-03 Innovis, Singapore 138634, Republic of Singapore
- Innovative Centre for Flexible Devices (iFLEX), School of Materials Science and Engineering, Nanyang Technological University, Singapore 639798, Singapore
| | - Mohammad Reza Abidian
- Department of Biomedical Engineering, University of Houston, Houston, Texas 77024, United States
| | - Jong-Hyun Ahn
- School of Electrical and Electronic Engineering, Yonsei University, Seoul 03722, Republic of Korea
| | - Deji Akinwande
- Department of Electrical and Computer Engineering, The University of Texas at Austin, Austin, Texas 78712, United States
- Microelectronics Research Center, The University of Texas at Austin, Austin, Texas 78758, United States
| | - Anne M Andrews
- Department of Chemistry and Biochemistry, California NanoSystems Institute, and Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, and Hatos Center for Neuropharmacology, University of California, Los Angeles, Los Angeles, California 90095, United States
| | - Markus Antonietti
- Colloid Chemistry Department, Max Planck Institute of Colloids and Interfaces, 14476 Potsdam, Germany
| | - Zhenan Bao
- Department of Chemical Engineering, Stanford University, Stanford, California 94305, United States
| | - Magnus Berggren
- Laboratory of Organic Electronics, Department of Science and Technology, Campus Norrköping, Linköping University, 83 Linköping, Sweden
- Wallenberg Initiative Materials Science for Sustainability (WISE) and Wallenberg Wood Science Center (WWSC), SE-100 44 Stockholm, Sweden
| | - Christopher A Berkey
- Department of Materials Science and Engineering, Stanford University, Stanford, California 94301, United States
| | - Christopher John Bettinger
- Department of Biomedical Engineering and Department of Materials Science and Engineering, Carnegie Mellon University, Pittsburgh, Pennsylvania 15213, United States
| | - Jun Chen
- Department of Bioengineering, University of California, Los Angeles, Los Angeles, California 90095, United States
| | - Peng Chen
- School of Chemistry, Chemical Engineering and Biotechnology, Nanyang Technological University, Singapore 637457, Singapore
| | - Wenlong Cheng
- Nanobionics Group, Department of Chemical and Biological Engineering, Monash University, Clayton, Australia, 3800
- Monash Institute of Medical Engineering, Monash University, Clayton, Australia3800
| | - Xu Cheng
- Applied Mechanics Laboratory, Department of Engineering Mechanics, Laboratory of Flexible Electronics Technology, Tsinghua University, Beijing 100084, PR China
| | - Seon-Jin Choi
- Division of Materials of Science and Engineering, Hanyang University, 222 Wangsimni-ro, Seongdong-gu, Seoul 04763, Republic of Korea
| | - Alex Chortos
- School of Mechanical Engineering, Purdue University, West Lafayette, Indiana 47906, United States
| | - Canan Dagdeviren
- Media Lab, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, United States
| | - Reinhold H Dauskardt
- Department of Materials Science and Engineering, Stanford University, Stanford, California 94301, United States
| | - Chong-An Di
- Beijing National Laboratory for Molecular Sciences, CAS Key Laboratory of Organic Solids, Institute of Chemistry, Chinese Academy of Sciences, Beijing 100190, China
| | - Michael D Dickey
- Department of Chemical and Biomolecular Engineering, North Carolina State University, Raleigh, North Carolina 27606, United States
| | - Xiangfeng Duan
- Department of Chemistry and Biochemistry, California NanoSystems Institute, University of California, Los Angeles, Los Angeles, California 90095, United States
| | - Antonio Facchetti
- Department of Chemistry and the Materials Research Center, Northwestern University, Evanston, Illinois 60208, United States
| | - Zhiyong Fan
- Department of Electronic and Computer Engineering and Department of Chemical and Biological Engineering, The Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong SAR, China
| | - Yin Fang
- School of Chemistry, Chemical Engineering and Biotechnology, Nanyang Technological University, Singapore 637457, Singapore
| | - Jianyou Feng
- State Key Laboratory of Molecular Engineering of Polymers, Department of Macromolecular Science, and Laboratory of Advanced Materials, Fudan University, Shanghai 200438, PR China
| | - Xue Feng
- Laboratory of Flexible Electronics Technology, Department of Engineering Mechanics, Tsinghua University, Beijing 100084, China
| | - Huajian Gao
- School of Mechanical and Aerospace Engineering, Nanyang Technological University, Singapore 639798, Singapore
- Institute of High Performance Computing (IHPC), Agency for Science, Technology and Research (A*STAR), 1 Fusionopolis Way, #16-16 Connexis, Singapore 138632, Republic of Singapore
| | - Wei Gao
- Andrew and Peggy Cherng Department of Medical Engineering, California Institute of Technology, Pasadena, California, 91125, United States
| | - Xiwen Gong
- Department of Chemical Engineering, Department of Materials Science and Engineering, Department of Electrical Engineering and Computer Science, Applied Physics Program, and Macromolecular Science and Engineering Program, University of Michigan, Ann Arbor, Michigan, 48109 United States
| | - Chuan Fei Guo
- Department of Materials Science and Engineering, Southern University of Science and Technology, Shenzhen 518055, China
| | - Xiaojun Guo
- National Key Laboratory of Science and Technology on Micro/Nano Fabrication, School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China
| | - Martin C Hartel
- Department of Bioengineering, University of California, Los Angeles, Los Angeles, California 90095, United States
| | - Zihan He
- Beijing National Laboratory for Molecular Sciences, CAS Key Laboratory of Organic Solids, Institute of Chemistry, Chinese Academy of Sciences, Beijing 100190, China
| | - John S Ho
- Institute for Health Innovation and Technology, National University of Singapore, Singapore 117599, Singapore
- Department of Electrical and Computer Engineering, National University of Singapore, Singapore 117583, Singapore
- The N.1 Institute for Health, National University of Singapore, Singapore 117456, Singapore
| | - Youfan Hu
- School of Electronics and Center for Carbon-Based Electronics, Peking University, Beijing 100871, China
| | - Qiyao Huang
- School of Fashion and Textiles, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong SAR, China
| | - Yu Huang
- Department of Materials Science and Engineering, California NanoSystems Institute, University of California, Los Angeles, Los Angeles, California 90095, United States
| | - Fengwei Huo
- Key Laboratory of Flexible Electronics (KLOFE) and Institute of Advanced Materials (IAM), Nanjing Tech University (NanjingTech), 30 South Puzhu Road, Nanjing 211816, PR China
| | - Muhammad M Hussain
- mmh Labs, Elmore Family School of Electrical and Computer Engineering, Purdue University, West Lafayette, Indiana 47906, United States
| | - Ali Javey
- Electrical Engineering and Computer Sciences, University of California, Berkeley, California 94720, United States
- Materials Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, California 94720, United States
| | - Unyong Jeong
- Department of Materials Science and Engineering, Pohang University of Science and Engineering (POSTECH), Pohang, Gyeong-buk 37673, Korea
| | - Chen Jiang
- Department of Electronic Engineering, Tsinghua University, Beijing 100084, China
| | - Xingyu Jiang
- Department of Biomedical Engineering, Southern University of Science and Technology, No 1088, Xueyuan Road, Xili, Nanshan District, Shenzhen, Guangdong 518055, PR China
| | - Jiheong Kang
- Department of Materials Science and Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon 34141, Republic of Korea
| | - Daniil Karnaushenko
- Research Center for Materials, Architectures and Integration of Nanomembranes (MAIN), Chemnitz University of Technology, Chemnitz 09126, Germany
| | | | - Dae-Hyeong Kim
- Center for Nanoparticle Research, Institute for Basic Science (IBS), School of Chemical and Biological Engineering, Seoul National University, Seoul 08826, Republic of Korea
| | - Il-Doo Kim
- Department of Materials Science and Engineering, Korea Advanced Institute of Science and Technology (KAIST), 291 Daehak-ro, Yuseong-gu, Daejeon 34141, Republic of Korea
| | - Dmitry Kireev
- Department of Electrical and Computer Engineering, The University of Texas at Austin, Austin, Texas 78712, United States
- Microelectronics Research Center, The University of Texas at Austin, Austin, Texas 78758, United States
| | - Lingxuan Kong
- School of Chemistry, Chemical Engineering and Biotechnology, Nanyang Technological University, Singapore 637457, Singapore
| | - Chengkuo Lee
- Department of Electrical and Computer Engineering, National University of Singapore, Singapore 117583, Singapore
- Center for Intelligent Sensors and MEMS (CISM), National University of Singapore, Singapore 117608, Singapore
- National University of Singapore Suzhou Research Institute (NUSRI), Suzhou Industrial Park, Suzhou 215123, China
- NUS Graduate School-Integrative Sciences and Engineering Programme (ISEP), National University of Singapore, Singapore 119077, Singapore
| | - Nae-Eung Lee
- School of Advanced Materials Science and Engineering, Sungkyunkwan University, Suwon, Kyunggi-do 16419, Republic of Korea
| | - Pooi See Lee
- School of Materials Science and Engineering, Nanyang Technological University, Singapore 639798, Singapore
- Singapore-HUJ Alliance for Research and Enterprise (SHARE), Campus for Research Excellence and Technological Enterprise (CREATE), Singapore 138602, Singapore
| | - Tae-Woo Lee
- Department of Materials Science and Engineering, Seoul National University, Seoul 08826, Republic of Korea
- School of Chemical and Biological Engineering, Seoul National University, Seoul 08826, Republic of Korea
- Institute of Engineering Research, Research Institute of Advanced Materials, Seoul National University, Soft Foundry, Seoul 08826, Republic of Korea
- Interdisciplinary Program in Bioengineering, Seoul National University, Seoul 08826, Republic of Korea
| | - Fengyu Li
- College of Chemistry and Materials Science, Jinan University, Guangzhou, Guangdong 510632, China
| | - Jinxing Li
- Department of Biomedical Engineering, Department of Electrical and Computer Engineering, Neuroscience Program, BioMolecular Science Program, and Institute for Quantitative Health Science and Engineering, Michigan State University, East Lansing, Michigan 48823, United States
| | - Cuiyuan Liang
- School of Chemistry and Chemical Engineering, Harbin Institute of Technology, Harbin, Heilongjiang 150001, China
| | - Chwee Teck Lim
- Department of Biomedical Engineering, National University of Singapore, Singapore 117583, Singapore
- Mechanobiology Institute, National University of Singapore, Singapore 117411, Singapore
- Institute for Health Innovation and Technology, National University of Singapore, Singapore 119276, Singapore
| | - Yuanjing Lin
- School of Microelectronics, Southern University of Science and Technology, Shenzhen 518055, China
| | - Darren J Lipomi
- Department of Nano and Chemical Engineering, University of California, San Diego, La Jolla, California 92093-0448, United States
| | - Jia Liu
- John A. Paulson School of Engineering and Applied Sciences, Harvard University, Boston, Massachusetts, 02134, United States
| | - Kai Liu
- School of Chemistry and Chemical Engineering, Frontiers Science Center for Transformative Molecules, Shanghai Jiao Tong University, Shanghai 200240, PR China
| | - Nan Liu
- Beijing Key Laboratory of Energy Conversion and Storage Materials, College of Chemistry, Beijing Normal University, Beijing 100875, PR China
| | - Ren Liu
- John A. Paulson School of Engineering and Applied Sciences, Harvard University, Boston, Massachusetts, 02134, United States
| | - Yuxin Liu
- Institute of Materials Research and Engineering (IMRE), Agency for Science, Technology and Research (A*STAR), 2 Fusionopolis Way, #08-03 Innovis, Singapore 138634, Republic of Singapore
- Department of Biomedical Engineering, N.1 Institute for Health, Institute for Health Innovation and Technology (iHealthtech), National University of Singapore, Singapore 119077, Singapore
| | - Yuxuan Liu
- Department of Mechanical and Aerospace Engineering, North Carolina State University, Raleigh, North Carolina 27695, United States
| | - Zhiyuan Liu
- Neural Engineering Centre, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China 518055
| | - Zhuangjian Liu
- Institute of High Performance Computing (IHPC), Agency for Science, Technology and Research (A*STAR), 1 Fusionopolis Way, #16-16 Connexis, Singapore 138632, Republic of Singapore
| | - Xian Jun Loh
- Institute of Materials Research and Engineering (IMRE), Agency for Science, Technology and Research (A*STAR), 2 Fusionopolis Way, #08-03 Innovis, Singapore 138634, Republic of Singapore
| | - Nanshu Lu
- Department of Aerospace Engineering and Engineering Mechanics, Department of Electrical and Computer Engineering, Department of Mechanical Engineering, Department of Biomedical Engineering, Texas Materials Institute, The University of Texas at Austin, Austin, Texas 78712, United States
| | - Zhisheng Lv
- Institute of Materials Research and Engineering (IMRE), Agency for Science, Technology and Research (A*STAR), 2 Fusionopolis Way, #08-03 Innovis, Singapore 138634, Republic of Singapore
| | - Shlomo Magdassi
- Institute of Chemistry and the Center for Nanoscience and Nanotechnology, The Hebrew University of Jerusalem, Jerusalem 9190401, Israel
| | - George G Malliaras
- Electrical Engineering Division, Department of Engineering, University of Cambridge CB3 0FA, Cambridge United Kingdom
| | - Naoji Matsuhisa
- Institute of Industrial Science, The University of Tokyo, 4-6-1 Komaba, Meguro-ku, Tokyo 153-8505, Japan
| | - Arokia Nathan
- Darwin College, University of Cambridge, Cambridge CB3 9EU, United Kingdom
| | - Simiao Niu
- Department of Biomedical Engineering, Rutgers University, Piscataway, New Jersey 08854, United States
| | - Jieming Pan
- Department of Electrical and Computer Engineering, National University of Singapore, Singapore 117583, Singapore
| | - Changhyun Pang
- School of Chemical Engineering and Samsung Advanced Institute for Health Science and Technology, Sungkyunkwan University, Suwon 16419, Republic of Korea
| | - Qibing Pei
- Department of Materials Science and Engineering, Department of Mechanical and Aerospace Engineering, California NanoSystems Institute, University of California, Los Angeles, Los Angeles, California 90095, United States
| | - Huisheng Peng
- State Key Laboratory of Molecular Engineering of Polymers, Department of Macromolecular Science, and Laboratory of Advanced Materials, Fudan University, Shanghai 200438, PR China
| | - Dianpeng Qi
- School of Chemistry and Chemical Engineering, Harbin Institute of Technology, Harbin, Heilongjiang 150001, China
| | - Huaying Ren
- Department of Chemistry and Biochemistry, University of California, Los Angeles, Los Angeles, California, 90095, United States
| | - John A Rogers
- Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, Illinois 60208, United States
- Department of Materials Science and Engineering, Department of Mechanical Engineering, Department of Biomedical Engineering, Departments of Electrical and Computer Engineering and Chemistry, and Department of Neurological Surgery, Northwestern University, Evanston, Illinois 60208, United States
| | - Aaron Rowe
- Becton, Dickinson and Company, 1268 N. Lakeview Avenue, Anaheim, California 92807, United States
- Ready, Set, Food! 15821 Ventura Blvd #450, Encino, California 91436, United States
| | - Oliver G Schmidt
- Research Center for Materials, Architectures and Integration of Nanomembranes (MAIN), Chemnitz University of Technology, Chemnitz 09126, Germany
- Material Systems for Nanoelectronics, Chemnitz University of Technology, Chemnitz 09107, Germany
- Nanophysics, Faculty of Physics, TU Dresden, Dresden 01062, Germany
| | - Tsuyoshi Sekitani
- The Institute of Scientific and Industrial Research (SANKEN), Osaka University, Osaka, Japan 5670047
| | - Dae-Gyo Seo
- Department of Materials Science and Engineering, Seoul National University, Seoul 08826, Republic of Korea
| | - Guozhen Shen
- School of Integrated Circuits and Electronics, Beijing Institute of Technology, Beijing 100081, China
| | - Xing Sheng
- Department of Electronic Engineering, Beijing National Research Center for Information Science and Technology, Institute for Precision Medicine, Center for Flexible Electronics Technology, and IDG/McGovern Institute for Brain Research, Tsinghua University, Beijing, 100084, China
| | - Qiongfeng Shi
- Department of Electrical and Computer Engineering, National University of Singapore, Singapore 117583, Singapore
- Center for Intelligent Sensors and MEMS (CISM), National University of Singapore, Singapore 117608, Singapore
- National University of Singapore Suzhou Research Institute (NUSRI), Suzhou Industrial Park, Suzhou 215123, China
| | - Takao Someya
- Department of Electrical Engineering and Information Systems, Graduate School of Engineering, The University of Tokyo, Tokyo 113-8656, Japan
| | - Yanlin Song
- Key Laboratory of Green Printing, Institute of Chemistry, Chinese Academy of Sciences, Beijing, Beijing 100190, China
| | - Eleni Stavrinidou
- Laboratory of Organic Electronics, Department of Science and Technology, Linköping University, SE-601 74 Norrkoping, Sweden
| | - Meng Su
- Key Laboratory of Green Printing, Institute of Chemistry, Chinese Academy of Sciences, Beijing, Beijing 100190, China
| | - Xuemei Sun
- State Key Laboratory of Molecular Engineering of Polymers, Department of Macromolecular Science, and Laboratory of Advanced Materials, Fudan University, Shanghai 200438, PR China
| | - Kuniharu Takei
- Department of Physics and Electronics, Osaka Metropolitan University, Sakai, Osaka 599-8531, Japan
| | - Xiao-Ming Tao
- Research Institute for Intelligent Wearable Systems, School of Fashion and Textiles, Hong Kong Polytechnic University, Hong Kong, China
| | - Benjamin C K Tee
- Materials Science and Engineering, National University of Singapore, Singapore 117575, Singapore
- iHealthtech, National University of Singapore, Singapore 119276, Singapore
| | - Aaron Voon-Yew Thean
- Department of Electrical and Computer Engineering, National University of Singapore, Singapore 117583, Singapore
- Singapore Hybrid-Integrated Next-Generation μ-Electronics Centre (SHINE), Singapore 117583, Singapore
| | - Tran Quang Trung
- School of Advanced Materials Science and Engineering, Sungkyunkwan University, Suwon, Kyunggi-do 16419, Republic of Korea
| | - Changjin Wan
- School of Electronic Science and Engineering, Nanjing University, Nanjing 210023, China
| | - Huiliang Wang
- Department of Biomedical Engineering, University of Texas at Austin, Austin, Texas 78712, United States
| | - Joseph Wang
- Department of Nanoengineering, University of California, San Diego, California 92093, United States
| | - Ming Wang
- Frontier Institute of Chip and System, State Key Laboratory of Integrated Chip and Systems, Zhangjiang Fudan International Innovation Center, Fudan University, Shanghai, 200433, China
- the Shanghai Qi Zhi Institute, 41th Floor, AI Tower, No.701 Yunjin Road, Xuhui District, Shanghai 200232, China
| | - Sihong Wang
- Pritzker School of Molecular Engineering, The University of Chicago, Chicago, Illinois, 60637, United States
| | - Ting Wang
- State Key Laboratory of Organic Electronics and Information Displays and Jiangsu Key Laboratory for Biosensors, Institute of Advanced Materials (IAM), Nanjing University of Posts and Telecommunications, 9 Wenyuan Road, Nanjing 210023, China
| | - Zhong Lin Wang
- Beijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences, Beijing 100083, China
- Georgia Institute of Technology, Atlanta, Georgia 30332-0245, United States
| | - Paul S Weiss
- California NanoSystems Institute, Department of Chemistry and Biochemistry, Department of Bioengineering, and Department of Materials Science and Engineering, University of California, Los Angeles, Los Angeles, California 90095, United States
| | - Hanqi Wen
- School of Chemistry, Chemical Engineering and Biotechnology, Nanyang Technological University, Singapore 637457, Singapore
- Institute of Flexible Electronics Technology of THU, Jiaxing, Zhejiang, China 314000
| | - Sheng Xu
- Department of Nanoengineering, Department of Electrical and Computer Engineering, Materials Science and Engineering Program, and Department of Bioengineering, University of California San Diego, La Jolla, California, 92093, United States
| | - Tailin Xu
- School of Biomedical Engineering, Health Science Center, Shenzhen University, Shenzhen, Guangdong, 518060, PR China
| | - Hongping Yan
- Department of Chemical Engineering, Stanford University, Stanford, California 94305, United States
| | - Xuzhou Yan
- School of Chemistry and Chemical Engineering, Frontiers Science Center for Transformative Molecules, Shanghai Jiao Tong University, Shanghai 200240, PR China
| | - Hui Yang
- Tianjin Key Laboratory of Molecular Optoelectronic Sciences, Department of Chemistry, School of Science, Tianjin University, Tianjin, China, 300072
| | - Le Yang
- Institute of Materials Research and Engineering (IMRE), Agency for Science, Technology and Research (A*STAR), 2 Fusionopolis Way, #08-03 Innovis, Singapore 138634, Republic of Singapore
- Department of Materials Science and Engineering, National University of Singapore (NUS), 9 Engineering Drive 1, #03-09 EA, Singapore 117575, Singapore
| | - Shuaijian Yang
- School of Biomedical Sciences, Faculty of Biological Sciences, University of Leeds, Leeds, LS2 9JT, United Kingdom
| | - Lan Yin
- School of Materials Science and Engineering, The Key Laboratory of Advanced Materials of Ministry of Education, State Key Laboratory of New Ceramics and Fine Processing, and Center for Flexible Electronics Technology, Tsinghua University, Beijing, 100084, China
| | - Cunjiang Yu
- Department of Engineering Science and Mechanics, Department of Biomedical Engineering, Department of Material Science and Engineering, Materials Research Institute, Pennsylvania State University, University Park, Pennsylvania, 16802, United States
| | - Guihua Yu
- Materials Science and Engineering Program and Walker Department of Mechanical Engineering, The University of Texas at Austin, Austin, Texas, 78712, United States
| | - Jing Yu
- School of Materials Science and Engineering, Nanyang Technological University, Singapore 639798, Singapore
| | - Shu-Hong Yu
- Department of Chemistry, Institute of Biomimetic Materials and Chemistry, Hefei National Research Center for Physical Science at the Microscale, University of Science and Technology of China, Hefei 230026, China
| | - Xinge Yu
- Department of Biomedical Engineering, City University of Hong Kong, Hong Kong, China
| | - Evgeny Zamburg
- Department of Electrical and Computer Engineering, National University of Singapore, Singapore 117583, Singapore
- Singapore Hybrid-Integrated Next-Generation μ-Electronics Centre (SHINE), Singapore 117583, Singapore
| | - Haixia Zhang
- National Key Laboratory of Science and Technology on Micro/Nano Fabrication; Beijing Advanced Innovation Center for Integrated Circuits, School of Integrated Circuits, Peking University, Beijing 100871, China
| | - Xiangyu Zhang
- Department of Electrical and Computer Engineering, National University of Singapore, Singapore 117583, Singapore
- Singapore Hybrid-Integrated Next-Generation μ-Electronics Centre (SHINE), Singapore 117583, Singapore
| | - Xiaosheng Zhang
- School of Electronic Science and Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China
| | - Xueji Zhang
- School of Biomedical Engineering, Health Science Center, Shenzhen University, Shenzhen, Guangdong 518060, PR China
| | - Yihui Zhang
- Applied Mechanics Laboratory, Department of Engineering Mechanics; Laboratory of Flexible Electronics Technology, Tsinghua University, Beijing 100084, PR China
| | - Yu Zhang
- Department of Electrical and Computer Engineering, National University of Singapore, Singapore 117583, Singapore
- Singapore Hybrid-Integrated Next-Generation μ-Electronics Centre (SHINE), Singapore 117583, Singapore
| | - Siyuan Zhao
- John A. Paulson School of Engineering and Applied Sciences, Harvard University, Boston, Massachusetts, 02134, United States
| | - Xuanhe Zhao
- Department of Mechanical Engineering, Department of Civil and Environmental Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts, 02139, United States
| | - Yuanjin Zheng
- Center for Integrated Circuits and Systems, School of Electrical and Electronic Engineering, Nanyang Technological University, 50 Nanyang Avenue, Singapore 639798, Singapore
| | - Yu-Qing Zheng
- National Key Laboratory of Science and Technology on Micro/Nano Fabrication; School of Integrated Circuits, Peking University, Beijing 100871, China
| | - Zijian Zheng
- Department of Applied Biology and Chemical Technology, Faculty of Science, Research Institute for Intelligent Wearable Systems, Research Institute for Smart Energy, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong SAR, China
| | - Tao Zhou
- Center for Neural Engineering, Department of Engineering Science and Mechanics, The Huck Institutes of the Life Sciences, Materials Research Institute, The Pennsylvania State University, University Park, Pennsylvania 16802, United States
| | - Bowen Zhu
- Key Laboratory of 3D Micro/Nano Fabrication and Characterization of Zhejiang Province, School of Engineering, Westlake University, Hangzhou 310024, China
| | - Ming Zhu
- Institute for Digital Molecular Analytics and Science (IDMxS), Nanyang Technological University, 59 Nanyang Drive, Singapore 636921, Singapore
| | - Rong Zhu
- Department of Precision Instrument, Tsinghua University, Beijing 100084, China
| | - Yangzhi Zhu
- Terasaki Institute for Biomedical Innovation, Los Angeles, California, 90064, United States
| | - Yong Zhu
- Department of Mechanical and Aerospace Engineering, Department of Materials Science and Engineering, and Department of Biomedical Engineering, North Carolina State University, Raleigh, North Carolina 27695, United States
| | - Guijin Zou
- Institute of High Performance Computing (IHPC), Agency for Science, Technology and Research (A*STAR), 1 Fusionopolis Way, #16-16 Connexis, Singapore 138632, Republic of Singapore
| | - Xiaodong Chen
- Institute of Materials Research and Engineering (IMRE), Agency for Science, Technology and Research (A*STAR), 2 Fusionopolis Way, #08-03 Innovis, Singapore 138634, Republic of Singapore
- Innovative Center for Flexible Devices (iFLEX), Max Planck-NTU Joint Laboratory for Artificial Senses, School of Materials Science and Engineering, Nanyang Technological University, Singapore 639798, Singapore
| |
Collapse
|
17
|
Qiao Y, Luo J, Cui T, Liu H, Tang H, Zeng Y, Liu C, Li Y, Jian J, Wu J, Tian H, Yang Y, Ren TL, Zhou J. Soft Electronics for Health Monitoring Assisted by Machine Learning. NANO-MICRO LETTERS 2023; 15:66. [PMID: 36918452 PMCID: PMC10014415 DOI: 10.1007/s40820-023-01029-1] [Citation(s) in RCA: 14] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/22/2022] [Accepted: 01/05/2023] [Indexed: 06/18/2023]
Abstract
Due to the development of the novel materials, the past two decades have witnessed the rapid advances of soft electronics. The soft electronics have huge potential in the physical sign monitoring and health care. One of the important advantages of soft electronics is forming good interface with skin, which can increase the user scale and improve the signal quality. Therefore, it is easy to build the specific dataset, which is important to improve the performance of machine learning algorithm. At the same time, with the assistance of machine learning algorithm, the soft electronics have become more and more intelligent to realize real-time analysis and diagnosis. The soft electronics and machining learning algorithms complement each other very well. It is indubitable that the soft electronics will bring us to a healthier and more intelligent world in the near future. Therefore, in this review, we will give a careful introduction about the new soft material, physiological signal detected by soft devices, and the soft devices assisted by machine learning algorithm. Some soft materials will be discussed such as two-dimensional material, carbon nanotube, nanowire, nanomesh, and hydrogel. Then, soft sensors will be discussed according to the physiological signal types (pulse, respiration, human motion, intraocular pressure, phonation, etc.). After that, the soft electronics assisted by various algorithms will be reviewed, including some classical algorithms and powerful neural network algorithms. Especially, the soft device assisted by neural network will be introduced carefully. Finally, the outlook, challenge, and conclusion of soft system powered by machine learning algorithm will be discussed.
Collapse
Affiliation(s)
- Yancong Qiao
- School of Biomedical Engineering, Shenzhen Campus of Sun Yat-sen University, No. 66, Gongchang Road, Guangming District, Shenzhen, 518107, People's Republic of China.
- Key Laboratory of Sensing Technology and Biomedical Instruments of Guangdong Province, School of Biomedical Engineering, Sun Yat-sen University, Guangzhou, 510275, People's Republic of China.
| | - Jinan Luo
- School of Biomedical Engineering, Shenzhen Campus of Sun Yat-sen University, No. 66, Gongchang Road, Guangming District, Shenzhen, 518107, People's Republic of China
- Key Laboratory of Sensing Technology and Biomedical Instruments of Guangdong Province, School of Biomedical Engineering, Sun Yat-sen University, Guangzhou, 510275, People's Republic of China
| | - Tianrui Cui
- School of Integrated Circuits and Beijing National Research Center for Information Science and Technology (BNRist), Tsinghua University, Beijing, 100084, People's Republic of China
| | - Haidong Liu
- School of Biomedical Engineering, Shenzhen Campus of Sun Yat-sen University, No. 66, Gongchang Road, Guangming District, Shenzhen, 518107, People's Republic of China
- Key Laboratory of Sensing Technology and Biomedical Instruments of Guangdong Province, School of Biomedical Engineering, Sun Yat-sen University, Guangzhou, 510275, People's Republic of China
| | - Hao Tang
- School of Biomedical Engineering, Shenzhen Campus of Sun Yat-sen University, No. 66, Gongchang Road, Guangming District, Shenzhen, 518107, People's Republic of China
- Key Laboratory of Sensing Technology and Biomedical Instruments of Guangdong Province, School of Biomedical Engineering, Sun Yat-sen University, Guangzhou, 510275, People's Republic of China
| | - Yingfen Zeng
- School of Integrated Circuits and Beijing National Research Center for Information Science and Technology (BNRist), Tsinghua University, Beijing, 100084, People's Republic of China
| | - Chang Liu
- School of Biomedical Engineering, Shenzhen Campus of Sun Yat-sen University, No. 66, Gongchang Road, Guangming District, Shenzhen, 518107, People's Republic of China
- Key Laboratory of Sensing Technology and Biomedical Instruments of Guangdong Province, School of Biomedical Engineering, Sun Yat-sen University, Guangzhou, 510275, People's Republic of China
| | - Yuanfang Li
- School of Biomedical Engineering, Shenzhen Campus of Sun Yat-sen University, No. 66, Gongchang Road, Guangming District, Shenzhen, 518107, People's Republic of China
- Key Laboratory of Sensing Technology and Biomedical Instruments of Guangdong Province, School of Biomedical Engineering, Sun Yat-sen University, Guangzhou, 510275, People's Republic of China
| | - Jinming Jian
- School of Integrated Circuits and Beijing National Research Center for Information Science and Technology (BNRist), Tsinghua University, Beijing, 100084, People's Republic of China
| | - Jingzhi Wu
- School of Biomedical Engineering, Shenzhen Campus of Sun Yat-sen University, No. 66, Gongchang Road, Guangming District, Shenzhen, 518107, People's Republic of China
- Key Laboratory of Sensing Technology and Biomedical Instruments of Guangdong Province, School of Biomedical Engineering, Sun Yat-sen University, Guangzhou, 510275, People's Republic of China
| | - He Tian
- School of Integrated Circuits and Beijing National Research Center for Information Science and Technology (BNRist), Tsinghua University, Beijing, 100084, People's Republic of China
| | - Yi Yang
- School of Integrated Circuits and Beijing National Research Center for Information Science and Technology (BNRist), Tsinghua University, Beijing, 100084, People's Republic of China
| | - Tian-Ling Ren
- School of Integrated Circuits and Beijing National Research Center for Information Science and Technology (BNRist), Tsinghua University, Beijing, 100084, People's Republic of China.
| | - Jianhua Zhou
- School of Biomedical Engineering, Shenzhen Campus of Sun Yat-sen University, No. 66, Gongchang Road, Guangming District, Shenzhen, 518107, People's Republic of China.
- Key Laboratory of Sensing Technology and Biomedical Instruments of Guangdong Province, School of Biomedical Engineering, Sun Yat-sen University, Guangzhou, 510275, People's Republic of China.
| |
Collapse
|
18
|
He Y, Wei L, Xu W, Wu H, Liu A. Laser-Cutted Epidermal Microfluidic Patch with Capillary Bursting Valves for Chronological Capture, Storage, and Colorimetric Sensing of Sweat. BIOSENSORS 2023; 13:372. [PMID: 36979585 PMCID: PMC10046219 DOI: 10.3390/bios13030372] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 02/13/2023] [Revised: 03/08/2023] [Accepted: 03/09/2023] [Indexed: 06/18/2023]
Abstract
Flexible wearable microfluidic devices show great feasibility and potential development in the collection and analysis of sweat due to their convenience and non-invasive characteristics in health-level feedback and disease prediction. However, the traditional production process of microfluidic patches relies on resource-intensive laboratory and high-cost facilities. In this paper, a low-cost laser-cutting technology is proposed to fabricate epidermal microfluidic patches for the collection, storage and colorimetric analysis of sweat. Two different types of capillary bursting valves are designed and integrated into microchannel layers to produce two-stage bursting pressure for the reliable routing of sweat into microreservoirs in sequential fashion, avoiding the mixing of old and new sweat. Additionally, an enzyme-based reagent is embedded into the microreservoirs to quantify the glucose level in sweat by using colorimetric methods, demonstrating a high detection sensitivity at the glucose concentration from 0.1 mM to 1 mM in sweat and an excellent anti-interference performance that prevents interference from substances probably existent in sweat. In vitro and on-body experiments demonstrate the validity of the low-cost, laser-cut epidermal microfluidic patch for the chronological analysis of sweat glucose concentration and its potential application in the monitoring of human physiological information.
Collapse
Affiliation(s)
- Yuxin He
- Key Laboratory of Optical Field Manipulation of Zhejiang Province, Zhejiang Sci-Tech University, Hangzhou 310018, China
| | - Lei Wei
- Key Laboratory of Optical Field Manipulation of Zhejiang Province, Zhejiang Sci-Tech University, Hangzhou 310018, China
- School of Physics and Electronics Engineering, Fuyang Normal University, Fuyang 236037, China
| | - Wenjie Xu
- Key Laboratory of Optical Field Manipulation of Zhejiang Province, Zhejiang Sci-Tech University, Hangzhou 310018, China
| | - Huaping Wu
- Key Laboratory of Special Purpose Equipment and Advanced Processing Technology, Ministry of Education and Zhejiang Province, College of Mechanical Engineering, Zhejiang University of Technology, Hangzhou 310023, China
| | - Aiping Liu
- Key Laboratory of Optical Field Manipulation of Zhejiang Province, Zhejiang Sci-Tech University, Hangzhou 310018, China
| |
Collapse
|
19
|
Kashaninejad N, Nguyen NT. Microfluidic solutions for biofluids handling in on-skin wearable systems. LAB ON A CHIP 2023; 23:913-937. [PMID: 36628970 DOI: 10.1039/d2lc00993e] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/17/2023]
Abstract
On-skin wearable systems for biofluid sampling and biomarker sensing can revolutionize the current practices in healthcare monitoring and personalized medicine. However, there is still a long path toward complete market adoption and acceptance of this fascinating technology. Accordingly, microfluidic science and technology can provide excellent solutions for bridging the gap between basic research and clinical research. The research gap has led to the emerging field of epidermal microfluidics. Moreover, recent advances in the fabrication of highly flexible and stretchable microfluidic systems have revived the concept of micro elastofluidics, which can provide viable solutions for on-skin wearable biofluid handling. In this context, this review highlights the current state-of-the-art platforms in this field and discusses the potential technologies that can be used for on-skin wearable devices. Toward this aim, we first compare various microfluidic platforms that could be used for on-skin wearable devices. These platforms include semiconductor-based, polymer-based, liquid metal-based, paper-based, and textile-based microfluidics. Next, we discuss how these platforms can enhance the stretchability of on-skin wearable biosensors at the device level. Next, potential microfluidic solutions for collecting, transporting, and controlling the biofluids are discussed. The application of finger-powered micropumps as a viable solution for precise and on-demand biofluid pumping is highlighted. Finally, we present the future directions of this field by emphasizing the applications of droplet-based microfluidics, stretchable continuous-flow micro elastofluidics, stretchable superhydrophobic surfaces, liquid beads as a form of digital micro elastofluidics, and topological liquid diodes that received less attention but have enormous potential to be integrated into on-skin wearable devices.
Collapse
Affiliation(s)
- Navid Kashaninejad
- Queensland Micro- and Nanotechnology Centre, Griffith University, 170 Kessels Road, Nathan, QLD 4111, Australia.
| | - Nam-Trung Nguyen
- Queensland Micro- and Nanotechnology Centre, Griffith University, 170 Kessels Road, Nathan, QLD 4111, Australia.
| |
Collapse
|
20
|
Abstract
Flexible sweat sensors have found widespread potential applications for long-term wear and tracking and real-time monitoring of human health. However, the main substrate currently used in common flexible sweat sensors is thin film, which has disadvantages such as poor air permeability and the need for additional wearables. In this Review, the recent progress of sweat sensors has been systematically summarized by the types of monitoring methods of sweat sensors. In addition, this Review introduces and compares the performance of sweat sensors based on thin film and textile substrates such as fiber/yarn. Finally, opportunities and suggestions for the development of flexible sweat sensors are presented by summarizing the integration methods of sensors and human body monitoring sites.
Collapse
Affiliation(s)
- Dan Luo
- School of Textile Science and Engineering, Tiangong University, Tianjin 300387, P. R. China.,Institute of Smart Wearable Electronic Textiles, Tiangong University, Tianjin 300387, P. R. China
| | - Haibo Sun
- School of Textile Science and Engineering, Tiangong University, Tianjin 300387, P. R. China.,Institute of Smart Wearable Electronic Textiles, Tiangong University, Tianjin 300387, P. R. China
| | - Qianqian Li
- School of Textile Science and Engineering, Tiangong University, Tianjin 300387, P. R. China.,Institute of Smart Wearable Electronic Textiles, Tiangong University, Tianjin 300387, P. R. China
| | - Xin Niu
- School of Textile Science and Engineering, Tiangong University, Tianjin 300387, P. R. China.,Institute of Smart Wearable Electronic Textiles, Tiangong University, Tianjin 300387, P. R. China
| | - Yin He
- School of Textile Science and Engineering, Tiangong University, Tianjin 300387, P. R. China.,Institute of Smart Wearable Electronic Textiles, Tiangong University, Tianjin 300387, P. R. China
| | - Hao Liu
- School of Textile Science and Engineering, Tiangong University, Tianjin 300387, P. R. China.,Institute of Smart Wearable Electronic Textiles, Tiangong University, Tianjin 300387, P. R. China
| |
Collapse
|
21
|
Wang H, Li S, Lu H, Zhu M, Liang H, Wu X, Zhang Y. Carbon-Based Flexible Devices for Comprehensive Health Monitoring. SMALL METHODS 2023; 7:e2201340. [PMID: 36617527 DOI: 10.1002/smtd.202201340] [Citation(s) in RCA: 13] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/17/2022] [Revised: 12/16/2022] [Indexed: 06/17/2023]
Abstract
Traditional public health systems suffer from incomprehensive, delayed, and inefficient medical services. Convenient and comprehensive health monitoring has been highly sought after recently. Flexible and wearable devices are attracting wide attention due to their potential applications in wearable human health monitoring and care systems. Using carbon materials with overall superiorities can facilitate the development of wearable and flexible devices with various functions and excellent performance, which can comprehensively and real-time monitor human health status and prevent diseases. Herein, the latest advances in the rational design and controlled fabrication of carbon materials for applications in health-related flexible and wearable electronics are reviewed. The fabrication strategies, working mechanism, performance, and applications in health monitoring of carbon-based flexible devices, including electromechanical sensors, temperature/humidity sensors, chemical sensors, and flexible conductive wires/electrodes, are reviewed. Furthermore, integrating multiple carbon-based devices into multifunctional wearable systems is discussed. Finally, the existing challenges and future opportunities in this field are also proposed.
Collapse
Affiliation(s)
- Haomin Wang
- Key Laboratory of Organic Optoelectronics and Molecular Engineering of the Ministry of Education, Department of Chemistry, Tsinghua University, Beijing, 100084, P. R. China
| | - Shuo Li
- Key Laboratory of Organic Optoelectronics and Molecular Engineering of the Ministry of Education, Department of Chemistry, Tsinghua University, Beijing, 100084, P. R. China
| | - Haojie Lu
- Key Laboratory of Organic Optoelectronics and Molecular Engineering of the Ministry of Education, Department of Chemistry, Tsinghua University, Beijing, 100084, P. R. China
| | - Mengjia Zhu
- Key Laboratory of Organic Optoelectronics and Molecular Engineering of the Ministry of Education, Department of Chemistry, Tsinghua University, Beijing, 100084, P. R. China
| | - Huarun Liang
- Key Laboratory of Organic Optoelectronics and Molecular Engineering of the Ministry of Education, Department of Chemistry, Tsinghua University, Beijing, 100084, P. R. China
| | - Xunen Wu
- Key Laboratory of Organic Optoelectronics and Molecular Engineering of the Ministry of Education, Department of Chemistry, Tsinghua University, Beijing, 100084, P. R. China
| | - Yingying Zhang
- Key Laboratory of Organic Optoelectronics and Molecular Engineering of the Ministry of Education, Department of Chemistry, Tsinghua University, Beijing, 100084, P. R. China
| |
Collapse
|
22
|
Tian Y, Xu G, Cai K, Zhao X, Zhang B, Wang L, Wang T. Emerging biotransduction strategies on soft interfaces for biosensing. NANOSCALE 2022; 15:80-91. [PMID: 36512329 DOI: 10.1039/d2nr05444b] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/17/2023]
Abstract
As a lab-on-soft biochip providing accurate and timely biomarker information, wearable biosensors can satisfy the increasing demand for intelligent e-health services, active disease diagnosis/therapy, and huge bioinformation data. As biomolecules generally could not directly produce detectable signals, biotransducers that specifically convert biomolecules to electrical or optical signals are involved, which determines the pivotal sensing performance including 3S (sensitivity, selectivity, and stability), reversibility, etc. The soft interface poses new requirements for biotransducers, especially equipment-free, facile operation, mechanical tolerance, and high sensing performance. In this review, we discussed the emerging electrochemical and optical biotransduction strategies on wearables from the aspects of the transduction mechanism, amplification strategies, biomaterial selection, and device fabrication procedures. Challenges and perspectives regarding future biotransducers for monitoring trace amounts of biomolecules with high fidelity, sensitivity, and multifunctionality are also discussed. It is expected that through fusion with functional electronics, wearable biosensors can provide possibilities to further decentralize the healthcare system and even build biomolecule-based intelligent cyber-physical systems and new modalities of cyborgs.
Collapse
Affiliation(s)
- Yuanyuan Tian
- Key Laboratory for Organic Electronics and Information Displays & Jiangsu Key Laboratory for Biosensors, Institute of Advanced Materials (IAM), National Jiangsu Synergetic Innovation Center for Advanced Materials (SICAM), Nanjing University of Posts and Telecommunications, 9 Wenyuan Road, Nanjing 210023, China.
- School of Science, Nanjing University of Posts and Telecommunications, Nanjing, 210023, China
| | - Guoliang Xu
- Key Laboratory for Organic Electronics and Information Displays & Jiangsu Key Laboratory for Biosensors, Institute of Advanced Materials (IAM), National Jiangsu Synergetic Innovation Center for Advanced Materials (SICAM), Nanjing University of Posts and Telecommunications, 9 Wenyuan Road, Nanjing 210023, China.
| | - Kaiyu Cai
- Key Laboratory for Organic Electronics and Information Displays & Jiangsu Key Laboratory for Biosensors, Institute of Advanced Materials (IAM), National Jiangsu Synergetic Innovation Center for Advanced Materials (SICAM), Nanjing University of Posts and Telecommunications, 9 Wenyuan Road, Nanjing 210023, China.
| | - Xiao Zhao
- Key Laboratory for Organic Electronics and Information Displays & Jiangsu Key Laboratory for Biosensors, Institute of Advanced Materials (IAM), National Jiangsu Synergetic Innovation Center for Advanced Materials (SICAM), Nanjing University of Posts and Telecommunications, 9 Wenyuan Road, Nanjing 210023, China.
| | - Bo Zhang
- Key Laboratory for Organic Electronics and Information Displays & Jiangsu Key Laboratory for Biosensors, Institute of Advanced Materials (IAM), National Jiangsu Synergetic Innovation Center for Advanced Materials (SICAM), Nanjing University of Posts and Telecommunications, 9 Wenyuan Road, Nanjing 210023, China.
- School of Science, Nanjing University of Posts and Telecommunications, Nanjing, 210023, China
| | - Lianhui Wang
- Key Laboratory for Organic Electronics and Information Displays & Jiangsu Key Laboratory for Biosensors, Institute of Advanced Materials (IAM), National Jiangsu Synergetic Innovation Center for Advanced Materials (SICAM), Nanjing University of Posts and Telecommunications, 9 Wenyuan Road, Nanjing 210023, China.
| | - Ting Wang
- Key Laboratory for Organic Electronics and Information Displays & Jiangsu Key Laboratory for Biosensors, Institute of Advanced Materials (IAM), National Jiangsu Synergetic Innovation Center for Advanced Materials (SICAM), Nanjing University of Posts and Telecommunications, 9 Wenyuan Road, Nanjing 210023, China.
| |
Collapse
|
23
|
Kim S, Park S, Choi J, Hwang W, Kim S, Choi IS, Yi H, Kwak R. An epifluidic electronic patch with spiking sweat clearance for event-driven perspiration monitoring. Nat Commun 2022; 13:6705. [PMID: 36344563 PMCID: PMC9640696 DOI: 10.1038/s41467-022-34442-y] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2022] [Accepted: 10/26/2022] [Indexed: 11/09/2022] Open
Abstract
Sensory neurons generate spike patterns upon receiving external stimuli and encode key information to the spike patterns, enabling energy-efficient external information processing. Herein, we report an epifluidic electronic patch with spiking sweat clearance using a sensor containing a vertical sweat-collecting channel for event-driven, energy-efficient, long-term wireless monitoring of epidermal perspiration dynamics. Our sweat sensor contains nanomesh electrodes on its inner wall of the channel and unique sweat-clearing structures. During perspiration, repeated filling and abrupt emptying of the vertical sweat-collecting channel generate electrical spike patterns with the sweat rate and ionic conductivity proportional to the spike frequency and amplitude over a wide dynamic range and long time (> 8 h). With such 'spiking' sweat clearance and corresponding electronic spike patterns, the epifluidic wireless patch successfully decodes epidermal perspiration dynamics in an event-driven manner at different skin locations during exercise, consuming less than 0.6% of the energy required for continuous data transmission. Our patch could integrate various on-skin sensors and emerging edge computing technologies for energy-efficient, intelligent digital healthcare.
Collapse
Affiliation(s)
- Sangha Kim
- grid.49606.3d0000 0001 1364 9317Department of Mechanical Convergence Engineering, Hanyang University, Seoul, 04763 Republic of Korea
| | - Seongjin Park
- grid.35541.360000000121053345Post-Silicon Semiconductor Institute, Korea Institute of Science and Technology, Seoul, 02792 Republic of Korea
| | - Jina Choi
- grid.49606.3d0000 0001 1364 9317Department of Mechanical Convergence Engineering, Hanyang University, Seoul, 04763 Republic of Korea
| | - Wonseop Hwang
- grid.35541.360000000121053345Post-Silicon Semiconductor Institute, Korea Institute of Science and Technology, Seoul, 02792 Republic of Korea
| | - Sunho Kim
- grid.35541.360000000121053345Post-Silicon Semiconductor Institute, Korea Institute of Science and Technology, Seoul, 02792 Republic of Korea
| | - In-Suk Choi
- grid.31501.360000 0004 0470 5905Department of Materials Science and Engineering, Seoul National University, Seoul, 08826 Republic of Korea
| | - Hyunjung Yi
- grid.35541.360000000121053345Post-Silicon Semiconductor Institute, Korea Institute of Science and Technology, Seoul, 02792 Republic of Korea ,grid.15444.300000 0004 0470 5454Department of Materials Science and Engineering, YU-KIST Institute, Yonsei University, Seoul, 03722 Republic of Korea
| | - Rhokyun Kwak
- grid.49606.3d0000 0001 1364 9317Department of Mechanical Convergence Engineering, Hanyang University, Seoul, 04763 Republic of Korea ,grid.49606.3d0000 0001 1364 9317Institute of Nano Science and Technology, Hanyang University, Seoul, 04763 Republic of Korea
| |
Collapse
|
24
|
Mishra N, Garland NT, Hewett KA, Shamsi M, Dickey MD, Bandodkar AJ. A Soft Wearable Microfluidic Patch with Finger-Actuated Pumps and Valves for On-Demand, Longitudinal, and Multianalyte Sweat Sensing. ACS Sens 2022; 7:3169-3180. [PMID: 36250738 DOI: 10.1021/acssensors.2c01669] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/31/2023]
Abstract
Easy sample collection, physiological relevance, and ability to noninvasively and longitudinally monitor the human body are some of the key attributes of wearable sweat sensors. Examples typically include reversible sensors or an array of single-use sensors embedded in specialized microfluidics for temporal analysis of sweat. However, evolving this field to a level that truly represents "lab-on-skin" technology will require the incorporation of advanced functionalities that give the user the freedom to (1) choose the precise time for performing sample analysis and (2) select sensors from an array embedded within the device for performing condition-specific sample analysis. Here, we introduce new concepts in wearable microfluidic platforms that offer such capabilities. The described technology involves a series of finger-actuated pumps, valves, and sensors incorporated within soft, wearable microfluidics. The incoming sweat collects in the inlet chamber and can be analyzed by the user at the time of their choosing. On-demand sweat analyte assessment is achieved by pulling a thin tab to activate a pump which opens a valve and allows the pooled sweat to enter a chamber embedded with sensors for the desired analytes. The article describes a thorough characterization of the platform that demonstrates the robustness of the pumping, valving, and sensing aspects of the device under conditions mimicking real-life scenarios. A two-day-long human pilot study validates the system and illustrates the device's ability to offer on-demand, longitudinal, and multianalyte sensing. Our work represents the first example of a wearable system with such on-demand sensing capabilities and opens exciting avenues in sweat sensing for acquiring new insights into human physiology.
Collapse
Affiliation(s)
- Navya Mishra
- Department of Electrical and Computer Engineering, North Carolina State University, Raleigh, North Carolina 27606, United States.,Center for Advanced Self-Powered Systems of Integrated Sensors and Technologies (ASSIST), North Carolina State University, Raleigh, North Carolina 27606, United States
| | - Nate T Garland
- Department of Electrical and Computer Engineering, North Carolina State University, Raleigh, North Carolina 27606, United States.,Center for Advanced Self-Powered Systems of Integrated Sensors and Technologies (ASSIST), North Carolina State University, Raleigh, North Carolina 27606, United States
| | - Krystyn A Hewett
- Center for Advanced Self-Powered Systems of Integrated Sensors and Technologies (ASSIST), North Carolina State University, Raleigh, North Carolina 27606, United States.,Department of Materials Science and Engineering, North Carolina State University, Raleigh, North Carolina 27606, United States
| | - Mohammad Shamsi
- Department of Chemical and Biomolecular Engineering, North Carolina State University, Raleigh, North Carolina 27606, United States
| | - Michael D Dickey
- Department of Chemical and Biomolecular Engineering, North Carolina State University, Raleigh, North Carolina 27606, United States
| | - Amay J Bandodkar
- Department of Electrical and Computer Engineering, North Carolina State University, Raleigh, North Carolina 27606, United States.,Center for Advanced Self-Powered Systems of Integrated Sensors and Technologies (ASSIST), North Carolina State University, Raleigh, North Carolina 27606, United States
| |
Collapse
|
25
|
Ibrahim NFA, Sabani N, Johari S, Manaf AA, Wahab AA, Zakaria Z, Noor AM. A Comprehensive Review of the Recent Developments in Wearable Sweat-Sensing Devices. SENSORS (BASEL, SWITZERLAND) 2022; 22:7670. [PMID: 36236769 PMCID: PMC9573257 DOI: 10.3390/s22197670] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 08/23/2022] [Revised: 09/26/2022] [Accepted: 10/02/2022] [Indexed: 06/16/2023]
Abstract
Sweat analysis offers non-invasive real-time on-body measurement for wearable sensors. However, there are still gaps in current developed sweat-sensing devices (SSDs) regarding the concerns of mixing fresh and old sweat and real-time measurement, which are the requirements to ensure accurate the measurement of wearable devices. This review paper discusses these limitations by aiding model designs, features, performance, and the device operation for exploring the SSDs used in different sweat collection tools, focusing on continuous and non-continuous flow sweat analysis. In addition, the paper also comprehensively presents various sweat biomarkers that have been explored by earlier works in order to broaden the use of non-invasive sweat samples in healthcare and related applications. This work also discusses the target analyte's response mechanism for different sweat compositions, categories of sweat collection devices, and recent advances in SSDs regarding optimal design, functionality, and performance.
Collapse
Affiliation(s)
- Nur Fatin Adini Ibrahim
- Faculty of Electronic Engineering & Technology, Universiti Malaysia Perlis, Arau 02600, Malaysia
| | - Norhayati Sabani
- Faculty of Electronic Engineering & Technology, Universiti Malaysia Perlis, Arau 02600, Malaysia
- Center of Excellance Micro System Technology, Universiti Malaysia Perlis, Arau 02600, Malaysia
| | - Shazlina Johari
- Faculty of Electronic Engineering & Technology, Universiti Malaysia Perlis, Arau 02600, Malaysia
- Center of Excellance Micro System Technology, Universiti Malaysia Perlis, Arau 02600, Malaysia
| | - Asrulnizam Abd Manaf
- Collaborative Microelectronic Design Excellence Centre, Universiti Sains Malaysia, Gelugor 11800, Malaysia
| | - Asnida Abdul Wahab
- Department of Biomedical Engineering and Health Sciences, Universiti Teknologi Malaysia, Johor Bahru 81310, Malaysia
| | - Zulkarnay Zakaria
- Faculty of Electronic Engineering & Technology, Universiti Malaysia Perlis, Arau 02600, Malaysia
- Sports Engineering Research Center, Universiti Malaysia Perlis, Arau 02600, Malaysia
| | - Anas Mohd Noor
- Faculty of Electronic Engineering & Technology, Universiti Malaysia Perlis, Arau 02600, Malaysia
- Center of Excellance Micro System Technology, Universiti Malaysia Perlis, Arau 02600, Malaysia
| |
Collapse
|
26
|
Khosla NK, Lesinski JM, Colombo M, Bezinge L, deMello AJ, Richards DA. Simplifying the complex: accessible microfluidic solutions for contemporary processes within in vitro diagnostics. LAB ON A CHIP 2022; 22:3340-3360. [PMID: 35984715 PMCID: PMC9469643 DOI: 10.1039/d2lc00609j] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/06/2022] [Accepted: 08/15/2022] [Indexed: 05/02/2023]
Abstract
In vitro diagnostics (IVDs) form the cornerstone of modern medicine. They are routinely employed throughout the entire treatment pathway, from initial diagnosis through to prognosis, treatment planning, and post-treatment surveillance. Given the proven links between high quality diagnostic testing and overall health, ensuring broad access to IVDs has long been a focus of both researchers and medical professionals. Unfortunately, the current diagnostic paradigm relies heavily on centralized laboratories, complex and expensive equipment, and highly trained personnel. It is commonly assumed that this level of complexity is required to achieve the performance necessary for sensitive and specific disease diagnosis, and that making something affordable and accessible entails significant compromises in test performance. However, recent work in the field of microfluidics is challenging this notion. By exploiting the unique features of microfluidic systems, researchers have been able to create progressively simple devices that can perform increasingly complex diagnostic assays. This review details how microfluidic technologies are disrupting the status quo, and facilitating the development of simple, affordable, and accessible integrated IVDs. Importantly, we discuss the advantages and limitations of various approaches, and highlight the remaining challenges within the field.
Collapse
Affiliation(s)
- Nathan K Khosla
- Institute for Chemical and Bioengineering, ETH Zürich, Vladimir Prelog Weg 1, Zürich, 8093, Switzerland.
| | - Jake M Lesinski
- Institute for Chemical and Bioengineering, ETH Zürich, Vladimir Prelog Weg 1, Zürich, 8093, Switzerland.
| | - Monika Colombo
- Institute for Chemical and Bioengineering, ETH Zürich, Vladimir Prelog Weg 1, Zürich, 8093, Switzerland.
| | - Léonard Bezinge
- Institute for Chemical and Bioengineering, ETH Zürich, Vladimir Prelog Weg 1, Zürich, 8093, Switzerland.
| | - Andrew J deMello
- Institute for Chemical and Bioengineering, ETH Zürich, Vladimir Prelog Weg 1, Zürich, 8093, Switzerland.
| | - Daniel A Richards
- Institute for Chemical and Bioengineering, ETH Zürich, Vladimir Prelog Weg 1, Zürich, 8093, Switzerland.
| |
Collapse
|
27
|
Yeung KK, Li J, Huang T, Hosseini II, Al Mahdi R, Alam MM, Sun H, Mahshid S, Yang J, Ye TT, Gao Z. Utilizing Gradient Porous Graphene Substrate as the Solid-Contact Layer To Enhance Wearable Electrochemical Sweat Sensor Sensitivity. NANO LETTERS 2022; 22:6647-6654. [PMID: 35943807 DOI: 10.1021/acs.nanolett.2c01969] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
Wearable sweat monitoring represents an attractive opportunity for personalized healthcare and for evaluating sports performance. One of the limitations with such monitoring, however, is water layer formation upon cycling of ion-selective sensors, leading to degraded sensitivity and long-term instability. Our report is the first to use chemical vapor deposition-grown, three-dimensional, graphene-based, gradient porous electrodes to minimize such water layer formation. The proposed design reduces the ion diffusion path within the polymeric ion-selective membrane and enhances the electroactive surface for highly sensitive, real-time detection of Na+ ions in human sweat with high selectivity. We obtained a 7-fold enhancement in electroactive surface against 2D electrodes (e.g., carbon, gold), yielding a sensitivity of 65.1 ± 0.25 mV decade-1 (n = 3, RSD = 0.39%), the highest to date for wearable Na+ sweat sensors. The on-body sweat sensing performance is comparable to that of ICP-MS, suggesting its feasibility for health evaluation through sweat.
Collapse
Affiliation(s)
- Kan Kan Yeung
- Biomedical Engineering Department, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong 999077, China
- Shenzhen Research Institute, The Chinese University of Hong Kong, Shenzhen 518057, China
| | - Jingwei Li
- Biomedical Engineering Department, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong 999077, China
- Department of Chemical and Biological Engineering, The Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong 999077, China
| | - Ting Huang
- Biomedical Engineering Department, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong 999077, China
| | - Imman I Hosseini
- Department of Bioengineering, McGill University, Montreal, Quebec H3A 0E9, Canada
| | - Rakib Al Mahdi
- Department of Biomedical Engineering, The University of Hong Kong, Pokfulam, Hong Kong 999077, China
| | - Md Masruck Alam
- Biomedical Engineering Department, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong 999077, China
| | - Honglin Sun
- Biomedical Engineering Department, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong 999077, China
| | - Sara Mahshid
- Department of Bioengineering, McGill University, Montreal, Quebec H3A 0E9, Canada
| | - Jian Yang
- Faculty of Intelligent Manufacturing, Wuyi University, Jiangmen 529020, China
| | - Terry Tao Ye
- Department of Electrical and Electronic Engineering, Southern University of Science and Technology, Shenzhen 518055, China
| | - Zhaoli Gao
- Biomedical Engineering Department, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong 999077, China
- Shenzhen Research Institute, The Chinese University of Hong Kong, Shenzhen 518057, China
| |
Collapse
|
28
|
Liu L, Zhang X. A Focused Review on the Flexible Wearable Sensors for Sports: From Kinematics to Physiologies. MICROMACHINES 2022; 13:mi13081356. [PMID: 36014277 PMCID: PMC9412724 DOI: 10.3390/mi13081356] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/10/2022] [Revised: 08/15/2022] [Accepted: 08/16/2022] [Indexed: 05/15/2023]
Abstract
As an important branch of wearable electronics, highly flexible and wearable sensors are gaining huge attention due to their emerging applications. In recent years, the participation of wearable devices in sports has revolutionized the way to capture the kinematical and physiological status of athletes. This review focuses on the rapid development of flexible and wearable sensor technologies for sports. We identify and discuss the indicators that reveal the performance and physical condition of players. The kinematical indicators are mentioned according to the relevant body parts, and the physiological indicators are classified into vital signs and metabolisms. Additionally, the available wearable devices and their significant applications in monitoring these kinematical and physiological parameters are described with emphasis. The potential challenges and prospects for the future developments of wearable sensors in sports are discussed comprehensively. This review paper will assist both athletic individuals and researchers to have a comprehensive glimpse of the wearable techniques applied in different sports.
Collapse
Affiliation(s)
- Lei Liu
- Department of Sports, Xi’an Polytechnic University, Xi’an 710048, China
- Correspondence: (L.L.); (X.Z.)
| | - Xuefeng Zhang
- Shaanxi Key Laboratory of Nano Materials and Technology, Xi’an University of Architecture and Technology, Xi’an 710055, China
- School of Mechanical and Electrical Engineering, Xi’an University of Architecture and Technology, Xi’an 710055, China
- Correspondence: (L.L.); (X.Z.)
| |
Collapse
|
29
|
Wang S, Liu M, Yang X, Lu Q, Xiong Z, Li L, Zheng H, Feng S, Zhang T. An unconventional vertical fluidic-controlled wearable platform for synchronously detecting sweat rate and electrolyte concentration. Biosens Bioelectron 2022; 210:114351. [PMID: 35569269 DOI: 10.1016/j.bios.2022.114351] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2022] [Revised: 04/25/2022] [Accepted: 05/05/2022] [Indexed: 11/29/2022]
Abstract
Epidermal microfluidic devices with long microchannels have been developed for continuous sweat analysis, which are crucial to assess personal hydration status and underlying health conditions. However, the flow resistance in long channels and the ionic concentration variation significantly affect the accuracy of both the sweat rate and electrolyte concentration measurements. Herein, we present a novel fluidic-controlled wearable platform for synchronously dropwise-detecting the sweat rate and total electrolyte concentration. The unconventional platform consisting of a vertically shortened channel, a pair of embedded electrodes and an absorption layer, is designed to minimize the flow resistance and transform sweat fluidics into uniform micro-droplets for chronological and dropwise detection. Real-time sweat conductance is decoupled from a square-wave-like curve, where the sweat rate and electrolyte concentration can be derived from the interval time and peak value, respectively. Flexible and wearable band devices are demonstrated to show their potential application for hydration status assessment during exercises.
Collapse
Affiliation(s)
- Shuqi Wang
- i-Lab, Key Laboratory of Multifunctional Nanomaterials and Smart Systems, Suzhou Institute of Nano-Tech and Nano-Bionics (SINANO), Chinese Academy of Sciences (CAS), 398 Ruoshui Road, Suzhou, Jiangsu, 215123, PR China
| | - Mengyuan Liu
- i-Lab, Key Laboratory of Multifunctional Nanomaterials and Smart Systems, Suzhou Institute of Nano-Tech and Nano-Bionics (SINANO), Chinese Academy of Sciences (CAS), 398 Ruoshui Road, Suzhou, Jiangsu, 215123, PR China; School of Nano-Tech and Nano-Bionics, University of Science and Technology of China, 96 Jinzhai Road, Hefei, Anhui, 230026, PR China
| | - Xianqing Yang
- i-Lab, Key Laboratory of Multifunctional Nanomaterials and Smart Systems, Suzhou Institute of Nano-Tech and Nano-Bionics (SINANO), Chinese Academy of Sciences (CAS), 398 Ruoshui Road, Suzhou, Jiangsu, 215123, PR China; School of Nano-Tech and Nano-Bionics, University of Science and Technology of China, 96 Jinzhai Road, Hefei, Anhui, 230026, PR China
| | - Qifeng Lu
- i-Lab, Key Laboratory of Multifunctional Nanomaterials and Smart Systems, Suzhou Institute of Nano-Tech and Nano-Bionics (SINANO), Chinese Academy of Sciences (CAS), 398 Ruoshui Road, Suzhou, Jiangsu, 215123, PR China; School of Chips, XJTLU Entrepreneur College (Taicang), Xi'an Jiaotong-Liverpool University, 111 Ren'ai Road, Suzhou, Jiangsu, 215123, PR China
| | - Zuoping Xiong
- i-Lab, Key Laboratory of Multifunctional Nanomaterials and Smart Systems, Suzhou Institute of Nano-Tech and Nano-Bionics (SINANO), Chinese Academy of Sciences (CAS), 398 Ruoshui Road, Suzhou, Jiangsu, 215123, PR China
| | - Lianhui Li
- i-Lab, Key Laboratory of Multifunctional Nanomaterials and Smart Systems, Suzhou Institute of Nano-Tech and Nano-Bionics (SINANO), Chinese Academy of Sciences (CAS), 398 Ruoshui Road, Suzhou, Jiangsu, 215123, PR China
| | - Hui Zheng
- i-Lab, Key Laboratory of Multifunctional Nanomaterials and Smart Systems, Suzhou Institute of Nano-Tech and Nano-Bionics (SINANO), Chinese Academy of Sciences (CAS), 398 Ruoshui Road, Suzhou, Jiangsu, 215123, PR China
| | - Simin Feng
- i-Lab, Key Laboratory of Multifunctional Nanomaterials and Smart Systems, Suzhou Institute of Nano-Tech and Nano-Bionics (SINANO), Chinese Academy of Sciences (CAS), 398 Ruoshui Road, Suzhou, Jiangsu, 215123, PR China
| | - Ting Zhang
- i-Lab, Key Laboratory of Multifunctional Nanomaterials and Smart Systems, Suzhou Institute of Nano-Tech and Nano-Bionics (SINANO), Chinese Academy of Sciences (CAS), 398 Ruoshui Road, Suzhou, Jiangsu, 215123, PR China; School of Nano-Tech and Nano-Bionics, University of Science and Technology of China, 96 Jinzhai Road, Hefei, Anhui, 230026, PR China; Vacuum Interconnected Nanotech Workstation (Nano-X), Suzhou Institute of Nano-Tech and Nano-Bionics (SINANO), Chinese Academy of Sciences (CAS), 385 Ruoshui Road, Suzhou, Jiangsu, 215123, PR China; Gusu Laboratory of Materials, 388 Ruoshui Road, Suzhou, Jiangsu, 215123, PR China; Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, 320 Yueyang Road, Shanghai, 200031, PR China.
| |
Collapse
|
30
|
Wang X, Liu Y, Cheng H, Ouyang X. Surface Wettability for Skin-Interfaced Sensors and Devices. ADVANCED FUNCTIONAL MATERIALS 2022; 32:2200260. [PMID: 36176721 PMCID: PMC9514151 DOI: 10.1002/adfm.202200260] [Citation(s) in RCA: 38] [Impact Index Per Article: 19.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/08/2022] [Indexed: 05/05/2023]
Abstract
The practical applications of skin-interfaced sensors and devices in daily life hinge on the rational design of surface wettability to maintain device integrity and achieve improved sensing performance under complex hydrated conditions. Various bio-inspired strategies have been implemented to engineer desired surface wettability for varying hydrated conditions. Although the bodily fluids can negatively affect the device performance, they also provide a rich reservoir of health-relevant information and sustained energy for next-generation stretchable self-powered devices. As a result, the design and manipulation of the surface wettability are critical to effectively control the liquid behavior on the device surface for enhanced performance. The sensors and devices with engineered surface wettability can collect and analyze health biomarkers while being minimally affected by bodily fluids or ambient humid environments. The energy harvesters also benefit from surface wettability design to achieve enhanced performance for powering on-body electronics. In this review, we first summarize the commonly used approaches to tune the surface wettability for target applications toward stretchable self-powered devices. By considering the existing challenges, we also discuss the opportunities as a small fraction of potential future developments, which can lead to a new class of skin-interfaced devices for use in digital health and personalized medicine.
Collapse
Affiliation(s)
- Xiufeng Wang
- School of Materials Science and Engineering, Xiangtan University, Xiangtan, Hunan 411105, China
| | - Yangchengyi Liu
- School of Materials Science and Engineering, Xiangtan University, Xiangtan, Hunan 411105, China
| | - Huanyu Cheng
- Department of Engineering Science and Mechanics, The Pennsylvania State University, University Park, PA 16802, USA
| | - Xiaoping Ouyang
- School of Materials Science and Engineering, Xiangtan University, Xiangtan, Hunan 411105, China
| |
Collapse
|
31
|
Zhang H, Qiu Y, Yu S, Ding C, Hu J, Qi H, Tian Y, Zhang Z, Liu A, Wu H. Wearable microfluidic patch with integrated capillary valves and pumps for sweat management and multiple biomarker analysis. BIOMICROFLUIDICS 2022; 16:044104. [PMID: 35915777 PMCID: PMC9338840 DOI: 10.1063/5.0092084] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/20/2022] [Accepted: 06/14/2022] [Indexed: 06/15/2023]
Abstract
Wearable sweat sensors are essential for providing insight into human physiological health. The currently developed microfluidic sweat sensors have demonstrated the function of collecting and storing sweat. However, they detect more average concentrations of substances based on time periods, which leads to the fact that in situ real-time measurement for multiple biomarkers remains a grand challenge. Here, we propose a wearable epidermal microfluidic patch with integrated microfluidic pumps and micro-valves for accelerated and continuous collection of the sweat, where the micro-pumps ensure the complete separation of old and new sweat for real-time detection of real concentration of biomarkers in sweat. The biomarker concentration at different time periods is detected by introducing a burst valve, which is used to assist in the analysis of the real-time detection. A quantitative relationship between the minimum burst pressure difference required for sequential collection and the size of the microchannel structure is established to overcome the effects of additional resistance at the gas-liquid interface. Additionally, the sensing modules, including sodium ion, chlorine ion, glucose, and pH level in sweat, are integrated into the patch to realize in situ, real-time detection of multiple biomarkers in the human sweat, decoding the correlation between changes in substance concentrations and physiological conditions. This work provides a unique and simplifying strategy for developing wearable sweat sensors for potential applications in health monitoring and disease diagnostics.
Collapse
Affiliation(s)
| | | | | | - Chen Ding
- Key Laboratory of Optical Field Manipulation of Zhejiang Province, Zhejiang Sci-Tech University, People’s Republic of China
| | | | | | | | | | - Aiping Liu
- Key Laboratory of Optical Field Manipulation of Zhejiang Province, Zhejiang Sci-Tech University, People’s Republic of China
| | - Huaping Wu
- Authors to whom correspondence should be addressed: and
| |
Collapse
|
32
|
Bariya M, Davis N, Gillan L, Jansson E, Kokkonen A, McCaffrey C, Hiltunen J, Javey A. Resettable Microfluidics for Broad-Range and Prolonged Sweat Rate Sensing. ACS Sens 2022; 7:1156-1164. [PMID: 35411764 DOI: 10.1021/acssensors.2c00177] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
Wearable sweat sensors are emerging as promising platforms for personalized and real-time tracking of evolving health and fitness parameters. While most wearable sweat sensors focus on tracking biomarker concentration profiles, sweat secretion rate is a key metric with broad implications for assessing hydration, cardiac, and neural conditions. Here we present a wearable microfluidic sensor for continuous sweat rate measurement. A discrete impedimetric sensing scheme relying on interdigitated electrodes within a microfluidic sweat collector allows for precise and selective sweat rate measurement across a broad physiological range. Integration of a manually activated pressure pump to expel sweat from the device prevents sensor saturation and enables continuous sweat rate tracking over hours. By enabling broad range and prolonged sweat rate measurement, this platform tackles a key obstacle to realizing meaningful and actionable sweat sensing for applications in exercise physiology and medicine.
Collapse
Affiliation(s)
- Mallika Bariya
- Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, California 94720, United States
- Berkeley Sensor and Actuator Center, University of California, Berkeley, California 94720, United States
- Materials Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, California 94720, United States
| | - Noelle Davis
- Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, California 94720, United States
- Berkeley Sensor and Actuator Center, University of California, Berkeley, California 94720, United States
- Materials Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, California 94720, United States
| | - Liam Gillan
- VTT Technical Research Centre of Finland Ltd, Tietotie 3, Espoo, 02150, Finland
| | - Elina Jansson
- VTT Technical Research Centre of Finland Ltd, Kaitoväylä 1, Oulu, 90570, Finland
| | - Annukka Kokkonen
- VTT Technical Research Centre of Finland Ltd, Kaitoväylä 1, Oulu, 90570, Finland
| | - Colm McCaffrey
- VTT Technical Research Centre of Finland Ltd, Tietotie 3, Espoo, 02150, Finland
| | - Jussi Hiltunen
- VTT Technical Research Centre of Finland Ltd, Kaitoväylä 1, Oulu, 90570, Finland
| | - Ali Javey
- Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, California 94720, United States
- Berkeley Sensor and Actuator Center, University of California, Berkeley, California 94720, United States
- Materials Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, California 94720, United States
| |
Collapse
|
33
|
Zhong B, Jiang K, Wang L, Shen G. Wearable Sweat Loss Measuring Devices: From the Role of Sweat Loss to Advanced Mechanisms and Designs. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2022; 9:e2103257. [PMID: 34713981 PMCID: PMC8728835 DOI: 10.1002/advs.202103257] [Citation(s) in RCA: 38] [Impact Index Per Article: 19.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/28/2021] [Revised: 09/15/2021] [Indexed: 05/22/2023]
Abstract
Wearable sweat sensors have received significant research interest and have become popular as sweat contains considerable health information about physiological and psychological states. However, measured biomarker concentrations vary with sweat rates, which has a significant effect on the accuracy and reliability of sweat biosensors. Wearable sweat loss measuring devices (SLMDs) have recently been proposed to overcome the limitations of biomarker tracking and reduce inter- and intraindividual variability. In addition, they offer substantial potential for monitoring human body homeostasis, because sweat loss plays an indispensable role in thermoregulation and skin hydration. Previous studies have not carried out a comprehensive and systematic review of the principles, importance, and development of wearable SLMDs. This paper reviews wearable SLMDs with a new health perspective from the role of sweat loss to advanced mechanisms and designs. Two types of sweat and their measurement significance for practical applications are highlighted. Then, a comprehensive review of advances in different wearable SLMDs based on hygrometers, absorbent materials, and microfluidics is presented by describing their respective device architectures, present situations, and future directions. Finally, concluding remarks on opportunities for future application fields and challenges for future sweat sensing are presented.
Collapse
Affiliation(s)
- Bowen Zhong
- State Key Laboratory for Superlattices and Microstructures, Institution of Semiconductors, Chinese Academy of Sciences, Beijing, 100083, China
- Center of Materials Science and Optoelectronic Engineering, University of Chinese Academy of Sciences, Beijing, 100029, China
| | - Kai Jiang
- Faculty of Hepato-Pancreato-Biliary Surgery, Chinese PLA General Hospital, Institute of Hepatobiliary Surgery of Chinese PLA, Key Laboratory of Digital Hepatobiliary Surgery, Chinese PLA, Beijing, 100853, China
| | - Lili Wang
- State Key Laboratory for Superlattices and Microstructures, Institution of Semiconductors, Chinese Academy of Sciences, Beijing, 100083, China
- Center of Materials Science and Optoelectronic Engineering, University of Chinese Academy of Sciences, Beijing, 100029, China
| | - Guozhen Shen
- State Key Laboratory for Superlattices and Microstructures, Institution of Semiconductors, Chinese Academy of Sciences, Beijing, 100083, China
- Center of Materials Science and Optoelectronic Engineering, University of Chinese Academy of Sciences, Beijing, 100029, China
| |
Collapse
|
34
|
Qi J, Chen Z, Jiang P, Hu W, Wang Y, Zhao Z, Cao X, Zhang S, Tao R, Li Y, Fang D. Recent Progress in Active Mechanical Metamaterials and Construction Principles. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2022; 9:e2102662. [PMID: 34716676 PMCID: PMC8728820 DOI: 10.1002/advs.202102662] [Citation(s) in RCA: 32] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/27/2021] [Revised: 08/31/2021] [Indexed: 05/03/2023]
Abstract
Active mechanical metamaterials (AMMs) (or smart mechanical metamaterials) that combine the configurations of mechanical metamaterials and the active control of stimuli-responsive materials have been widely investigated in recent decades. The elaborate artificial microstructures of mechanical metamaterials and the stimulus response characteristics of smart materials both contribute to AMMs, making them achieve excellent properties beyond the conventional metamaterials. The micro and macro structures of the AMMs are designed based on structural construction principles such as, phase transition, strain mismatch, and mechanical instability. Considering the controllability and efficiency of the stimuli-responsive materials, physical fields such as, the temperature, chemicals, light, electric current, magnetic field, and pressure have been adopted as the external stimuli in practice. In this paper, the frontier works and the latest progress in AMMs from the aspects of the mechanics and materials are reviewed. The functions and engineering applications of the AMMs are also discussed. Finally, existing issues and future perspectives in this field are briefly described. This review is expected to provide the basis and inspiration for the follow-up research on AMMs.
Collapse
Affiliation(s)
- Jixiang Qi
- State Key Laboratory of Explosion Science and TechnologyBeijing Institute of TechnologyBeijing100081China
- Beijing Key Laboratory of Lightweight Multi‐functional Composite Materials and StructuresInstitute of Advanced Structure TechnologyBeijing Institute of TechnologyBeijing100081China
| | - Zihao Chen
- State Key Laboratory of Explosion Science and TechnologyBeijing Institute of TechnologyBeijing100081China
- Beijing Key Laboratory of Lightweight Multi‐functional Composite Materials and StructuresInstitute of Advanced Structure TechnologyBeijing Institute of TechnologyBeijing100081China
| | - Peng Jiang
- State Key Laboratory of Explosion Science and TechnologyBeijing Institute of TechnologyBeijing100081China
- Beijing Key Laboratory of Lightweight Multi‐functional Composite Materials and StructuresInstitute of Advanced Structure TechnologyBeijing Institute of TechnologyBeijing100081China
| | - Wenxia Hu
- Beijing Key Laboratory of Lightweight Multi‐functional Composite Materials and StructuresInstitute of Advanced Structure TechnologyBeijing Institute of TechnologyBeijing100081China
| | - Yonghuan Wang
- State Key Laboratory of Explosion Science and TechnologyBeijing Institute of TechnologyBeijing100081China
- Beijing Key Laboratory of Lightweight Multi‐functional Composite Materials and StructuresInstitute of Advanced Structure TechnologyBeijing Institute of TechnologyBeijing100081China
| | - Zeang Zhao
- Beijing Key Laboratory of Lightweight Multi‐functional Composite Materials and StructuresInstitute of Advanced Structure TechnologyBeijing Institute of TechnologyBeijing100081China
| | - Xiaofei Cao
- State Key Laboratory of Explosion Science and TechnologyBeijing Institute of TechnologyBeijing100081China
- Beijing Key Laboratory of Lightweight Multi‐functional Composite Materials and StructuresInstitute of Advanced Structure TechnologyBeijing Institute of TechnologyBeijing100081China
| | - Shushan Zhang
- State Key Laboratory of Explosion Science and TechnologyBeijing Institute of TechnologyBeijing100081China
- Beijing Key Laboratory of Lightweight Multi‐functional Composite Materials and StructuresInstitute of Advanced Structure TechnologyBeijing Institute of TechnologyBeijing100081China
| | - Ran Tao
- Beijing Key Laboratory of Lightweight Multi‐functional Composite Materials and StructuresInstitute of Advanced Structure TechnologyBeijing Institute of TechnologyBeijing100081China
| | - Ying Li
- State Key Laboratory of Explosion Science and TechnologyBeijing Institute of TechnologyBeijing100081China
- Beijing Key Laboratory of Lightweight Multi‐functional Composite Materials and StructuresInstitute of Advanced Structure TechnologyBeijing Institute of TechnologyBeijing100081China
| | - Daining Fang
- Beijing Key Laboratory of Lightweight Multi‐functional Composite Materials and StructuresInstitute of Advanced Structure TechnologyBeijing Institute of TechnologyBeijing100081China
| |
Collapse
|
35
|
|
36
|
Ghaffari R, Yang DS, Kim J, Mansour A, Wright JA, Model JB, Wright DE, Rogers JA, Ray TR. State of Sweat: Emerging Wearable Systems for Real-Time, Noninvasive Sweat Sensing and Analytics. ACS Sens 2021; 6:2787-2801. [PMID: 34351759 DOI: 10.1021/acssensors.1c01133] [Citation(s) in RCA: 47] [Impact Index Per Article: 15.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
Skin-interfaced wearable systems with integrated colorimetric assays, microfluidic channels, and electrochemical sensors offer powerful capabilities for noninvasive, real-time sweat analysis. This Perspective details recent progress in the development and translation of novel wearable sensors for personalized assessment of sweat dynamics and biomarkers, with precise sampling and real-time analysis. Sensor accuracy, system ruggedness, and large-scale deployment in remote environments represent key opportunity areas, enabling broad deployment in the context of field studies, clinical trials, and recent commercialization. On-body measurements in these contexts show good agreement compared to conventional laboratory-based sweat analysis approaches. These device demonstrations highlight the utility of biochemical sensing platforms for personalized assessment of performance, wellness, and health across a broad range of applications.
Collapse
Affiliation(s)
- Roozbeh Ghaffari
- Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, Illinois 60202, United States
- Department of Biomedical Engineering, Northwestern University, Evanston, Illinois 60202, United States
- Epicore Biosystems, Inc., Cambridge, Massachusetts 02139, United States
| | - Da Som Yang
- Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, Illinois 60202, United States
| | - Joohee Kim
- Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, Illinois 60202, United States
| | - Amer Mansour
- Division of Biological Sciences, The University of Chicago, Chicago, Illinois 60637, United States
| | - John A. Wright
- Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, Illinois 60202, United States
- Epicore Biosystems, Inc., Cambridge, Massachusetts 02139, United States
| | - Jeffrey B. Model
- Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, Illinois 60202, United States
- Epicore Biosystems, Inc., Cambridge, Massachusetts 02139, United States
| | - Donald E. Wright
- Epicore Biosystems, Inc., Cambridge, Massachusetts 02139, United States
| | - John A. Rogers
- Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, Illinois 60202, United States
- Department of Biomedical Engineering, Northwestern University, Evanston, Illinois 60202, United States
- Epicore Biosystems, Inc., Cambridge, Massachusetts 02139, United States
- Departments of Materials Science and Engineering, Mechanical Engineering, Electrical and Computer Engineering, and Chemistry, Northwestern University, Evanston, Illinois 60202, United States
- Department of Neurological Surgery, Northwestern University Feinberg School of Medicine, Chicago, Illinois 60611, United States
| | - Tyler R. Ray
- Department of Mechanical Engineering, University of Hawai’i at Ma̅noa, Honolulu, Hawaii 96822, United States
- Department of Cell and Molecular Biology, John A. Burns School of Medicine, University of Hawai’i at Ma̅noa, Honolulu, Hawaii 96813, United States
| |
Collapse
|
37
|
Liu Y, Cheng M, Huang J, Liu Y, Chen Y, Xiao Y, Chen S, Ouyang X, Cheng H, Wang X. Strain-Tunable Microfluidic Devices with Crack and Wrinkle Microvalves for Microsphere Screening and Fluidic Logic Gates. ACS APPLIED MATERIALS & INTERFACES 2021; 13:36849-36858. [PMID: 34319064 DOI: 10.1021/acsami.1c08745] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/13/2023]
Abstract
Mechanical instabilities in soft materials have led to the formation of unique surface patterns such as wrinkles and cracks for a wide range of applications that are related to surface morphologies and their dynamic tuning. Here, we report a simple yet effective strategy to fabricate strain-tunable crack and wrinkle microvalves with dimensions responding to the applied tensile strain. The crack microvalves initially closed before stretching are opened as the tensile strain is applied, whereas the wrinkle microvalves exhibit the opposite trend. Next, the performance of crack and wrinkle microvalves is characterized. The design predictions on the bursting pressure of microvalves and others from the theory agree reasonably well with the experimental measurements. The microfluidic devices with strain-tunable crack and wrinkle microvalves have then been demonstrated for microsphere screening and programmable microfluidic logic devices. The demonstrated microfluidic devices complement the prior studies to open up opportunities in microparticle/cell manipulations, fluidic operations, and biomedicine.
Collapse
Affiliation(s)
- Ying Liu
- School of Materials Science and Engineering, Xiangtan University, Xiangtan 411105, Hunan, China
| | - Min Cheng
- School of Materials Science and Engineering, Xiangtan University, Xiangtan 411105, Hunan, China
| | - Jielong Huang
- School of Materials Science and Engineering, Xiangtan University, Xiangtan 411105, Hunan, China
| | - Yangchengyi Liu
- School of Materials Science and Engineering, Xiangtan University, Xiangtan 411105, Hunan, China
| | - Yao Chen
- School of Materials Science and Engineering, Xiangtan University, Xiangtan 411105, Hunan, China
| | - Yang Xiao
- School of Materials Science and Engineering, Xiangtan University, Xiangtan 411105, Hunan, China
| | - Shangda Chen
- School of Materials Science and Engineering, Xiangtan University, Xiangtan 411105, Hunan, China
| | - Xiaoping Ouyang
- School of Materials Science and Engineering, Xiangtan University, Xiangtan 411105, Hunan, China
| | - Huanyu Cheng
- Department of Engineering Science and Mechanics, The Pennsylvania State University, University Park, Pennsylvania 16802, United States
| | - Xiufeng Wang
- School of Materials Science and Engineering, Xiangtan University, Xiangtan 411105, Hunan, China
| |
Collapse
|
38
|
Chen YC, Shan SS, Liao YT, Liao YC. Bio-inspired fractal textile device for rapid sweat collection and monitoring. LAB ON A CHIP 2021; 21:2524-2533. [PMID: 34105558 DOI: 10.1039/d1lc00328c] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/12/2023]
Abstract
In this study, a new design concept in sweat collection was developed to achieve rapid and intact sweat sampling for analytical purposes. Textiles with fast water wicking properties were first selected and laser engraved into tree-like bifurcating channels for sweat collection. The fractal framework of the bifurcating textile channels was theoretically derived to minimize the flow resistance for fast sweat absorption. The optimized collector with designed fractal geometry exhibited thorough coverage of emerging droplets without overflow. Great collection efficiency was achieved with a short induction time (<1 minute after perspiration begins) and a maximum sweat collection flux up to 4.0 μL cm-2 min-1 without leakage. After being combined with printed sensors and microchips, the assembled sweat collection/sensing device can simultaneously provide measurements of salt concentration and sweat rate for wireless hydration state monitoring. The collection/sensing system also exhibited fast response times to abrupt changes in sweat rates or concentrations and thus can be used to detect instant physical conditions in exercise. Finally, field tests were performed to demonstrate the reliability and practicality of the device in real-time sweat monitoring under vigorous activities.
Collapse
Affiliation(s)
- Yen-Chi Chen
- Department of Chemical Engineering, National Taiwan University, Taipei, Taiwan. and Advanced Research Center for Green Materials Science and Technology, National Taiwan University, Taipei, Taiwan
| | - Siang-Sin Shan
- Department of Electrical and Computer Engineering, National Yang Ming Chiao Tung University, Hsinchu, Taiwan
| | - Yu-Te Liao
- Department of Electrical and Computer Engineering, National Yang Ming Chiao Tung University, Hsinchu, Taiwan
| | - Ying-Chih Liao
- Department of Chemical Engineering, National Taiwan University, Taipei, Taiwan. and Advanced Research Center for Green Materials Science and Technology, National Taiwan University, Taipei, Taiwan
| |
Collapse
|
39
|
Li X, Zhao X, Yang W, Xu F, Chen B, Peng J, Huang J, Mi S. Stretch-driven microfluidic chip for nucleic acid detection. Biotechnol Bioeng 2021; 118:3559-3568. [PMID: 34042175 DOI: 10.1002/bit.27839] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2021] [Accepted: 05/20/2021] [Indexed: 11/09/2022]
Abstract
Molecular diagnosis is an essential means to detect pathogens. The portable nucleic acid detection chip has excellent prospects in places where medical resources are scarce, and it is also of research interest in the field of microfluidic chips. Here, the article developed a new type of microfluidic chip for nucleic acid detection where stretching acts as the driving force. The sample entered the chip by applying capillary force. The strain valve was opened under the action of tensile force, and the spring pump generated the power to drive the fluid to flow to the detection chamber in a specific direction. The detection of coronavirus disease 2019 (COVID-19) was realized on the chip. The RT-LAMP amplification system was adopted to observe the liquid color in the detection chamber to decide whether the sample tested positive or negative qualitatively.
Collapse
Affiliation(s)
- Xiang Li
- Bio-manufacturing Engineering Laboratory, Tsinghua Shenzhen International Graduate School, Tsinghua University, Guangdong, Shenzhen, China
| | - Xiaoyu Zhao
- Bio-manufacturing Engineering Laboratory, Tsinghua Shenzhen International Graduate School, Tsinghua University, Guangdong, Shenzhen, China
| | - Weihao Yang
- Bio-manufacturing Engineering Laboratory, Tsinghua Shenzhen International Graduate School, Tsinghua University, Guangdong, Shenzhen, China
| | - Fei Xu
- Bio-manufacturing Engineering Laboratory, Tsinghua Shenzhen International Graduate School, Tsinghua University, Guangdong, Shenzhen, China
| | - Bailiang Chen
- Bio-manufacturing Engineering Laboratory, Tsinghua Shenzhen International Graduate School, Tsinghua University, Guangdong, Shenzhen, China
| | - Jiwei Peng
- Bio-manufacturing Engineering Laboratory, Tsinghua Shenzhen International Graduate School, Tsinghua University, Guangdong, Shenzhen, China
| | - Jiajun Huang
- Bio-manufacturing Engineering Laboratory, Tsinghua Shenzhen International Graduate School, Tsinghua University, Guangdong, Shenzhen, China
| | - Shengli Mi
- Bio-manufacturing Engineering Laboratory, Tsinghua Shenzhen International Graduate School, Tsinghua University, Guangdong, Shenzhen, China
| |
Collapse
|
40
|
Baumann R, Untersmayr E, Zissler UM, Eyerich S, Adcock IM, Brockow K, Biedermann T, Ollert M, Chaker AM, Pfaar O, Garn H, Thwaites RS, Togias A, Kowalski ML, Hansel TT, Jakwerth CA, Schmidt‐Weber CB. Noninvasive and minimally invasive techniques for the diagnosis and management of allergic diseases. Allergy 2021; 76:1010-1023. [PMID: 33128851 DOI: 10.1111/all.14645] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2020] [Revised: 10/13/2020] [Accepted: 10/25/2020] [Indexed: 12/12/2022]
Abstract
Allergic diseases of the (upper and lower) airways, the skin and the gastrointestinal tract, are on the rise, resulting in impaired quality of life, decreased productivity, and increased healthcare costs. As allergic diseases are mostly tissue-specific, local sampling methods for respective biomarkers offer the potential for increased sensitivity and specificity. Additionally, local sampling using noninvasive or minimally invasive methods can be cost-effective and well tolerated, which may even be suitable for primary or home care sampling. Non- or minimally invasive local sampling and diagnostics may enable a more thorough endotyping, may help to avoid under- or overdiagnosis, and may provide the possibility to approach precision prevention, due to early diagnosis of these local diseases even before they get systemically manifested and detectable. At the same time, dried blood samples may help to facilitate minimal-invasive primary or home care sampling for classical systemic diagnostic approaches. This EAACI position paper contains a thorough review of the various technologies in allergy diagnosis available on the market, which analytes or biomarkers are employed, and which samples or matrices can be used. Based on this assessment, EAACI position is to drive these developments to efficiently identify allergy and possibly later also viral epidemics and take advantage of comprehensive knowledge to initiate preventions and treatments.
Collapse
Affiliation(s)
- Ralf Baumann
- Medical Faculty Institute for Molecular Medicine Medical School Hamburg (MSH) – Medical University Hamburg Germany
- RWTH Aachen University Hospital Institute for Occupational, Social and Environmental Medicine Aachen Germany
| | - Eva Untersmayr
- Institute of Pathophysiology and Allergy Research Center of Pathophysiology, Infectiology and Immunology Medical University of Vienna Vienna Austria
| | - Ulrich M. Zissler
- Center of Allergy and Environment (ZAUM) Technical University and Helmholtz Zentrum München München Germany
- Member of the German Center of Lung Research (DZL) and the Helmholtz I&I Initiative Munich Germany
| | - Stefanie Eyerich
- Center of Allergy and Environment (ZAUM) Technical University and Helmholtz Zentrum München München Germany
- Member of the German Center of Lung Research (DZL) and the Helmholtz I&I Initiative Munich Germany
| | - Ian M. Adcock
- National Heart and Lung Institute Imperial College London, and Royal Brompton and Harefield NHS Trust London UK
| | - Knut Brockow
- Department of Dermatology and Allergy Biederstein School of Medicine Technische Universität München Munich Germany
| | - Tilo Biedermann
- Department of Dermatology and Allergy Biederstein School of Medicine Technische Universität München Munich Germany
| | - Markus Ollert
- Department of Infection and Immunity Luxembourg Institute of Health (LIH) Esch‐sur‐Alzette Luxembourg
- Department of Dermatology and Allergy Center Odense Research Centre for Anaphylaxis (ORCA) University of Southern Denmark Odense Denmark
| | - Adam M. Chaker
- Center of Allergy and Environment (ZAUM) Technical University and Helmholtz Zentrum München München Germany
- Member of the German Center of Lung Research (DZL) and the Helmholtz I&I Initiative Munich Germany
- Department of Otolaryngology Allergy Section Klinikum Rechts der Isar Technical University of Munich Munich Germany
| | - Oliver Pfaar
- Department of Otorhinolaryngology, Head and Neck Surgery University Hospital Marburg Philipps‐Universität Marburg Marburg Germany
| | - Holger Garn
- Biochemical Pharmacological Center (BPC) ‐ Molecular Diagnostics, Translational Inflammation Research Division & Core Facility for Single Cell Multiomics Philipps University of Marburg ‐ Medical Faculty Member of the German Center for Lung Research (DZL) Universities of Giessen and Marburg Lung Center (UGMLC) Marburg Germany
| | - Ryan S. Thwaites
- National Heart and Lung Institute Imperial College London, and Royal Brompton and Harefield NHS Trust London UK
| | - Alkis Togias
- Division of Allergy, Immunology and Transplantation National Institute of Allergy and Infectious Diseases National Institutes of Health Bethesda MD USA
| | - Marek L. Kowalski
- Department of Immunology and Allergy Medical University of Lodz Lodz Poland
| | - Trevor T. Hansel
- National Heart and Lung Institute Imperial College London, and Royal Brompton and Harefield NHS Trust London UK
| | - Constanze A. Jakwerth
- Center of Allergy and Environment (ZAUM) Technical University and Helmholtz Zentrum München München Germany
- Member of the German Center of Lung Research (DZL) and the Helmholtz I&I Initiative Munich Germany
| | - Carsten B. Schmidt‐Weber
- Center of Allergy and Environment (ZAUM) Technical University and Helmholtz Zentrum München München Germany
- Member of the German Center of Lung Research (DZL) and the Helmholtz I&I Initiative Munich Germany
| |
Collapse
|
41
|
Ray TR, Ivanovic M, Curtis PM, Franklin D, Guventurk K, Jeang WJ, Chafetz J, Gaertner H, Young G, Rebollo S, Model JB, Lee SP, Ciraldo J, Reeder JT, Hourlier-Fargette A, Bandodkar AJ, Choi J, Aranyosi AJ, Ghaffari R, McColley SA, Haymond S, Rogers JA. Soft, skin-interfaced sweat stickers for cystic fibrosis diagnosis and management. Sci Transl Med 2021; 13:eabd8109. [PMID: 33790027 PMCID: PMC8351625 DOI: 10.1126/scitranslmed.abd8109] [Citation(s) in RCA: 37] [Impact Index Per Article: 12.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2020] [Accepted: 03/02/2021] [Indexed: 12/14/2022]
Abstract
The concentration of chloride in sweat remains the most robust biomarker for confirmatory diagnosis of cystic fibrosis (CF), a common life-shortening genetic disorder. Early diagnosis via quantitative assessment of sweat chloride allows prompt initiation of care and is critically important to extend life expectancy and improve quality of life. The collection and analysis of sweat using conventional wrist-strapped devices and iontophoresis can be cumbersome, particularly for infants with fragile skin, who often have insufficient sweat production. Here, we introduce a soft, epidermal microfluidic device ("sweat sticker") designed for the simple and rapid collection and analysis of sweat. Intimate, conformal coupling with the skin supports nearly perfect efficiency in sweat collection without leakage. Real-time image analysis of chloride reagents allows for quantitative assessment of chloride concentrations using a smartphone camera, without requiring extraction of sweat or external analysis. Clinical validation studies involving patients with CF and healthy subjects, across a spectrum of age groups, support clinical equivalence compared to existing device platforms in terms of accuracy and demonstrate meaningful reductions in rates of leakage. The wearable microfluidic technologies and smartphone-based analytics reported here establish the foundation for diagnosis of CF outside of clinical settings.
Collapse
Affiliation(s)
- Tyler R Ray
- Department of Mechanical Engineering, University of Hawaii at Manoa, Honolulu, HI 96822, USA
- Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL 60202, USA
- Department of Materials Science and Engineering, Northwestern University, Evanston, IL 60202, USA
| | - Maja Ivanovic
- Northwestern University Feinberg School of Medicine, Chicago, IL 60611, USA
| | - Paul M Curtis
- Department of Chemical and Biological Engineering, Northwestern University, Evanston, IL 60202, USA
| | - Daniel Franklin
- Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL 60202, USA
- Department of Materials Science and Engineering, Northwestern University, Evanston, IL 60202, USA
| | - Kerem Guventurk
- Department of Biomedical Engineering, Northwestern University, Evanston, IL 60202, USA
| | - William J Jeang
- Department of Materials Science and Engineering, Northwestern University, Evanston, IL 60202, USA
| | - Joseph Chafetz
- Department of Materials Science and Engineering, Northwestern University, Evanston, IL 60202, USA
| | - Hannah Gaertner
- Department of Materials Science and Engineering, Northwestern University, Evanston, IL 60202, USA
| | - Grace Young
- Department of Materials Science and Engineering, Northwestern University, Evanston, IL 60202, USA
| | - Steve Rebollo
- Pritzker School of Molecular Engineering and Department of Physics, University of Chicago, Chicago, IL 60637, USA
| | - Jeffrey B Model
- Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL 60202, USA
- Epicore Biosystems Inc., Cambridge, MA 02139, USA
| | - Stephen P Lee
- Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL 60202, USA
- Epicore Biosystems Inc., Cambridge, MA 02139, USA
| | - John Ciraldo
- Micro/Nano Fabrication Facility (NUFAB) Northwestern University, Evanston, IL 60202, USA
| | - Jonathan T Reeder
- Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL 60202, USA
| | - Aurélie Hourlier-Fargette
- Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL 60202, USA
- Université de Strasbourg, CNRS, Institut Charles Sadron UPR22, F-67000, Strasbourg 67034, France
| | - Amay J Bandodkar
- Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL 60202, USA
| | - Jungil Choi
- Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL 60202, USA
- School of Mechanical Engineering, Kookmin University, Seoul 02707, Republic of Korea
| | - Alexander J Aranyosi
- Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL 60202, USA
- Epicore Biosystems Inc., Cambridge, MA 02139, USA
| | - Roozbeh Ghaffari
- Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL 60202, USA
- Department of Biomedical Engineering, Northwestern University, Evanston, IL 60202, USA
- Epicore Biosystems Inc., Cambridge, MA 02139, USA
| | - Susanna A McColley
- Department of Pediatrics, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, USA
- Division of Pulmonary and Sleep Medicine, Ann & Robert H. Lurie Children's Hospital of Chicago, Chicago, IL 60611, USA
| | - Shannon Haymond
- Department of Pathology, Northwestern Feinberg School of Medicine, Chicago, IL 60611, USA
- Ann & Robert H. Lurie Children's Hospital of Chicago, Chicago, IL 60611, USA
| | - John A Rogers
- Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL 60202, USA.
- Department of Materials Science and Engineering, Northwestern University, Evanston, IL 60202, USA
- Department of Biomedical Engineering, Northwestern University, Evanston, IL 60202, USA
- Epicore Biosystems Inc., Cambridge, MA 02139, USA
- Department of Mechanical Engineering, Department of Electrical and Computer Engineering, Department of Chemistry, Northwestern University, Evanston, IL 60202, USA
- Department of Neurological Surgery Northwestern University Feinberg School of Medicine, Chicago, IL 60611, USA
| |
Collapse
|
42
|
Rabost-Garcia G, Farré-Lladós J, Casals-Terré J. Recent Impact of Microfluidics on Skin Models for Perspiration Simulation. MEMBRANES 2021; 11:membranes11020150. [PMID: 33670063 PMCID: PMC7926414 DOI: 10.3390/membranes11020150] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/31/2021] [Revised: 02/16/2021] [Accepted: 02/18/2021] [Indexed: 02/07/2023]
Abstract
Skin models offer an in vitro alternative to human trials without their high costs, variability, and ethical issues. Perspiration models, in particular, have gained relevance lately due to the rise of sweat analysis and wearable technology. The predominant approach to replicate the key features of perspiration (sweat gland dimensions, sweat rates, and skin surface characteristics) is to use laser-machined membranes. Although they work effectively, they present some limitations at the time of replicating sweat gland dimensions. Alternative strategies in terms of fabrication and materials have also showed similar challenges. Additional research is necessary to implement a standardized, simple, and accurate model representing sweating for wearable sensors testing.
Collapse
Affiliation(s)
- Genís Rabost-Garcia
- Department of Mechanical Engineering, MicroTech Lab, Universitat Politècnica de Catalunya (UPC), C/Colom 7-11, 08222 Terrassa, Spain; (J.F.-L.); (J.C.-T.)
- Onalabs Inno-hub S.L., C/de la Llibertat 11, 08012 Barcelona, Spain
- Correspondence:
| | - Josep Farré-Lladós
- Department of Mechanical Engineering, MicroTech Lab, Universitat Politècnica de Catalunya (UPC), C/Colom 7-11, 08222 Terrassa, Spain; (J.F.-L.); (J.C.-T.)
| | - Jasmina Casals-Terré
- Department of Mechanical Engineering, MicroTech Lab, Universitat Politècnica de Catalunya (UPC), C/Colom 7-11, 08222 Terrassa, Spain; (J.F.-L.); (J.C.-T.)
| |
Collapse
|
43
|
Pu Z, Zhang X, Yu H, Tu J, Chen H, Liu Y, Su X, Wang R, Zhang L, Li D. A thermal activated and differential self-calibrated flexible epidermal biomicrofluidic device for wearable accurate blood glucose monitoring. SCIENCE ADVANCES 2021; 7:7/5/eabd0199. [PMID: 33571117 PMCID: PMC7840141 DOI: 10.1126/sciadv.abd0199] [Citation(s) in RCA: 59] [Impact Index Per Article: 19.7] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/27/2020] [Accepted: 12/07/2020] [Indexed: 05/03/2023]
Abstract
This paper reports a flexible electronics-based epidermal biomicrofluidics technique for clinical continuous blood glucose monitoring, overcoming the drawback of the present wearables, unreliable measurements. A thermal activation method is proposed to improve the efficiency of transdermal interstitial fluid (ISF) extraction, enabling extraction with a low current density to notably reduce skin irritation. An Na+ sensor and a correction model are proposed to eliminate the effect of individual differences, which leads to fluctuations in the amount of ISF extraction. An electrochemical sensor with a 3D nanostructured working electrode surface is designed to enable precise in situ glucose measurement. A differential structure is proposed to eliminate the effect of passive perspiration, which leads to inaccurate blood glucose prediction. Fabrications of the epidermal biomicrofluidic device including formation of flexible electrodes, nanomaterial modification, and enzyme immobilization are fully realized by inkjet printing to enable facile manufacturing with low cost, which benefits practical production.
Collapse
Affiliation(s)
- Zhihua Pu
- State Key Laboratory of Precision Measuring Technology and Instruments, Tianjin University, Tianjin, China
| | - Xingguo Zhang
- State Key Laboratory of Precision Measuring Technology and Instruments, Tianjin University, Tianjin, China
| | - Haixia Yu
- Tianjin Key Laboratory of Biomedical Detecting Techniques and Instruments, Tianjin University, Tianjin, China
| | - Jiaan Tu
- State Key Laboratory of Precision Measuring Technology and Instruments, Tianjin University, Tianjin, China
| | - Hailong Chen
- State Key Laboratory of Precision Measuring Technology and Instruments, Tianjin University, Tianjin, China
| | - Yuncong Liu
- State Key Laboratory of Precision Measuring Technology and Instruments, Tianjin University, Tianjin, China
| | - Xiao Su
- State Key Laboratory of Precision Measuring Technology and Instruments, Tianjin University, Tianjin, China
| | - Ridong Wang
- State Key Laboratory of Precision Measuring Technology and Instruments, Tianjin University, Tianjin, China
| | - Lei Zhang
- State Key Laboratory of Precision Measuring Technology and Instruments, Tianjin University, Tianjin, China
| | - Dachao Li
- State Key Laboratory of Precision Measuring Technology and Instruments, Tianjin University, Tianjin, China.
| |
Collapse
|
44
|
Choi DH, Gonzales M, Kitchen GB, Phan DT, Searson PC. A Capacitive Sweat Rate Sensor for Continuous and Real-Time Monitoring of Sweat Loss. ACS Sens 2020; 5:3821-3826. [PMID: 33263987 DOI: 10.1021/acssensors.0c01219] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
Individualized measurement of sweat loss under heat stress is important in assessing physical performance and preventing heat-related illness for athletes or individuals working in extreme environments. The objective of this work was to develop a low-cost and easy-to-fabricate wearable sensor that enables accurate real-time measurement of sweat rate. A capacitive-type sensor was fabricated from two conducting parallel plates, plastic insulating layers, and a central microfluidic channel formed by laser cutting a plastic film. The device has no microfabricated electrodes and is assembled using adhesive tape. Sensor accuracy was validated at different flow rates and confirmed using an equivalent circuit model of the device. On-body measurements demonstrate the feasibility of real-time measurements and show good agreement with values determined from a conventional sweat collection device.
Collapse
Affiliation(s)
- Dong-Hoon Choi
- Institute for Nanobiotechnology, John Hopkins University, 3400 North Charles Street, Baltimore, Maryland 21218, United States
| | - Mark Gonzales
- Institute for Nanobiotechnology, John Hopkins University, 3400 North Charles Street, Baltimore, Maryland 21218, United States
| | - Grant B. Kitchen
- Institute for Nanobiotechnology, John Hopkins University, 3400 North Charles Street, Baltimore, Maryland 21218, United States
| | - Dinh-Tuan Phan
- Institute for Nanobiotechnology, John Hopkins University, 3400 North Charles Street, Baltimore, Maryland 21218, United States
| | - Peter C. Searson
- Institute for Nanobiotechnology, John Hopkins University, 3400 North Charles Street, Baltimore, Maryland 21218, United States
- Department of Materials Science and Engineering, John Hopkins University, 3400 North Charles Street, Baltimore, Maryland 21218, United States
| |
Collapse
|
45
|
Lukas H, Xu C, Yu Y, Gao W. Emerging Telemedicine Tools for Remote COVID-19 Diagnosis, Monitoring, and Management. ACS NANO 2020; 14:16180-16193. [PMID: 33314910 PMCID: PMC7754783 DOI: 10.1021/acsnano.0c08494] [Citation(s) in RCA: 124] [Impact Index Per Article: 31.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/07/2023]
Abstract
The management of the COVID-19 pandemic has relied on cautious contact tracing, quarantine, and sterilization protocols while we await a vaccine to be made widely available. Telemedicine or mobile health (mHealth) is well-positioned during this time to reduce potential disease spread and prevent overloading of the healthcare system through at-home COVID-19 screening, diagnosis, and monitoring. With the rise of mass-fabricated electronics for wearable and portable sensors, emerging telemedicine tools have been developed to address shortcomings in COVID-19 diagnostics, monitoring, and management. In this Perspective, we summarize current implementations of mHealth sensors for COVID-19, highlight recent technological advances, and provide an overview on how these tools may be utilized to better control the COVID-19 pandemic.
Collapse
Affiliation(s)
- Heather Lukas
- Andrew and Peggy Cherng Department
of Medical Engineering, California Institute
of Technology, Pasadena, California 91125, United States
| | - Changhao Xu
- Andrew and Peggy Cherng Department
of Medical Engineering, California Institute
of Technology, Pasadena, California 91125, United States
| | - You Yu
- Andrew and Peggy Cherng Department
of Medical Engineering, California Institute
of Technology, Pasadena, California 91125, United States
| | - Wei Gao
- Andrew and Peggy Cherng Department
of Medical Engineering, California Institute
of Technology, Pasadena, California 91125, United States
| |
Collapse
|
46
|
Soft, skin-interfaced microfluidic systems with integrated immunoassays, fluorometric sensors, and impedance measurement capabilities. Proc Natl Acad Sci U S A 2020; 117:27906-27915. [PMID: 33106394 PMCID: PMC7668081 DOI: 10.1073/pnas.2012700117] [Citation(s) in RCA: 54] [Impact Index Per Article: 13.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/30/2022] Open
Abstract
Soft microfluidic systems that capture, store, and perform biomarker analysis of microliter volumes of sweat, in situ, as it emerges from the surface of the skin, represent an emerging class of wearable technology with powerful capabilities that complement those of traditional biophysical sensing devices. Recent work establishes applications in the real-time characterization of sweat dynamics and sweat chemistry in the context of sports performance and healthcare diagnostics. This paper presents a collection of advances in biochemical sensors and microfluidic designs that support multimodal operation in the monitoring of physiological signatures directly correlated to physical and mental stresses. These wireless, battery-free, skin-interfaced devices combine lateral flow immunoassays for cortisol, fluorometric assays for glucose and ascorbic acid (vitamin C), and digital tracking of skin galvanic responses. Systematic benchtop evaluations and field studies on human subjects highlight the key features of this platform for the continuous, noninvasive monitoring of biochemical and biophysical correlates of the stress state.
Collapse
|
47
|
A programmable epidermal microfluidic valving system for wearable biofluid management and contextual biomarker analysis. Nat Commun 2020; 11:4405. [PMID: 32879320 PMCID: PMC7467936 DOI: 10.1038/s41467-020-18238-6] [Citation(s) in RCA: 62] [Impact Index Per Article: 15.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2020] [Accepted: 08/12/2020] [Indexed: 11/08/2022] Open
Abstract
Active biofluid management is central to the realization of wearable bioanalytical platforms that are poised to autonomously provide frequent, real-time, and accurate measures of biomarkers in epidermally-retrievable biofluids (e.g., sweat). Accordingly, here, a programmable epidermal microfluidic valving system is devised, which is capable of biofluid sampling, routing, and compartmentalization for biomarker analysis. At its core, the system is a network of individually-addressable microheater-controlled thermo-responsive hydrogel valves, augmented with a pressure regulation mechanism to accommodate pressure built-up, when interfacing sweat glands. The active biofluid control achieved by this system is harnessed to create unprecedented wearable bioanalytical capabilities at both the sensor level (decoupling the confounding influence of flow rate variability on sensor response) and the system level (facilitating context-based sensor selection/protection). Through integration with a wireless flexible printed circuit board and seamless bilateral communication with consumer electronics (e.g., smartwatch), contextually-relevant (scheduled/on-demand) on-body biomarker data acquisition/display was achieved. Wearable biosensors have been used successfully for biomarker analysis, however, a lack of control over sampling limits applications. Here, the authors report a programmable microfluidic valve to control flow rate, sampling times and allow for biofluid routing and compartmentalisation.
Collapse
|
48
|
Neethirajan S. Transforming the Adaptation Physiology of Farm Animals through Sensors. Animals (Basel) 2020; 10:E1512. [PMID: 32859060 PMCID: PMC7552204 DOI: 10.3390/ani10091512] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2020] [Revised: 08/23/2020] [Accepted: 08/25/2020] [Indexed: 12/20/2022] Open
Abstract
Despite recent scientific advancements, there is a gap in the use of technology to measure signals, behaviors, and processes of adaptation physiology of farm animals. Sensors present exciting opportunities for sustained, real-time, non-intrusive measurement of farm animal behavioral, mental, and physiological parameters with the integration of nanotechnology and instrumentation. This paper critically reviews the sensing technology and sensor data-based models used to explore biological systems such as animal behavior, energy metabolism, epidemiology, immunity, health, and animal reproduction. The use of sensor technology to assess physiological parameters can provide tremendous benefits and tools to overcome and minimize production losses while making positive contributions to animal welfare. Of course, sensor technology is not free from challenges; these devices are at times highly sensitive and prone to damage from dirt, dust, sunlight, color, fur, feathers, and environmental forces. Rural farmers unfamiliar with the technologies must be convinced and taught to use sensor-based technologies in farming and livestock management. While there is no doubt that demand will grow for non-invasive sensor-based technologies that require minimum contact with animals and can provide remote access to data, their true success lies in the acceptance of these technologies by the livestock industry.
Collapse
|
49
|
Zhang Y, Chen Y, Huang J, Liu Y, Peng J, Chen S, Song K, Ouyang X, Cheng H, Wang X. Skin-interfaced microfluidic devices with one-opening chambers and hydrophobic valves for sweat collection and analysis. LAB ON A CHIP 2020; 20:2635-2645. [PMID: 32555915 DOI: 10.1039/d0lc00400f] [Citation(s) in RCA: 39] [Impact Index Per Article: 9.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/24/2023]
Abstract
Soft, skin-interfaced microfluidic platforms are capable of capturing, storing, and assessing sweat chemistry and total sweat loss, which provides essential insight into human physiological health. However, sweat loss from the outlet of the microfluidic devices often leads to deviation of the measured concentration of the biomarker or electrolyte from the actual value. Here, we introduce hydrophobic valves at the junction of the chamber and the microfluidic channel as a new chamber design to reduce sweat evaporation. Because the advancing front of the liquid in the hydrophilic microchannel is blocked by the hydrophobic valve, the fluid flows into the chambers, forms the initial meniscus, and completely fills the chambers along the initial meniscus. Fluid dynamic modeling and numerical simulations provide critical insights into the sweat sampling mechanism into the chambers. With significantly reduced evaporation and contamination, the sweat sample can be easily stored for a long time for later analysis when in situ analysis is limited. Additionally, the design with multiple chambers can allow sequential generation of sweat collection at different times for long-term analysis. The in situ real-time measurements of the sweat loss and pH value analysis from the human subject demonstrate the practical utility of the devices in collecting, storing, and analyzing the sweat generated from sweat glands on the skin.
Collapse
Affiliation(s)
- Yingxue Zhang
- School of Materials Science and Engineering, Xiangtan University, Xiangtan, Hunan 411105, China.
| | | | | | | | | | | | | | | | | | | |
Collapse
|
50
|
Qiao L, Benzigar MR, Subramony JA, Lovell NH, Liu G. Advances in Sweat Wearables: Sample Extraction, Real-Time Biosensing, and Flexible Platforms. ACS APPLIED MATERIALS & INTERFACES 2020; 12:34337-34361. [PMID: 32579332 DOI: 10.1021/acsami.0c07614] [Citation(s) in RCA: 57] [Impact Index Per Article: 14.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/24/2023]
Abstract
Wearable biosensors for sweat-based analysis are gaining wide attention due to their potential use in personal health monitoring. Flexible wearable devices enable sweat analysis at the molecular level, facilitating noninvasive monitoring of physiological states via real-time monitoring of chemical biomarkers. Advances in sweat extraction technology, real-time biosensors, stretchable materials, device integration, and wireless digital technologies have led to the development of wearable sweat-biosensing devices that are light, flexible, comfortable, aesthetic, affordable, and informative. Herein, we summarize recent advances of sweat wearables from the aspects of sweat extraction, fabrication of stretchable biomaterials, and design of biosensing modules to enable continuous biochemical monitoring, which are essential for a biosensing device. Key chemical components of sweat, sweat capture methodologies, and considerations of flexible substrates for integrating real-time biosensors with electronics to bring innovations in the art of wearables are elaborated. The strategies and challenges involved in improving the wearable biosensing performance and the perspectives for designing sweat-based wearable biosensing devices are discussed.
Collapse
Affiliation(s)
- Laicong Qiao
- Graduate School of Biomedical Engineering, University of New South Wales, Sydney, NSW 2052, Australia
| | - Mercy Rose Benzigar
- Graduate School of Biomedical Engineering, University of New South Wales, Sydney, NSW 2052, Australia
| | - J Anand Subramony
- Antibody Discovery and Protein Engineering, BioPharmaceuticals R&D, AstraZeneca, Gaithersburg, Maryland 20878, United States
| | - Nigel H Lovell
- Graduate School of Biomedical Engineering, University of New South Wales, Sydney, NSW 2052, Australia
| | - Guozhen Liu
- Graduate School of Biomedical Engineering, University of New South Wales, Sydney, NSW 2052, Australia
| |
Collapse
|