1
|
Peng Z, Wang Y, Wu X, Yang S, Du X, Xu X, Hu C, Liu W, Zhu Y, Dong B, Pan J, Bao Q, Qian K, Dong L, Xue W. Identifying High Gleason Score Prostate Cancer by Prostate Fluid Metabolic Fingerprint-Based Multi-Modal Recognition. SMALL METHODS 2024:e2301684. [PMID: 38258603 DOI: 10.1002/smtd.202301684] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/05/2023] [Revised: 01/09/2024] [Indexed: 01/24/2024]
Abstract
Prostate cancer (PCa) is the second most common cancer in males worldwide. The Gleason scoring system, which classifies the pathological growth pattern of cancer, is considered one of the most important prognostic factors for PCa. Compared to indolent PCa, PCa with high Gleason score (h-GS PCa, GS ≥ 8) has greater clinical significance due to its high aggressiveness and poor prognosis. It is crucial to establish a rapid, non-invasive diagnostic modality to decipher patients with h-GS PCa as early as possible. In this study, ferric nanoparticle-assisted laser desorption/ionization mass spectrometry (FeNPALDI-MS) to extract prostate fluid metabolic fingerprint (PSF-MF) is employed and combined with the clinical features of patients, such as prostate-specific antigen (PSA), to establish a multi-modal diagnosis assisted by machine learning. This approach yields an impressive area under the curve (AUC) of 0.87 to diagnose patients with h-GS, surpassing the results of single-modal diagnosis using only PSF-MF or PSA, respectively. Additionally, using various screening methods, six key metabolites that exhibit greater diagnostic efficacy (AUC = 0.96) are identified. These findings also provide insights into related metabolic pathways, which may provide valuable information for further elucidation of the pathological mechanisms underlying h-GS PCa.
Collapse
Affiliation(s)
- Zehong Peng
- Department of Urology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, 160 Pujian Road, Shanghai, 200127, P. R. China
| | - Yuning Wang
- State Key Laboratory of Systems Medicine for Cancer, School of Biomedical Engineering and Institute of Medical Robotics, Shanghai Jiao Tong University, Shanghai, 200030, P. R. China
| | - Xinrui Wu
- Department of Urology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, 160 Pujian Road, Shanghai, 200127, P. R. China
| | - Shouzhi Yang
- State Key Laboratory of Systems Medicine for Cancer, School of Biomedical Engineering and Institute of Medical Robotics, Shanghai Jiao Tong University, Shanghai, 200030, P. R. China
| | - Xinxing Du
- Department of Urology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, 160 Pujian Road, Shanghai, 200127, P. R. China
| | - Xiaoyu Xu
- State Key Laboratory of Systems Medicine for Cancer, School of Biomedical Engineering and Institute of Medical Robotics, Shanghai Jiao Tong University, Shanghai, 200030, P. R. China
| | - Cong Hu
- Department of Urology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, 160 Pujian Road, Shanghai, 200127, P. R. China
| | - Wanshan Liu
- State Key Laboratory of Systems Medicine for Cancer, School of Biomedical Engineering and Institute of Medical Robotics, Shanghai Jiao Tong University, Shanghai, 200030, P. R. China
| | - Yinjie Zhu
- Department of Urology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, 160 Pujian Road, Shanghai, 200127, P. R. China
| | - Baijun Dong
- Department of Urology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, 160 Pujian Road, Shanghai, 200127, P. R. China
| | - Jiahua Pan
- Department of Urology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, 160 Pujian Road, Shanghai, 200127, P. R. China
| | - Qingui Bao
- Fosun Diagnostics (Shanghai) Co., Ltd., No. 830, Chengyin Road, Baoshan, Shanghai, 200435, P. R. China
| | - Kun Qian
- State Key Laboratory of Systems Medicine for Cancer, School of Biomedical Engineering and Institute of Medical Robotics, Shanghai Jiao Tong University, Shanghai, 200030, P. R. China
| | - Liang Dong
- Department of Urology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, 160 Pujian Road, Shanghai, 200127, P. R. China
| | - Wei Xue
- Department of Urology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, 160 Pujian Road, Shanghai, 200127, P. R. China
| |
Collapse
|
2
|
Wang X, Xia B, Hao Z, Kang H, Liu W, Chen Y, Jiang Q, Liu J, Gou J, Dong B, Wee ATS, Liu Y, Wei D. A closed-loop catalytic nanoreactor system on a transistor. SCIENCE ADVANCES 2023; 9:eadj0839. [PMID: 37729411 PMCID: PMC10511191 DOI: 10.1126/sciadv.adj0839] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/05/2023] [Accepted: 08/17/2023] [Indexed: 09/22/2023]
Abstract
Precision chemistry demands miniaturized catalytic systems for sophisticated reactions with well-defined pathways. An ideal solution is to construct a nanoreactor system functioning as a chemistry laboratory to execute a full chemical process with molecular precision. However, existing nanoscale catalytic systems fail to in situ control reaction kinetics in a closed-loop manner, lacking the precision toward ultimate reaction efficiency. We find an inter-electrochemical gating effect when operating DNA framework-constructed enzyme cascade nanoreactors on a transistor, enabling in situ closed-loop reaction monitoring and modulation electrically. Therefore, a comprehensive system is developed, encapsulating nanoreactors, analyzers, and modulators, where the gate potential modulates enzyme activity and switches cascade reaction "ON" or "OFF." Such electric field-effect property enhances catalytic efficiency of enzyme by 343.4-fold and enables sensitive sarcosine assay for prostate cancer diagnoses, with a limit of detection five orders of magnitude lower than methodologies in clinical laboratory. By coupling with solid-state electronics, this work provides a perspective to construct intelligent nano-systems for precision chemistry.
Collapse
Affiliation(s)
- Xuejun Wang
- State Key Laboratory of Molecular Engineering of Polymers, Fudan University, Shanghai 200433, China
- Department of Macromolecular Science, Fudan University, Shanghai 200433, China
- Laboratory of Molecular Materials and Devices, Fudan University, Shanghai 200433, China
| | - Binbin Xia
- Institute of Molecular Medicine, Department of Urology, Department of Nuclear Medicine, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai 200127, China
| | - Zhuang Hao
- School of Mechanical Engineering and Automation, Beihang University, Beijing 100191, China
- School of Mechatronics Engineering, Harbin Institute of Technology, Harbin 150001, China
| | - Hua Kang
- State Key Laboratory of Molecular Engineering of Polymers, Fudan University, Shanghai 200433, China
- Department of Macromolecular Science, Fudan University, Shanghai 200433, China
- Laboratory of Molecular Materials and Devices, Fudan University, Shanghai 200433, China
| | - Wentao Liu
- State Key Laboratory of Molecular Engineering of Polymers, Fudan University, Shanghai 200433, China
- Department of Macromolecular Science, Fudan University, Shanghai 200433, China
- Laboratory of Molecular Materials and Devices, Fudan University, Shanghai 200433, China
| | - Yiheng Chen
- State Key Laboratory of Molecular Engineering of Polymers, Fudan University, Shanghai 200433, China
- Department of Macromolecular Science, Fudan University, Shanghai 200433, China
- Laboratory of Molecular Materials and Devices, Fudan University, Shanghai 200433, China
| | - Qunfeng Jiang
- Department of Physics, Fudan University, Shanghai 200433, China
| | - Jingyuan Liu
- Global Clinical Operation, Johnson & Johnson, Shanghai 200233, China
| | - Jian Gou
- Department of Physics, National University of Singapore, Singapore 117542, Singapore
| | - Baijun Dong
- Institute of Molecular Medicine, Department of Urology, Department of Nuclear Medicine, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai 200127, China
| | - Andrew Thye Shen Wee
- Department of Physics, National University of Singapore, Singapore 117542, Singapore
| | - Yunqi Liu
- Laboratory of Molecular Materials and Devices, Fudan University, Shanghai 200433, China
| | - Dacheng Wei
- State Key Laboratory of Molecular Engineering of Polymers, Fudan University, Shanghai 200433, China
- Department of Macromolecular Science, Fudan University, Shanghai 200433, China
- Laboratory of Molecular Materials and Devices, Fudan University, Shanghai 200433, China
| |
Collapse
|
3
|
He Z, Huang J, Shen W, Lei X, Zhang Y, Zhu L, Shen X, Zhang D, Yu D, Zhou M. A Paper-Based Fluorescent Sensor for Rapid Early Screening of Oral Squamous Cell Carcinoma. ACS APPLIED MATERIALS & INTERFACES 2023; 15:24913-24922. [PMID: 37163749 DOI: 10.1021/acsami.3c03545] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/12/2023]
Abstract
Various types of sensors play an irreplaceable role in the detection of biomarkers, but their high cost and complicated operation make it difficult to benefit ordinary people. Herein, we develop a low-cost, double-layered, paper-based fluorescent sensor (CP/HQ) structurally consisting of the upper reaction layer loaded with two oxidases (lactate oxidase and choline oxidase) and the bottom fluorescent layer that physically associates with the porphine-grafted composite fluorescent polymer colloids (PF-PDMTP/HQ). Based on the dramatic and rapid fluorescence decrease of porphine induced by the oxidation between saliva and oxidases and subsequent fluorescence resonance energy transfer from oxidized hydroquinone, the resultant fluorescent paper sensor enables us to achieve visual detection of OSCC, which was further recognized by smartphone scanning as the grayscale variation. It was found that the linear sensing range of grayscale value are 10-200 μM for lactic acid and 10-100 μM for choline, with LODs of 5.7 and 8.9 μM, respectively. More importantly, the sensor can achieve a powerful detection capability comparable to that of high-performance liquid chromatography (HPLC) in clinical settings with simple operation, demonstrating its great application potential. Our proposed sensor not only improves the accuracy of OSCC diagnosis but also provides a valuable attempt for the device modification of polymer-sensing systems and the development of non-invasive and easy-to-operate disease screening methods.
Collapse
Affiliation(s)
- Zejian He
- College of Materials Science and Engineering, Zhejiang University of Technology, Zhejiang 310014, P. R. China
| | - Jianyao Huang
- Department of Stomatology Surgery, The Fourth Affiliated Hospital, Zhejiang University School of Medicine, Zhejiang 322000, P. R. China
| | - Wenyi Shen
- Department of Oral and Maxillofacial Surgery, The First Affiliated Hospital, Zhejiang University School of Medicine, Zhejiang 310003, P. R. China
| | - Xiaoyue Lei
- Department of Oral and Maxillofacial Surgery, The First Affiliated Hospital, Zhejiang University School of Medicine, Zhejiang 310003, P. R. China
| | - Yifan Zhang
- College of Materials Science and Engineering, Zhejiang University of Technology, Zhejiang 310014, P. R. China
| | - Liangliang Zhu
- College of Materials Science and Engineering, Zhejiang University of Technology, Zhejiang 310014, P. R. China
| | - Xinyi Shen
- College of Materials Science and Engineering, Zhejiang University of Technology, Zhejiang 310014, P. R. China
| | - Dong Zhang
- The Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, Atlanta, Georgia 30332, United States
| | - Dan Yu
- Department of Oral and Maxillofacial Surgery, The First Affiliated Hospital, Zhejiang University School of Medicine, Zhejiang 310003, P. R. China
| | - Mi Zhou
- College of Materials Science and Engineering, Zhejiang University of Technology, Zhejiang 310014, P. R. China
| |
Collapse
|
4
|
Wildman E, Mickiewicz B, Vogel HJ, Thompson GC. Metabolomics in pediatric lower respiratory tract infections and sepsis: a literature review. Pediatr Res 2023; 93:492-502. [PMID: 35778499 PMCID: PMC9247944 DOI: 10.1038/s41390-022-02162-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/05/2022] [Revised: 04/19/2022] [Accepted: 05/23/2022] [Indexed: 11/09/2022]
Abstract
Lower respiratory tract infections (LRTIs) are a leading cause of morbidity and mortality in children. The ability of healthcare providers to diagnose and prognose LRTIs in the pediatric population remains a challenge, as children can present with similar clinical features regardless of the underlying pathogen or ultimate severity. Metabolomics, the large-scale analysis of metabolites and metabolic pathways offers new tools and insights that may aid in diagnosing and predicting the outcomes of LRTIs in children. This review highlights the latest literature on the clinical utility of metabolomics in providing care for children with bronchiolitis, pneumonia, COVID-19, and sepsis. IMPACT: This article summarizes current metabolomics approaches to diagnosing and predicting the course of pediatric lower respiratory infections. This article highlights the limitations to current metabolomics research and highlights future directions for the field.
Collapse
Affiliation(s)
- Emily Wildman
- Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
| | - Beata Mickiewicz
- Department of Pediatrics, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
| | - Hans J Vogel
- Bio-NMR Centre, Department of Biological Sciences, University of Calgary, Calgary, AB, Canada
| | - Graham C Thompson
- Department of Pediatrics, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada. .,Department of Emergency Medicine, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada.
| |
Collapse
|
5
|
Kling A, Dirscherl L, Dittrich PS. Laser-assisted protein micropatterning in a thermoplastic device for multiplexed prostate cancer biomarker detection. LAB ON A CHIP 2023; 23:534-541. [PMID: 36642981 PMCID: PMC9890490 DOI: 10.1039/d2lc00840h] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/09/2022] [Accepted: 12/28/2022] [Indexed: 06/17/2023]
Abstract
Immunoassays are frequently used for analysis of protein biomarkers. The specificity of antibodies enables parallel analysis of several target proteins, at the same time. However, the implementation of such multiplexed assays into cost-efficient and mass-producible thermoplastic microfluidic platforms remains difficult due to the lack of suitable immobilization strategies for different capture antibodies. Here, we introduce and characterize a method to functionalize the surfaces of microfluidic devices manufactured in the thermoplastic material cyclic olefin copolymer (COC) by a rapid prototyping process. A laser-induced immobilization process enables the surface patterning of anchor biomolecules at a spatial resolution of 5 μm. We employ the method for the analysis of prostate cancer associated biomarkers by competitive immunoassays in a microchannel with a total volume of 320 nL, and successfully detected the proteins PSA, CRP, CEA and IGF-1 at clinically relevant concentrations. Finally, we also demonstrate the simultaneous analysis of three markers spiked into undiluted human plasma. In conclusion, this method opens the way to transfer multiplexed immunoassays into mass-producible microfluidic platforms that are suitable for point of care applications.
Collapse
Affiliation(s)
- André Kling
- Department of Biosystems Science and Engineering, ETH Zurich, Mattenstrasse 26, CH-4058 Basel, Switzerland.
| | - Lorin Dirscherl
- Department of Biosystems Science and Engineering, ETH Zurich, Mattenstrasse 26, CH-4058 Basel, Switzerland.
| | - Petra S Dittrich
- Department of Biosystems Science and Engineering, ETH Zurich, Mattenstrasse 26, CH-4058 Basel, Switzerland.
| |
Collapse
|
6
|
Hu C, Annese VF, Barrett MP, Cumming DRS. Point-of-Care Platform for Diagnosis of Venous Thrombosis by Simultaneous Detection of Thrombin Generation and D-Dimer in Human Plasma. Anal Chem 2022; 95:1115-1122. [PMID: 36544272 PMCID: PMC9850404 DOI: 10.1021/acs.analchem.2c03819] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
Venous thromboembolism (VTE) refers to a blood clot that starts in a vein. The risk of developing VTE is highest after major surgery or a major injury, or when someone has heart failure, cancer, or infectious disease (e.g., COVID-19). Without prompt treatment to break up clots and prevent more from forming, VTE can restrict or block blood flow and oxygen, which can damage the body tissue or organs. VTE can occur without any obvious signs, and imaging technologies are used. Alternatively rapid measurement of thrombin generation (TG) and D-dimer could be used to make a fast, portable, and easy-to-use diagnostic platform for VTE. Here, we have demonstrated a diagnostic sensing platform with the ability of simultaneous detection of TG and D-dimer in human plasma. Modifications were made to both the assay protocols to eliminate the need for sample dilution and incubation steps. Using a substantially reduced sample volume, the measurement results show comparable performance to the gold standard method. Our platform is able to deliver accurate and cost-effective results for both TG and D-dimer assays when using undiluted plasma in under 15 min. The assays presented are therefore a good candidate technology for use in a point-of-care platform to diagnose VTE.
Collapse
Affiliation(s)
- Chunxiao Hu
- Division
of Electronics and Nanoscale Engineering, James Watt School of Engineering, University of Glasgow, Glasgow G12 8LT, U.K.,
| | - Valerio F. Annese
- Division
of Electronics and Nanoscale Engineering, James Watt School of Engineering, University of Glasgow, Glasgow G12 8LT, U.K.
| | - Michael P. Barrett
- Wellcome
Centre for Molecular Parasitology, Institute of Infection, Immunity
and Inflammation, University of Glasgow, Glasgow G12 8TA, U.K.
| | - David R. S. Cumming
- Division
of Electronics and Nanoscale Engineering, James Watt School of Engineering, University of Glasgow, Glasgow G12 8LT, U.K.
| |
Collapse
|
7
|
Annese VF, Hu C. Integrating Microfluidics and Electronics in Point-of-Care Diagnostics: Current and Future Challenges. MICROMACHINES 2022; 13:1923. [PMID: 36363944 PMCID: PMC9699090 DOI: 10.3390/mi13111923] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/19/2022] [Revised: 11/01/2022] [Accepted: 11/03/2022] [Indexed: 06/16/2023]
Abstract
Point-of-Care (POC) diagnostics have gained increasing attention in recent years due to its numerous advantages over conventional diagnostic approaches. As proven during the recent COVID-19 pandemic, the rapidity and portability of POC testing improves the efficiency of healthcare services and reduces the burden on healthcare providers. There are hundreds of thousands of different applications for POC diagnostics, however, the ultimate requirement for the test is the same: sample-in and result-out. Many technologies have been implemented, such as microfluidics, semiconductors, and nanostructure, to achieve this end. The development of even more powerful POC systems was also enabled by merging multiple technologies into the same system. One successful example is the integration of microfluidics and electronics in POC diagnostics, which has simplified the sample handling process, reduced sample usage, and reduced the cost of the test. This review will analyze the current development of the POC diagnostic systems with the integration of microfluidics and electronics and discuss the future challenges and perspectives that researchers might have.
Collapse
Affiliation(s)
- Valerio Francesco Annese
- Center for Nano Science and Technology@PoliMi, Istituto Italiano di Tecnologia, 20133 Milan, Italy
- James Watt School of Engineering, University of Glasgow, Glasgow G12 8QQ, UK
| | - Chunxiao Hu
- James Watt School of Engineering, University of Glasgow, Glasgow G12 8QQ, UK
| |
Collapse
|
8
|
Hu C, Annese VF, Giagkoulovits C, Barrett MP, Cumming DRS. Factor VIII companion diagnostic for haemophilia. Front Bioeng Biotechnol 2022; 10:1006600. [PMID: 36277382 PMCID: PMC9579283 DOI: 10.3389/fbioe.2022.1006600] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2022] [Accepted: 09/20/2022] [Indexed: 11/13/2022] Open
Abstract
Haemophilia is predominantly an inherited disorder that impairs the body’s ability to make blood clots, a process needed to stop bleeding. The condition of this disease is complex to manage, but many patients do so through home therapy and often only see their core multidisciplinary healthcare team annually. There is an increasing need for patients to be able to monitor their condition efficiently at home while staying connected with their healthcare team. As a consequence, a low-cost handheld self-monitoring solution for clotting factor is required. Here we have demonstrated a suitable one-step Factor VIII companion diagnostic sensing approach based on a chromogenic assay for haemophilia A. The results show comparable performance to the gold standard method. Our approach is able to deliver accurate cost-effective results in under 5 min from undiluted human plasma. It has the potential to be able to reduce the human and monetary costs of over- or under-medication for haemophiliacs.
Collapse
Affiliation(s)
- Chunxiao Hu
- Division of Electronics and Nanoscale Engineering, School of Engineering, University of Glasgow, Glasgow, United Kingdom
- *Correspondence: Chunxiao Hu,
| | - Valerio F. Annese
- Division of Electronics and Nanoscale Engineering, School of Engineering, University of Glasgow, Glasgow, United Kingdom
| | - Christos Giagkoulovits
- Division of Electronics and Nanoscale Engineering, School of Engineering, University of Glasgow, Glasgow, United Kingdom
| | - Michael P. Barrett
- Wellcome Centre for Molecular Parasitology, Institute of Infection, Immunity, and Inflammation, University of Glasgow, Glasgow, United Kingdom
| | - David R. S. Cumming
- Division of Electronics and Nanoscale Engineering, School of Engineering, University of Glasgow, Glasgow, United Kingdom
| |
Collapse
|
9
|
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: 11] [Impact Index Per Article: 5.5] [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
|
10
|
A Hybrid Microfluidic Electronic Sensing Platform for Life Science Applications. MICROMACHINES 2022; 13:mi13030425. [PMID: 35334717 PMCID: PMC8950014 DOI: 10.3390/mi13030425] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/11/2022] [Revised: 03/03/2022] [Accepted: 03/07/2022] [Indexed: 11/16/2022]
Abstract
This paper presents a novel hybrid microfluidic electronic sensing platform, featuring an electronic sensor incorporated with a microfluidic structure for life science applications. This sensor with a large sensing area of 0.7 mm2 is implemented through a foundry process called Open-Gate Junction FET (OG-JFET). The proposed OG-JFET sensor with a back gate enables the charge by directly introducing the biological and chemical samples on the top of the device. This paper puts forward the design and implementation of a PDMS microfluidic structure integrated with an OG-JFET chip to direct the samples toward the sensing site. At the same time, the sensor’s gain is controlled with a back gate electrical voltage. Herein, we demonstrate and discuss the functionality and applicability of the proposed sensing platform using a chemical solution with different pH values. Additionally, we introduce a mathematical model to describe the charge sensitivity of the OG-JFET sensor. Based on the results, the maximum value of transconductance gain of the sensor is ~1 mA/V at Vgs = 0, which is decreased to ~0.42 mA/V at Vgs = 1, all in Vds = 5. Furthermore, the variation of the back-gate voltage from 1.0 V to 0.0 V increases the sensitivity from ~40 mV/pH to ~55 mV/pH. As per the experimental and simulation results and discussions in this paper, the proposed hybrid microfluidic OG-JFET sensor is a reliable and high-precision measurement platform for various life science and industrial applications.
Collapse
|
11
|
Annese VF, Giagkoulovits C, Hu C, Al-Rawhani MA, Grant J, Patil SB, Cumming DRS. Micromolar Metabolite Measurement in an Electronically Multiplexed Format. IEEE Trans Biomed Eng 2022; 69:2715-2722. [PMID: 35104208 DOI: 10.1109/tbme.2022.3147855] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Abstract
The detection of metabolites such as choline in blood are important in clinical care for patients with cancer and cardiovascular disease. Choline is only present in human blood at low concentrations hence accurate measurement in an affordable point-of-care format is extremely challenging. Integration of microfluidics on to complementary metal-oxide semiconductor (CMOS) technology has the potential to enable advanced sensing technologies with extremely low limit of detection that are well suited to multiple clinical metabolite measurements. Although CMOS and microfluidics are individually mature technologies, their integration has presented challenges that we overcome in a novel, cost-effective, single-step process. To demonstrate the process, we present the microfluidic integration of a metabolomics-on-CMOS point-of-care platform with four capillary microfluidic channels on top of a CMOS optical sensor array. The fabricated device was characterised to verify the required structural profile, mechanical strength, optical spectra, and fluid flow. As a proof of concept, we used the device for the in-vitro quantification of choline in human blood plasma with a limit of detection of 3.2 M and a resolution of 1.6 M.
Collapse
|