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Seesaard T, Kamjornkittikoon K, Wongchoosuk C. A comprehensive review on advancements in sensors for air pollution applications. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 951:175696. [PMID: 39197792 DOI: 10.1016/j.scitotenv.2024.175696] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/22/2024] [Revised: 08/18/2024] [Accepted: 08/20/2024] [Indexed: 09/01/2024]
Abstract
Air pollution, originating from both natural and human-made sources, presents significant threats to human health and the environment. This review explores the latest technological advancements in air quality sensors focusing on their applications in monitoring a wide range of pollution sources from volcanic eruptions and wildfires to industrial emissions, transportation, agricultural activities and indoor air quality. The review categorizes these sources and examines the operational principles, system architectures, and effectiveness of various air quality monitoring instruments including low-cost sensors, gas analyzers, weather stations, passive sampling devices and remote sensing technologies such as satellite and LiDAR. Key insights include the rapid evolution of sensor technology driven by the need for more accurate, real-time monitoring solutions that are both cost-effective and widely accessible. Despite significant advancements, challenges such as sensor calibration, standardization, and data integration remain critical for ensuring reliable air quality assessments. The manuscript concludes by emphasizing the need for continued innovation and the integration of advanced sensor technologies with regulatory frameworks to enhance environmental management and public health protection.
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Affiliation(s)
- Thara Seesaard
- Department of Physics, Faculty of Science and Technology, Kanchanaburi Rajabhat University, Kanchanaburi 71190, Thailand
| | - Kamonrat Kamjornkittikoon
- Department of Mathematics and Statistics, Faculty of Science and Technology, Kanchanaburi Rajabhat University, Kanchanaburi 71190, Thailand
| | - Chatchawal Wongchoosuk
- Department of Physics, Faculty of Science, Kasetsart University, Bangkok 10900, Thailand.
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2
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Wu JK, Wu EK, Kim NY, Kim ES, Gu XF, Liang JG. Operation Temperature Effects on a Microwave Gas Sensor with and without Sensitive Material. ACS Sens 2024. [PMID: 39166952 DOI: 10.1021/acssensors.4c01108] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/23/2024]
Abstract
Microwave gas sensors have garnered attention for their high sensitivity and selectivity in the detection of volatile organic compounds (VOCs). However, traditional gas sensors generally rely on sensitive materials that degrade over time and are easily affected by the environment, compromising their stability and accuracy. This study proposes a microwave VOC gas sensor based on the condensation effect. The sensor adopts a novel design without sensitive materials, utilizing the condensation effect to detect acetone gas. The sensor system consists of a microwave sensor and a temperature control device. As the sensor temperature is lowered below the boiling point of acetone, the condensation of acetone gas on the sensor surface is achieved, enabling accurate detection of acetone gas. Experimental results indicate that the accumulated amount of acetone on the sensor surface is positively correlated with its response, with the maximum response of 3000 ppm acetone gas reaching 0.34 dB. Additionally, this study investigated the detection mechanism of the sensor after adding the sensitive material MXene and compared the performance of the sensor at different temperatures (-10 °C, 0 °C, and 60 °C). The results show that at -10 °C the sensor mainly captures acetone through physical adsorption, while at 25 and 60 °C, it primarily responds through chemical adsorption, with a maximum response of 0.29 dB. The VOC sensor based on the condensation effect without sensitive materials not only achieves the same sensitivity as traditional microwave sensors but also demonstrates stronger stability and anti-interference capabilities.
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Affiliation(s)
- Jia-Kang Wu
- School of Integrated Circuits, Jiangnan University, Wuxi 214122, China
| | - En-Kang Wu
- School of Integrated Circuits, Jiangnan University, Wuxi 214122, China
| | - Nam-Young Kim
- RFIC Center, Kwangwoon University, Seoul 139-701, Republic of Korea
| | - Eun-Seong Kim
- RFIC Center, Kwangwoon University, Seoul 139-701, Republic of Korea
| | - Xiao-Feng Gu
- School of Integrated Circuits, Jiangnan University, Wuxi 214122, China
| | - Jun-Ge Liang
- School of Integrated Circuits, Jiangnan University, Wuxi 214122, China
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3
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Li J, Wang H, Luo Y, Zhou Z, Zhang H, Chen H, Tao K, Liu C, Zeng L, Huo F, Wu J. Design of AI-Enhanced and Hardware-Supported Multimodal E-Skin for Environmental Object Recognition and Wireless Toxic Gas Alarm. NANO-MICRO LETTERS 2024; 16:256. [PMID: 39073674 PMCID: PMC11286924 DOI: 10.1007/s40820-024-01466-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/26/2024] [Accepted: 06/16/2024] [Indexed: 07/30/2024]
Abstract
Post-earthquake rescue missions are full of challenges due to the unstable structure of ruins and successive aftershocks. Most of the current rescue robots lack the ability to interact with environments, leading to low rescue efficiency. The multimodal electronic skin (e-skin) proposed not only reproduces the pressure, temperature, and humidity sensing capabilities of natural skin but also develops sensing functions beyond it-perceiving object proximity and NO2 gas. Its multilayer stacked structure based on Ecoflex and organohydrogel endows the e-skin with mechanical properties similar to natural skin. Rescue robots integrated with multimodal e-skin and artificial intelligence (AI) algorithms show strong environmental perception capabilities and can accurately distinguish objects and identify human limbs through grasping, laying the foundation for automated post-earthquake rescue. Besides, the combination of e-skin and NO2 wireless alarm circuits allows robots to sense toxic gases in the environment in real time, thereby adopting appropriate measures to protect trapped people from the toxic environment. Multimodal e-skin powered by AI algorithms and hardware circuits exhibits powerful environmental perception and information processing capabilities, which, as an interface for interaction with the physical world, dramatically expands intelligent robots' application scenarios.
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Affiliation(s)
- Jianye Li
- State Key Laboratory of Optoelectronic Materials and Technologies and the Guangdong Province Key Laboratory of Display Material and Technology, School of Electronics and Information Technology, Sun Yat-Sen University, Guangzhou, 510275, People's Republic of China
- State Key Laboratory of Transducer Technology, Shanghai, 200050, People's Republic of China
| | - Hao Wang
- State Key Laboratory of Optoelectronic Materials and Technologies and the Guangdong Province Key Laboratory of Display Material and Technology, School of Electronics and Information Technology, Sun Yat-Sen University, Guangzhou, 510275, People's Republic of China
| | - Yibing Luo
- State Key Laboratory of Optoelectronic Materials and Technologies and the Guangdong Province Key Laboratory of Display Material and Technology, School of Electronics and Information Technology, Sun Yat-Sen University, Guangzhou, 510275, People's Republic of China
| | - Zijing Zhou
- State Key Laboratory of Optoelectronic Materials and Technologies and the Guangdong Province Key Laboratory of Display Material and Technology, School of Electronics and Information Technology, Sun Yat-Sen University, Guangzhou, 510275, People's Republic of China
| | - He Zhang
- Guangdong Provincial Key Laboratory of Technique and Equipment for Macromolecular Advanced Manufacturing, Guangzhou, 510641, People's Republic of China
| | - Huizhi Chen
- Guangdong Provincial Key Laboratory of Research and Development of Natural Drugs and School of Pharmacy, Guangdong Medical University, Dongguan, 523808, People's Republic of China
- The First Dongguan Affiliated Hospital, Guangdong Medical University, Dongguan, 523808, People's Republic of China
| | - Kai Tao
- Ministry of Education Key Laboratory of Micro and Nano Systems for Aerospace, School of Mechanical Engineering, Northwestern Polytechnical University, Xi'an, 710072, People's Republic of China.
- Research & Development Institute of Northwestern Polytechnical University in Shenzhen, Shenzhen, 518063, People's Republic of China.
| | - Chuan Liu
- State Key Laboratory of Optoelectronic Materials and Technologies and the Guangdong Province Key Laboratory of Display Material and Technology, School of Electronics and Information Technology, Sun Yat-Sen University, Guangzhou, 510275, People's Republic of China
| | - Lingxing Zeng
- Engineering Research Center of Polymer Green Recycling of Ministry of Education, College of Environment and Resources, Fujian Normal University, Fuzhou, 350007, People's Republic of China
| | - Fengwei Huo
- The Institute of Flexible Electronics (IFE, Future Technologies), Xiamen University, Xiamen, 361005, People's Republic of China.
- Key Laboratory of Flexible Electronics (KLOFE), School of Flexible Electronics (Future Technologies), Nanjing Tech University, 30 South Puzhu Road, Nanjing, 211816, People's Republic of China.
| | - Jin Wu
- State Key Laboratory of Optoelectronic Materials and Technologies and the Guangdong Province Key Laboratory of Display Material and Technology, School of Electronics and Information Technology, Sun Yat-Sen University, Guangzhou, 510275, People's Republic of China.
- State Key Laboratory of Transducer Technology, Shanghai, 200050, People's Republic of China.
- Guangdong Provincial Key Laboratory of Technique and Equipment for Macromolecular Advanced Manufacturing, Guangzhou, 510641, People's Republic of China.
- State Key Laboratory of Polymer Materials Engineering, Sichuan University, Chengdu, 610065, People's Republic of China.
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4
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Ma Z, Wang W, Xiong Y, Long Y, Shao Q, Wu L, Wang J, Tian P, Khan AU, Yang W, Dong Y, Yin H, Tang H, Dai J, Tahir M, Liu X, He L. Carbon Micro/Nano Machining toward Miniaturized Device: Structural Engineering, Large-Scale Fabrication, and Performance Optimization. SMALL (WEINHEIM AN DER BERGSTRASSE, GERMANY) 2024:e2400179. [PMID: 39031523 DOI: 10.1002/smll.202400179] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/08/2024] [Revised: 07/03/2024] [Indexed: 07/22/2024]
Abstract
With the rapid development of micro/nano machining, there is an elevated demand for high-performance microdevices with high reliability and low cost. Due to their outstanding electrochemical, optical, electrical, and mechanical performance, carbon materials are extensively utilized in constructing microdevices for energy storage, sensing, and optoelectronics. Carbon micro/nano machining is fundamental in carbon-based intelligent microelectronics, multifunctional integrated microsystems, high-reliability portable/wearable consumer electronics, and portable medical diagnostic systems. Despite numerous reviews on carbon materials, a comprehensive overview is lacking that systematically encapsulates the development of high-performance microdevices based on carbon micro/nano structures, from structural design to manufacturing strategies and specific applications. This review focuses on the latest progress in carbon micro/nano machining toward miniaturized device, including structural engineering, large-scale fabrication, and performance optimization. Especially, the review targets an in-depth evaluation of carbon-based micro energy storage devices, microsensors, microactuators, miniaturized photoresponsive and electromagnetic interference shielding devices. Moreover, it highlights the challenges and opportunities in the large-scale manufacturing of carbon-based microdevices, aiming to spark further exciting research directions and application prospectives.
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Affiliation(s)
- Zeyu Ma
- School of Mechanical Engineering, State Key Laboratory of Intelligent Construction and Healthy Operation and Maintenance of Deep Underground Engineering, Sichuan University, Chengdu, 610065, P. R. China
| | - Wenwu Wang
- School of Mechanical Engineering, State Key Laboratory of Intelligent Construction and Healthy Operation and Maintenance of Deep Underground Engineering, Sichuan University, Chengdu, 610065, P. R. China
| | - Yibo Xiong
- School of Mechanical Engineering, State Key Laboratory of Intelligent Construction and Healthy Operation and Maintenance of Deep Underground Engineering, Sichuan University, Chengdu, 610065, P. R. China
| | - Yihao Long
- School of Mechanical Engineering, State Key Laboratory of Intelligent Construction and Healthy Operation and Maintenance of Deep Underground Engineering, Sichuan University, Chengdu, 610065, P. R. China
| | - Qi Shao
- School of Mechanical Engineering, State Key Laboratory of Intelligent Construction and Healthy Operation and Maintenance of Deep Underground Engineering, Sichuan University, Chengdu, 610065, P. R. China
| | - Leixin Wu
- School of Mechanical Engineering, State Key Laboratory of Intelligent Construction and Healthy Operation and Maintenance of Deep Underground Engineering, Sichuan University, Chengdu, 610065, P. R. China
| | - Jiangwang Wang
- School of Mechanical Engineering, State Key Laboratory of Intelligent Construction and Healthy Operation and Maintenance of Deep Underground Engineering, Sichuan University, Chengdu, 610065, P. R. China
| | - Peng Tian
- School of Mechanical Engineering, State Key Laboratory of Intelligent Construction and Healthy Operation and Maintenance of Deep Underground Engineering, Sichuan University, Chengdu, 610065, P. R. China
| | - Arif Ullah Khan
- School of Mechanical Engineering, State Key Laboratory of Intelligent Construction and Healthy Operation and Maintenance of Deep Underground Engineering, Sichuan University, Chengdu, 610065, P. R. China
| | - Wenhao Yang
- School of Mechanical Engineering, State Key Laboratory of Intelligent Construction and Healthy Operation and Maintenance of Deep Underground Engineering, Sichuan University, Chengdu, 610065, P. R. China
| | - Yixiao Dong
- Pritzker School of Molecular Engineering, University of Chicago, 5640 South Ellis Avenue, Chicago, IL, 60637, USA
| | - Hongbo Yin
- Department of Ophthalmology, West China Hospital, Sichuan University, Chengdu, 610041, P. R. China
| | - Hui Tang
- School of Materials and Energy, University of Electronic Science and Technology of China, Chengdu, 611731, P. R. China
| | - Jun Dai
- School of Mechatronical Engineering, Beijing Institute of Technology, Beijing, 100081, P. R. China
| | - Muhammad Tahir
- School of Mechanical Engineering, State Key Laboratory of Intelligent Construction and Healthy Operation and Maintenance of Deep Underground Engineering, Sichuan University, Chengdu, 610065, P. R. China
- School of Mechatronical Engineering, Beijing Institute of Technology, Beijing, 100081, P. R. China
| | - Xiaoyu Liu
- School of Mechanical Engineering, State Key Laboratory of Intelligent Construction and Healthy Operation and Maintenance of Deep Underground Engineering, Sichuan University, Chengdu, 610065, P. R. China
| | - Liang He
- School of Mechanical Engineering, State Key Laboratory of Intelligent Construction and Healthy Operation and Maintenance of Deep Underground Engineering, Sichuan University, Chengdu, 610065, P. R. China
- Med+X Center for Manufacturing, West China Hospital, Sichuan University, Chengdu, 610041, P. R. China
- Yibin Industrial Technology Research Institute of Sichuan University, Yibin R&D Park of Sichuan University, Yibin, 644005, P. R. China
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Wu P, Li Y, Yang A, Tan X, Chu J, Zhang Y, Yan Y, Tang J, Yuan H, Zhang X, Xiao S. Advances in 2D Materials Based Gas Sensors for Industrial Machine Olfactory Applications. ACS Sens 2024; 9:2728-2776. [PMID: 38828988 DOI: 10.1021/acssensors.4c00431] [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] [Indexed: 06/05/2024]
Abstract
The escalating development and improvement of gas sensing ability in industrial equipment, or "machine olfactory", propels the evolution of gas sensors toward enhanced sensitivity, selectivity, stability, power efficiency, cost-effectiveness, and longevity. Two-dimensional (2D) materials, distinguished by their atomic-thin profile, expansive specific surface area, remarkable mechanical strength, and surface tunability, hold significant potential for addressing the intricate challenges in gas sensing. However, a comprehensive review of 2D materials-based gas sensors for specific industrial applications is absent. This review delves into the recent advances in this field and highlights the potential applications in industrial machine olfaction. The main content encompasses industrial scenario characteristics, fundamental classification, enhancement methods, underlying mechanisms, and diverse gas sensing applications. Additionally, the challenges associated with transitioning 2D material gas sensors from laboratory development to industrialization and commercialization are addressed, and future-looking viewpoints on the evolution of next-generation intelligent gas sensory systems in the industrial sector are prospected.
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Affiliation(s)
- Peng Wu
- State Key Laboratory of Power Grid Environmental Protection, School of Electrical Engineering and Automation, Wuhan University, Wuhan, Hubei 430072, China
| | - Yi Li
- State Key Laboratory of Power Grid Environmental Protection, School of Electrical Engineering and Automation, Wuhan University, Wuhan, Hubei 430072, China
| | - Aijun Yang
- State Key Laboratory of Electrical Insulation and Power Equipment, Xi'an Jiaotong, No 28 XianNing West Road, Xi'an, Shanxi 710049, China
| | - Xiangyu Tan
- Electric Power Research Institute, Yunnan Power Grid Co., Ltd., Kunming, Yunnan 650217, China
| | - Jifeng Chu
- State Key Laboratory of Electrical Insulation and Power Equipment, Xi'an Jiaotong, No 28 XianNing West Road, Xi'an, Shanxi 710049, China
| | - Yifan Zhang
- State Key Laboratory of Power Grid Environmental Protection, School of Electrical Engineering and Automation, Wuhan University, Wuhan, Hubei 430072, China
| | - Yongxu Yan
- State Key Laboratory of Power Grid Environmental Protection, School of Electrical Engineering and Automation, Wuhan University, Wuhan, Hubei 430072, China
| | - Ju Tang
- State Key Laboratory of Power Grid Environmental Protection, School of Electrical Engineering and Automation, Wuhan University, Wuhan, Hubei 430072, China
| | - Hongye Yuan
- State Key Laboratory for Mechanical Behavior of Materials, Shaanxi International Research Center for Soft Matter, School of Materials Science and Engineering, Xi'an Jiaotong University, Xi'an, Shanxi 710049, China
| | - Xiaoxing Zhang
- Hubei Engineering Research Center for Safety Monitoring of New Energy and Power Grid Equipment, Hubei University of Technology, Wuhan, Hubei 430068, China
| | - Song Xiao
- State Key Laboratory of Power Grid Environmental Protection, School of Electrical Engineering and Automation, Wuhan University, Wuhan, Hubei 430072, China
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6
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Tran KN, Tran HNQ, Lim SY, Abell AD, Law CS, Santos A. Detection of Volatile Organic Compounds through Spectroscopic Signatures in Nanoporous Fabry-Pérot Optical Microcavities. ACS APPLIED MATERIALS & INTERFACES 2024. [PMID: 38706267 DOI: 10.1021/acsami.4c03804] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/07/2024]
Abstract
Increasingly complex modern gas-monitoring scenarios necessitate advanced sensing capabilities to detect and identify a diverse range of gases under varying conditions. There is a rising demand for individual sensors with multiple responses capable of recognizing gases, identifying components in mixtures, and providing stable responses. Inspired by gas sensors employing multivariable response principles, we develop a nanoporous anodic alumina high-order microcavity (NAA-HOμCV) gas sensor with multiple optical outputs for discriminative gas detection. The NAA-HOμCV architecture, formed by a Fabry-Pérot microcavity with distributed Bragg reflector (DBR) mirrors and an extended-length microcavity layer supporting multiple resonant modes, serves as an effective solid-state fingerprint platform for distinguishing volatile organic compound (VOC) gases. Our research reveals that the coupling strength of light into resonant modes and their evolution depend on the thickness of the DBR mirrors and the dimension of the microcavity layer, which allows us to optimize the discriminative sensing capability of the NAA-HOμCV sensor through structural engineering of the microcavity and photonic crystal mirrors. Gas-sensing experiments conducted on the NAA-HOμCV sensor demonstrate real-time discrimination between physiosorbed VOC gases (isopropanol, ethanol, or acetone) in reversible gas sensing. It also achieves superior ppb-level sensing in irreversible gas sensing of model silane molecules. Our study presents promising avenues for designing compact, cost-effective, and highly efficient gas sensors with tailored properties for discriminative gas detection.
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Affiliation(s)
- Khoa Nhu Tran
- School of Chemical Engineering, The University of Adelaide, Adelaide, South Australia 5005, Australia
- Institute for Photonics and Advanced Sensing, The University of Adelaide, Adelaide South Australia 5005, Australia
| | - Huong Nguyen Que Tran
- School of Chemical Engineering, The University of Adelaide, Adelaide, South Australia 5005, Australia
- Institute for Photonics and Advanced Sensing, The University of Adelaide, Adelaide South Australia 5005, Australia
| | - Siew Yee Lim
- School of Chemical Engineering, The University of Adelaide, Adelaide, South Australia 5005, Australia
- Institute for Photonics and Advanced Sensing, The University of Adelaide, Adelaide South Australia 5005, Australia
| | - Andrew D Abell
- Institute for Photonics and Advanced Sensing, The University of Adelaide, Adelaide South Australia 5005, Australia
- Department of Chemistry, The University of Adelaide, Adelaide, South Australia 5005, Australia
| | - Cheryl Suwen Law
- School of Chemical Engineering, The University of Adelaide, Adelaide, South Australia 5005, Australia
- Institute for Photonics and Advanced Sensing, The University of Adelaide, Adelaide South Australia 5005, Australia
| | - Abel Santos
- School of Chemical Engineering, The University of Adelaide, Adelaide, South Australia 5005, Australia
- Institute for Photonics and Advanced Sensing, The University of Adelaide, Adelaide South Australia 5005, Australia
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Rabchinskii MK, Sysoev VV, Brzhezinskaya M, Solomatin MA, Gabrelian VS, Kirilenko DA, Stolyarova DY, Saveliev SD, Shvidchenko AV, Cherviakova PD, Varezhnikov AS, Pavlov SI, Ryzhkov SA, Khalturin BG, Prasolov ND, Brunkov PN. Rationalizing Graphene-ZnO Composites for Gas Sensing via Functionalization with Amines. NANOMATERIALS (BASEL, SWITZERLAND) 2024; 14:735. [PMID: 38727329 PMCID: PMC11085583 DOI: 10.3390/nano14090735] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/12/2024] [Revised: 04/03/2024] [Accepted: 04/17/2024] [Indexed: 05/12/2024]
Abstract
The rational design of composites based on graphene/metal oxides is one of the pillars for advancing their application in various practical fields, particularly gas sensing. In this study, a uniform distribution of ZnO nanoparticles (NPs) through the graphene layer was achieved, taking advantage of amine functionalization. The beneficial effect of amine groups on the arrangement of ZnO NPs and the efficiency of their immobilization was revealed by core-level spectroscopy, pointing out strong ionic bonding between the aminated graphene (AmG) and ZnO. The stability of the resulting Am-ZnO nanocomposite was confirmed by demonstrating that its morphology remains unchanged even after prolonged heating up to 350 °C, as observed by electron microscopy. On-chip multisensor arrays composed of both AmG and Am-ZnO were fabricated and thoroughly tested, showing almost tenfold enhancement of the chemiresistive response upon decorating the AmG layer with ZnO nanoparticles, due to the formation of p-n heterojunctions. Operating at room temperature, the fabricated multisensor chips exhibited high robustness and a detection limit of 3.6 ppm and 5.1 ppm for ammonia and ethanol, respectively. Precise identification of the studied analytes was achieved by employing the pattern recognition technique based on linear discriminant analysis to process the acquired multisensor response.
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Affiliation(s)
- Maxim K. Rabchinskii
- Ioffe Institute, Politekhnicheskaya St. 26, Saint Petersburg 194021, Russia; (V.S.G.); (D.A.K.); (S.D.S.); (A.V.S.); (P.D.C.); (S.I.P.); (S.A.R.); (B.G.K.); (N.D.P.); (P.N.B.)
| | - Victor V. Sysoev
- Department of Physics, Yuri Gagarin State Technical University of Saratov, 77 Polytechnicheskaya St., Saratov 410054, Russia; (V.V.S.); (M.A.S.); (A.S.V.)
| | - Maria Brzhezinskaya
- Helmholtz-Zentrum Berlin für Materialien und Energie, Hahn-Meitner-Platz 1, 14109 Berlin, Germany;
| | - Maksim A. Solomatin
- Department of Physics, Yuri Gagarin State Technical University of Saratov, 77 Polytechnicheskaya St., Saratov 410054, Russia; (V.V.S.); (M.A.S.); (A.S.V.)
| | - Vladimir S. Gabrelian
- Ioffe Institute, Politekhnicheskaya St. 26, Saint Petersburg 194021, Russia; (V.S.G.); (D.A.K.); (S.D.S.); (A.V.S.); (P.D.C.); (S.I.P.); (S.A.R.); (B.G.K.); (N.D.P.); (P.N.B.)
| | - Demid A. Kirilenko
- Ioffe Institute, Politekhnicheskaya St. 26, Saint Petersburg 194021, Russia; (V.S.G.); (D.A.K.); (S.D.S.); (A.V.S.); (P.D.C.); (S.I.P.); (S.A.R.); (B.G.K.); (N.D.P.); (P.N.B.)
| | - Dina Yu. Stolyarova
- NRC “Kurchatov Institute”, Akademika Kurchatova pl. 1, Moscow 123182, Russia;
| | - Sviatoslav D. Saveliev
- Ioffe Institute, Politekhnicheskaya St. 26, Saint Petersburg 194021, Russia; (V.S.G.); (D.A.K.); (S.D.S.); (A.V.S.); (P.D.C.); (S.I.P.); (S.A.R.); (B.G.K.); (N.D.P.); (P.N.B.)
- Department of Physics, Yuri Gagarin State Technical University of Saratov, 77 Polytechnicheskaya St., Saratov 410054, Russia; (V.V.S.); (M.A.S.); (A.S.V.)
| | - Alexander V. Shvidchenko
- Ioffe Institute, Politekhnicheskaya St. 26, Saint Petersburg 194021, Russia; (V.S.G.); (D.A.K.); (S.D.S.); (A.V.S.); (P.D.C.); (S.I.P.); (S.A.R.); (B.G.K.); (N.D.P.); (P.N.B.)
| | - Polina D. Cherviakova
- Ioffe Institute, Politekhnicheskaya St. 26, Saint Petersburg 194021, Russia; (V.S.G.); (D.A.K.); (S.D.S.); (A.V.S.); (P.D.C.); (S.I.P.); (S.A.R.); (B.G.K.); (N.D.P.); (P.N.B.)
| | - Alexey S. Varezhnikov
- Department of Physics, Yuri Gagarin State Technical University of Saratov, 77 Polytechnicheskaya St., Saratov 410054, Russia; (V.V.S.); (M.A.S.); (A.S.V.)
| | - Sergey I. Pavlov
- Ioffe Institute, Politekhnicheskaya St. 26, Saint Petersburg 194021, Russia; (V.S.G.); (D.A.K.); (S.D.S.); (A.V.S.); (P.D.C.); (S.I.P.); (S.A.R.); (B.G.K.); (N.D.P.); (P.N.B.)
| | - Sergei A. Ryzhkov
- Ioffe Institute, Politekhnicheskaya St. 26, Saint Petersburg 194021, Russia; (V.S.G.); (D.A.K.); (S.D.S.); (A.V.S.); (P.D.C.); (S.I.P.); (S.A.R.); (B.G.K.); (N.D.P.); (P.N.B.)
- Department of Physics, Yuri Gagarin State Technical University of Saratov, 77 Polytechnicheskaya St., Saratov 410054, Russia; (V.V.S.); (M.A.S.); (A.S.V.)
| | - Boris G. Khalturin
- Ioffe Institute, Politekhnicheskaya St. 26, Saint Petersburg 194021, Russia; (V.S.G.); (D.A.K.); (S.D.S.); (A.V.S.); (P.D.C.); (S.I.P.); (S.A.R.); (B.G.K.); (N.D.P.); (P.N.B.)
| | - Nikita D. Prasolov
- Ioffe Institute, Politekhnicheskaya St. 26, Saint Petersburg 194021, Russia; (V.S.G.); (D.A.K.); (S.D.S.); (A.V.S.); (P.D.C.); (S.I.P.); (S.A.R.); (B.G.K.); (N.D.P.); (P.N.B.)
| | - Pavel N. Brunkov
- Ioffe Institute, Politekhnicheskaya St. 26, Saint Petersburg 194021, Russia; (V.S.G.); (D.A.K.); (S.D.S.); (A.V.S.); (P.D.C.); (S.I.P.); (S.A.R.); (B.G.K.); (N.D.P.); (P.N.B.)
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8
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Tran ATT, Hassan K, Tung TT, Tripathy A, Mondal A, Losic D. Graphene and metal-organic framework hybrids for high-performance sensors for lung cancer biomarker detection supported by machine learning augmentation. NANOSCALE 2024. [PMID: 38644676 DOI: 10.1039/d4nr00174e] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/23/2024]
Abstract
Conventional diagnostic methods for lung cancer, based on breath analysis using gas chromatography and mass spectrometry, have limitations for fast screening due to their limited availability, operational complexity, and high cost. As potential replacement, among several low-cost and portable methods, chemoresistive sensors for the detection of volatile organic compounds (VOCs) that represent biomarkers of lung cancer were explored as promising solutions, which unfortunately still face challenges. To address the key problems of these sensors, such as low sensitivity, high response time, and poor selectivity, this study presents the design of new chemoresistive sensors based on hybridised porous zeolitic imidazolate (ZIF-8) based metal-organic frameworks (MOFs) and laser-scribed graphene (LSG) structures, inspired by the architecture of the human lung. The sensing performance of the fabricated ZIF-8@LSG hybrid sensors was characterised using four dominant VOC biomarkers, including acetone, ethanol, methanol, and formaldehyde, which are identified as metabolomic signatures in lung cancer patients' exhaled breath. The results using simulated breath samples showed that the sensors exhibited excellent performance for a set of these biomarkers, including fast response (2-3 seconds), a wide detection range (0.8 ppm to 50 ppm), a low detection limit (0.8 ppm), and high selectivity, all obtained at room temperature. Intelligent machine learning (ML) recognition using the multilayer perceptron (MLP)-based classification algorithm was further employed to enhance the capability of these sensors, achieving an exceptional accuracy (approximately 96.5%) for the four targeted VOCs over the tested range (0.8-10 ppm). The developed hybridised nanomaterials, combined with the ML methodology, showcase robust identification of lung cancer biomarkers in simulated breath samples containing multiple biomarkers and a promising solution for their further improvements toward practical applications.
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Affiliation(s)
- Anh Tuan Trong Tran
- School of Chemical Engineering, The University of Adelaide, Adelaide, South Australia, Australia.
| | - Kamrul Hassan
- School of Chemical Engineering, The University of Adelaide, Adelaide, South Australia, Australia.
| | - Tran Thanh Tung
- School of Chemical Engineering, The University of Adelaide, Adelaide, South Australia, Australia.
| | - Ashis Tripathy
- School of Electronics Engineering (SENSE), Vellore Institute of Technology, Vandalur-Kelambakkam Road, Chennai 600127, India
| | - Ashok Mondal
- School of Electronics Engineering (SENSE), Vellore Institute of Technology, Vandalur-Kelambakkam Road, Chennai 600127, India
| | - Dusan Losic
- School of Chemical Engineering, The University of Adelaide, Adelaide, South Australia, Australia.
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9
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Das P, Marvi PK, Ganguly S, Tang XS, Wang B, Srinivasan S, Rajabzadeh AR, Rosenkranz A. MXene-Based Elastomer Mimetic Stretchable Sensors: Design, Properties, and Applications. NANO-MICRO LETTERS 2024; 16:135. [PMID: 38411801 PMCID: PMC10899156 DOI: 10.1007/s40820-024-01349-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/03/2023] [Accepted: 01/09/2024] [Indexed: 02/28/2024]
Abstract
Flexible sensors based on MXene-polymer composites are highly prospective for next-generation wearable electronics used in human-machine interfaces. One of the motivating factors behind the progress of flexible sensors is the steady arrival of new conductive materials. MXenes, a new family of 2D nanomaterials, have been drawing attention since the last decade due to their high electronic conductivity, processability, mechanical robustness and chemical tunability. In this review, we encompass the fabrication of MXene-based polymeric nanocomposites, their structure-property relationship, and applications in the flexible sensor domain. Moreover, our discussion is not only limited to sensor design, their mechanism, and various modes of sensing platform, but also their future perspective and market throughout the world. With our article, we intend to fortify the bond between flexible matrices and MXenes thus promoting the swift advancement of flexible MXene-sensors for wearable technologies.
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Affiliation(s)
- Poushali Das
- School of Biomedical Engineering, McMaster University, 1280 Main Street West, Hamilton, ON, L8S 4L8, Canada
| | - Parham Khoshbakht Marvi
- School of Biomedical Engineering, McMaster University, 1280 Main Street West, Hamilton, ON, L8S 4L8, Canada
| | - Sayan Ganguly
- Department of Chemistry and Waterloo Institute for Nanotechnology (WIN), University of Waterloo, 200 University Ave West, Waterloo, ON, Canada
- Centre for Eye and Vision Research (CEVR), 17W Hong Kong Science Park, Shatin, Hong Kong, People's Republic of China
| | - Xiaowu Shirley Tang
- Department of Chemistry and Waterloo Institute for Nanotechnology (WIN), University of Waterloo, 200 University Ave West, Waterloo, ON, Canada
- Centre for Eye and Vision Research (CEVR), 17W Hong Kong Science Park, Shatin, Hong Kong, People's Republic of China
| | - Bo Wang
- Chair of Functional Materials, Department of Materials Science and Engineering, Saarland University, Saarbrücken, Germany
| | - Seshasai Srinivasan
- School of Biomedical Engineering, McMaster University, 1280 Main Street West, Hamilton, ON, L8S 4L8, Canada.
- W Booth School of Engineering Practice and Technology, McMaster University, 1280 Main Street West, Hamilton, ON, L8S 4L7, Canada.
| | - Amin Reza Rajabzadeh
- School of Biomedical Engineering, McMaster University, 1280 Main Street West, Hamilton, ON, L8S 4L8, Canada.
- W Booth School of Engineering Practice and Technology, McMaster University, 1280 Main Street West, Hamilton, ON, L8S 4L7, Canada.
| | - Andreas Rosenkranz
- Department for Chemical Engineering, Biotechnology and Materials, University of Chile, Santiago, Chile.
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10
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Xu Y, Stanko AM, Cerione CS, Lohrey TD, McLeod E, Stoltz BM, Su J. Low Part-Per-Trillion, Humidity Resistant Detection of Nitric Oxide Using Microtoroid Optical Resonators. ACS APPLIED MATERIALS & INTERFACES 2024; 16:5120-5128. [PMID: 38240231 DOI: 10.1021/acsami.3c16012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/01/2024]
Abstract
The nitric oxide radical plays pivotal roles in physiological as well as atmospheric contexts. Although the detection of dissolved nitric oxide in vivo has been widely explored, highly sensitive (i.e., low part-per-trillion level), selective, and humidity-resistant detection of gaseous nitric oxide in air remains challenging. In the field, humidity can have dramatic effects on the accuracy and selectivity of gas sensors, confounding data, and leading to overestimation of gas concentration. Highly selective and humidity-resistant gaseous NO sensors based on laser-induced graphene were recently reported, displaying a limit of detection (LOD) of 8.3 ppb. Although highly sensitive (LOD = 590 ppq) single-wall carbon nanotube NO sensors have been reported, these sensors lack selectivity and humidity resistance. In this report, we disclose a highly sensitive (LOD = 2.34 ppt), selective, and humidity-resistant nitric oxide sensor based on a whispering-gallery mode microtoroid optical resonator. Excellent analyte selectivity was enabled via novel ferrocene-containing polymeric coatings synthesized via reversible addition-fragmentation chain-transfer polymerization. Utilizing a frequency locked optical whispering evanescent resonator system, the microtoroid's real-time resonance frequency shift response to nitric oxide was tracked with subfemtometer resolution. The lowest concentration experimentally detected was 6.4 ppt, which is the lowest reported to date. Additionally, the performance of the sensor remained consistent across different humidity environments. Lastly, the impact of the chemical composition and molecular weight of the novel ferrocene-containing polymeric coatings on sensing performance was evaluated. We anticipate that our results will have impact on a wide variety of fields where NO sensing is important such as medical diagnostics through exhaled breath, determination of planetary habitability, climate change, air quality monitoring, and treating cardiovascular and neurological disorders.
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Affiliation(s)
- Yinchao Xu
- Wyant College of Optical Sciences, The University of Arizona, Tucson, Arizona 85721, United States
- Department of Biomedical Engineering, The University of Arizona, Tucson, Arizona 85721, United States
| | - Allison M Stanko
- The Warren and Catherine Schlinger Laboratory for Chemistry and Chemical Engineering, Division of Chemistry and Chemical Engineering, California Institute of Technology, Pasadena, California 91125, United States
| | - Chloe S Cerione
- The Warren and Catherine Schlinger Laboratory for Chemistry and Chemical Engineering, Division of Chemistry and Chemical Engineering, California Institute of Technology, Pasadena, California 91125, United States
| | - Trevor D Lohrey
- The Warren and Catherine Schlinger Laboratory for Chemistry and Chemical Engineering, Division of Chemistry and Chemical Engineering, California Institute of Technology, Pasadena, California 91125, United States
| | - Euan McLeod
- Wyant College of Optical Sciences, The University of Arizona, Tucson, Arizona 85721, United States
- Department of Biomedical Engineering, The University of Arizona, Tucson, Arizona 85721, United States
| | - Brian M Stoltz
- The Warren and Catherine Schlinger Laboratory for Chemistry and Chemical Engineering, Division of Chemistry and Chemical Engineering, California Institute of Technology, Pasadena, California 91125, United States
| | - Judith Su
- Wyant College of Optical Sciences, The University of Arizona, Tucson, Arizona 85721, United States
- Department of Biomedical Engineering, The University of Arizona, Tucson, Arizona 85721, United States
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11
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Truong T, Kim J. A Wearable Strain Sensor Utilizing Shape Memory Polymer/Carbon Nanotube Composites Measuring Respiration Movements. Polymers (Basel) 2024; 16:373. [PMID: 38337262 DOI: 10.3390/polym16030373] [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: 12/18/2023] [Revised: 01/18/2024] [Accepted: 01/26/2024] [Indexed: 02/12/2024] Open
Abstract
Flexible wearable sensors are integral in diverse applications, particularly in healthcare and human-computer interaction systems. This paper introduces a resistive stretch sensor crafted from shape memory polymers (SMP) blended with carbon nanotubes (CNTs) and coated with silver paste. Initially, the sensor's characteristics underwent evaluation using a Universal Testing Machine (UTM) and an LCR meter. These sensors showcased exceptional sensitivity, boasting a gauge factor of up to 20 at 5% strain, making them adept at detecting subtle movements or stimuli. Subsequently, the study conducted a comparison between SMP-CNT conductors with and without the silver coating layer. The durability of the sensors was validated through 1000 cycles of stretching at 4% ∆R/R0. Lastly, the sensors were utilized for monitoring respiration and measuring human breathing. Fourier transform and power spectrum density (PSD) analysis were employed to discern frequency components. Positioned between the chest and abdominal wall for contact-based respiration monitoring, the sensors revealed a dominant frequency of approximately 0.35 Hz. Signal filtering further enhanced their ability to capture respiration signals, establishing them as valuable tools for next-generation personalized healthcare applications.
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Affiliation(s)
- TranThuyNga Truong
- Department of Smart Wearables Engineering, Soongsil University, Seoul 156-743, Republic of Korea
| | - Jooyong Kim
- Department of Materials Science and Engineering, Soongsil University, Seoul 156-743, Republic of Korea
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12
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Recum P, Hirsch T. Graphene-based chemiresistive gas sensors. NANOSCALE ADVANCES 2023; 6:11-31. [PMID: 38125587 PMCID: PMC10729924 DOI: 10.1039/d3na00423f] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/16/2023] [Accepted: 10/17/2023] [Indexed: 12/23/2023]
Abstract
Gas sensors allow the monitoring of the chemical environment of humans, which is often crucial for their wellbeing or even survival. Miniaturization, reversibility, and selectivity are some of the key challenges for serial use of chemical sensors. This tutorial review describes critical aspects when using nanomaterials as sensing substrates for the application in chemiresistive gas sensors. Graphene has been shown to be a promising candidate, as it allows gas sensors to be operated at room temperature, possibly saving large amounts of energy. In this review, an overview is given on the general mechanisms for gas-sensitive semiconducting materials and the implications of doping and functionalization on the sensing parameters of chemiresistive devices. It shows in detail how different challenges, like sensitivity, response time, reversibility and selectivity have been approached by material development and operation modes. In addition, perspectives from the area of data analysis and intelligent algorithms are presented, which can further enhance these sensors' usability in the field.
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13
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Akgönüllü S, Denizli A. Plasmonic nanosensors for pharmaceutical and biomedical analysis. J Pharm Biomed Anal 2023; 236:115671. [PMID: 37659267 DOI: 10.1016/j.jpba.2023.115671] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2023] [Revised: 08/04/2023] [Accepted: 08/17/2023] [Indexed: 09/04/2023]
Abstract
The detection and identification of clinical biomarkers with related sensitivity have become a source of considerable concern for biomedical analysis. There have been increasing efforts toward the development of single-molecule analytical platforms to overcome this concern. The latest developments in plasmonic nanomaterials include fascinating advances in energy, catalyst chemistry, optics, biotechnology, and medicine. Nanomaterials can be successfully applied to biomolecule and drug detection in plasmonic nanosensors for pharmaceutical and biomedical analysis. Plasmonic-based sensing technology exhibits high sensitivity and selectivity depending on surface plasmon resonance (SPR) or localized surface plasmon resonance (LSPR) phenomena. In this critical paper, we offer an overview of the methodology of the SPR, LSPR, surface-enhanced Raman scattering (SERS), surface-enhanced infrared absorption (SEIRA), surface-enhanced fluorescence (SEF), and plasmonic nanoplatforms advanced for pharmaceutical and biomedical applications. First of all, we present here a brief discussion of the above trends. We have devoted the last section to the explanation of SPR, LSPR, SERS, SEIRA, and SEF platforms, which have found a wide range of applications, and reviewed recent advances for biomedical and pharmaceutical analysis.
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Affiliation(s)
- Semra Akgönüllü
- Hacettepe University, Department of Chemistry, Ankara, Turkey
| | - Adil Denizli
- Hacettepe University, Department of Chemistry, Ankara, Turkey.
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14
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Yang L, Wang H, Abdullah AM, Meng C, Chen X, Feng A, Cheng H. Direct Laser Writing of the Porous Graphene Foam for Multiplexed Electrochemical Sweat Sensors. ACS APPLIED MATERIALS & INTERFACES 2023. [PMID: 37433119 DOI: 10.1021/acsami.3c02485] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/13/2023]
Abstract
Wearable electrochemical sensors provide means to detect molecular-level information from the biochemical markers in biofluids for physiological health evaluation. However, a high-density array is often required for multiplexed detection of multiple markers in complex biofluids, which is challenging with low-cost fabrication methods. This work reports the low-cost direct laser writing of porous graphene foam as a flexible electrochemical sensor to detect biomarkers and electrolytes in sweat. The resulting electrochemical sensor exhibits high sensitivity and low limit of detection for various biomarkers (e.g., the sensitivity of 6.49/6.87/0.94/0.16 μA μM-1 cm-2 and detection limit of 0.28/0.26/1.43/11.3 μM to uric acid/dopamine/tyrosine/ascorbic acid) in sweat. The results from this work open up opportunities for noninvasive continuous monitoring of gout, hydration status, and drug intake/overdose.
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Affiliation(s)
- Li Yang
- State Key Laboratory of Reliability and Intelligence of Electrical Equipment, School of Health Sciences and Biomedical Engineering, Hebei University of Technology, Tianjin 300130, China
| | - He Wang
- State Key Laboratory of Reliability and Intelligence of Electrical Equipment, School of Health Sciences and Biomedical Engineering, Hebei University of Technology, Tianjin 300130, China
| | - Abu Musa Abdullah
- Department of Engineering Science and Mechanics, The Pennsylvania State University, University Park, Pennsylvania 16802, United States
| | - Chuizhou Meng
- State Key Laboratory for Reliability and Intelligence of Electrical Equipment, Hebei Key Laboratory of Smart Sensing and Human-Robot Interaction, School of Mechanical Engineering, Hebei University of Technology, Tianjin 300401, China
| | - Xue Chen
- State Key Laboratory of Reliability and Intelligence of Electrical Equipment, Key Laboratory of Bioelectromagnetics and Neuroengineering of Hebei Province, School of Electrical Engineering, Hebei University of Technology, Tianjin 300130, China
| | - Anqi Feng
- State Key Laboratory for Reliability and Intelligence of Electrical Equipment, Hebei Key Laboratory of Smart Sensing and Human-Robot Interaction, School of Mechanical Engineering, Hebei University of Technology, Tianjin 300401, China
| | - Huanyu Cheng
- Department of Engineering Science and Mechanics, The Pennsylvania State University, University Park, Pennsylvania 16802, United States
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15
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Xu S, Liu X, Wu J, Wu J. NO x Sensor Constructed from Conductive Metal-Organic Framework and Graphene for Airway Inflammation Screening. ACS Sens 2023; 8:2348-2358. [PMID: 37312238 DOI: 10.1021/acssensors.3c00428] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
The detection of nitric oxide in human exhaled breath (EB) has received wide attention due to its close relationship with respiratory tract inflammation. Herein, a ppb-level NOx chemiresistive sensor was prepared by assembling graphene oxide (GO) with a conductive π-d conjugated metal-organic framework Co3(HITP)2 (HITP = 2,3,6,7,10,11-hexaiminotriphenylene) in the presence of poly(dimethyldiallylammonium chloride) (PDDA). The construction of a gas sensor chip was achieved by drop-casting the GO/PDDA/Co3(HITP)2 composite onto ITO-PET interdigital electrodes, followed by in situ reduction of GO to reduced graphene oxide (rGO) in hydrazine hydrate vapor. Compared with bare rGO, the nanocomposite shows significantly improved sensitivity and selectivity for NOx among various gas analytes owing to its folded and porous structure as well as its numerous active sites. The limit of detection (LOD) for NO and NO2 can reach as low as 11.2 and 6.8 ppb, respectively, and the response/recovery time to 200 ppb NO is 24/41 s. These results indicate that rGO/PDDA/Co3(HITP)2 can achieve a sensitive and fast response toward NOx at room temperature (RT). Additionally, good repeatability and long-term stability were observed. Furthermore, the sensor shows improved humidity tolerance owing to the presence of hydrophobic benzene rings in Co3(HITP)2. To demonstrate its ability in EB detection, EB samples collected from healthy individuals were spiked with a certain amount of NO to simulate the EB of respiratory inflammatory patients. The sensor can successfully distinguish healthy people from the simulated patients. Furthermore, in real clinical sample detection, the sensor can further differentiate acute respiratory inflammatory patients from the chronic ones.
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Affiliation(s)
- Shiyuan Xu
- Lab of Nanomedicine and Omic-based Diagnostics, Institute of Analytical Chemistry, Department of Chemistry, Zhejiang University, Hangzhou 310058, P. R. China
| | - Xuemei Liu
- Lab of Nanomedicine and Omic-based Diagnostics, Institute of Analytical Chemistry, Department of Chemistry, Zhejiang University, Hangzhou 310058, P. R. China
| | - Jiaying Wu
- Lab of Nanomedicine and Omic-based Diagnostics, Institute of Analytical Chemistry, Department of Chemistry, Zhejiang University, Hangzhou 310058, P. R. China
| | - Jianmin Wu
- Lab of Nanomedicine and Omic-based Diagnostics, Institute of Analytical Chemistry, Department of Chemistry, Zhejiang University, Hangzhou 310058, P. R. China
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16
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Xue Y, Wang Z, Dutta A, Chen X, Gao P, Li R, Yan J, Niu G, Wang Y, Du S, Cheng H, Yang L. Superhydrophobic, stretchable kirigami pencil-on-paper multifunctional device platform. CHEMICAL ENGINEERING JOURNAL (LAUSANNE, SWITZERLAND : 1996) 2023; 465:142774. [PMID: 37484163 PMCID: PMC10361402 DOI: 10.1016/j.cej.2023.142774] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/25/2023]
Abstract
Wearable electronics with applications in healthcare, human-machine interfaces, and robotics often explore complex manufacturing procedures and are not disposable. Although the use of conductive pencil patterns on cellulose paper provides inexpensive, disposable sensors, they have limited stretchability and are easily affected by variations in the ambient environment. This work presents the combination of pencil-on-paper with the hydrophobic fumed SiO2 (Hf-SiO2) coating and stretchable kirigami structures from laser cutting to prepare a superhydrophobic, stretchable pencil-on-paper multifunctional sensing platform. The resulting sensor exhibits a large response to NO2 gas at elevated temperature from self-heating, which is minimally affected by the variations in the ambient temperature and relative humidity, as well as mechanical deformations such as bending and stretching states. The integrated temperature sensor and electrodes with the sensing platform can accurately detect temperature and electrophysiological signals to alert for adverse thermal effects and cardiopulmonary diseases. The thermal therapy and electrical stimulation provided by the platform can also deliver effective means to battle against inflammation/infection and treat chronic wounds. The superhydrophobic pencil-onpaper multifunctional device platform provides a low-cost, disposable solution to disease diagnostic confirmation and early treatment for personal and population health.
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Affiliation(s)
- Ye Xue
- State Key Laboratory of Reliability and Intelligence of Electrical Equipment, School of Health Sciences and Biomedical Engineering, Hebei University of Technology, Tianjin 300130, China
| | - Zihan Wang
- State Key Laboratory for Reliability and Intelligence of Electrical Equipment, Hebei Key Laboratory of Smart Sensing and Human-Robot Interaction, School of Mechanical Engineering, Hebei University of Technology, Tianjin 300401, China
| | - Ankan Dutta
- Department of Engineering Science and Mechanics, The Pennsylvania State University, University Park, 16802, USA
| | - Xue Chen
- State Key Laboratory of Reliability and Intelligence of Electrical Equipment, Key Laboratory of Bioelectromagnetics and Neuroengineering of Hebei Province, School of Electrical Engineering, Hebei University of Technology, Tianjin 300130, China
| | - Peng Gao
- Department of Electronic Information, Hebei University of Technology, Tianjin, 300130, China
| | - Runze Li
- State Key Laboratory of Reliability and Intelligence of Electrical Equipment, Key Laboratory of Bioelectromagnetics and Neuroengineering of Hebei Province, School of Electrical Engineering, Hebei University of Technology, Tianjin 300130, China
| | - Jiayi Yan
- State Key Laboratory for Reliability and Intelligence of Electrical Equipment, Hebei Key Laboratory of Smart Sensing and Human-Robot Interaction, School of Mechanical Engineering, Hebei University of Technology, Tianjin 300401, China
| | - Guangyu Niu
- Department of Architecture and Art, Hebei University of Technology, Tianjin, 300130, China
| | - Ya Wang
- State Key Laboratory for Reliability and Intelligence of Electrical Equipment, Hebei Key Laboratory of Smart Sensing and Human-Robot Interaction, School of Mechanical Engineering, Hebei University of Technology, Tianjin 300401, China
| | - Shuaijie Du
- State Key Laboratory of Reliability and Intelligence of Electrical Equipment, Key Laboratory of Bioelectromagnetics and Neuroengineering of Hebei Province, School of Electrical Engineering, Hebei University of Technology, Tianjin 300130, China
| | - Huanyu Cheng
- Department of Engineering Science and Mechanics, The Pennsylvania State University, University Park, 16802, USA
| | - Li Yang
- State Key Laboratory of Reliability and Intelligence of Electrical Equipment, School of Health Sciences and Biomedical Engineering, Hebei University of Technology, Tianjin 300130, China
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17
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Ma Z, Guo W, Zhang K, Wang N, Li Z, Li J. Liquid exfoliation of bulk g-C 3N 5 to nanosheets for improved photocatalytic antibacterial activity. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2023; 30:69486-69498. [PMID: 37140858 DOI: 10.1007/s11356-023-27330-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/14/2023] [Accepted: 04/26/2023] [Indexed: 05/05/2023]
Abstract
Liquid exfoliation of bulk g-C3N5 was applied to synthesize g-C3N5 nanosheets. In order to characterize the samples, X-ray powder diffraction (XRD), scanning electron microscopy (SEM), transmission electron microscopy (TEM), Fourier transform infrared spectra (FT-IR), X-ray photoelectron spectra (XPS), UV-Vis absorption spectra (UV-Vis), and photoluminescence spectra (PL) were examined. g-C3N5 nanosheets exhibited enhanced performance in the inactivation of Escherichia coli (E. coli) with visible light irradiation relative to bulk g-C3N5 and promoted complete inactivation of E. coli within 120 min. h+ and •O2- were the principal reactive species in the antibacterial process. In the early stages, SOD and CAT played a defensive role in resisting oxidative damage of active species. With the prolonged light exposure time, the antioxidant protection system was overwhelmed leading to the destruction of the cell membrane. The leakage of cell contents such as K+, protein, and DNA caused bacterial apoptosis ultimately. The enhanced photocatalytic antibacterial performance of g-C3N5 nanosheets is ascribed to the stronger redox property by the upward shift of CB and downward shift of VB compared with bulk g-C3N5. On the other hand, larger specific surface area and better separation efficiency of photoinduced carriers are helpful to the improved photocatalytic performance. This study systematically revealed the inactivation process toward E. coli and expanded the application range of g-C3N5-based materials with abundant solar energy.
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Affiliation(s)
- Zhanqiang Ma
- College of Agriculture, Henan University of Science and Technology, Luoyang, 471000, People's Republic of China
| | - Wei Guo
- College of Agriculture, Henan University of Science and Technology, Luoyang, 471000, People's Republic of China
| | - Kaiyue Zhang
- College of Agriculture, Henan University of Science and Technology, Luoyang, 471000, People's Republic of China
| | - Nan Wang
- College of Agriculture, Henan University of Science and Technology, Luoyang, 471000, People's Republic of China
| | - Ziyue Li
- College of Agriculture, Henan University of Science and Technology, Luoyang, 471000, People's Republic of China
| | - Juan Li
- School of Environmental Engineering and Chemistry, Luoyang Institute of Science and Technology, Luoyang, 471023, People's Republic of China.
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18
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Zhang C, Chen J, Gao J, Tan G, Bai S, Weng K, Chen HM, Ding X, Cheng H, Yang Y, Wang J. Laser Processing of Crumpled Porous Graphene/MXene Nanocomposites for a Standalone Gas Sensing System. NANO LETTERS 2023; 23:3435-3443. [PMID: 37014054 DOI: 10.1021/acs.nanolett.3c00454] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/19/2023]
Abstract
Integrating wearable gas sensors with energy harvesting and storage devices can create self-powered systems for continuous monitoring of gaseous molecules. However, the development is still limited by complex fabrication processes, poor stretchability, and sensitivity. Herein, we report the low-cost and scalable laser scribing of crumpled graphene/MXenes nanocomposite foams to combine stretchable self-charging power units with gas sensors for a fully integrated standalone gas sensing system. The crumpled nanocomposite designed in island-bridge device architecture allows the integrated self-charging unit to efficiently harvest kinetic energy from body movements into stable power with adjustable voltage/current outputs. Meanwhile, given the stretchable gas sensor with a large response of ∼1% ppm-1 and an ultralow detection limit of ∼5 ppb to NO2/NH3, the integrated system provides real-time monitoring of the exhaled human breath and the local air quality. The innovations in materials and structural designs pave the way for the future development of wearable electronics.
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Affiliation(s)
- Cheng Zhang
- Fujian Key Laboratory of Functional Marine Sensing Materials, College of Material and Chemical Engineering, Minjiang University, Fuzhou 350108, PR China
- Department of Engineering Science and Mechanics, Materials Research Institute, Pennsylvania State University, University Park, Pennsylvania 16802, United States
| | - Jinguo Chen
- Fujian Key Laboratory of Functional Marine Sensing Materials, College of Material and Chemical Engineering, Minjiang University, Fuzhou 350108, PR China
| | - Jindong Gao
- Fujian Key Laboratory of Functional Marine Sensing Materials, College of Material and Chemical Engineering, Minjiang University, Fuzhou 350108, PR China
| | - Guanglong Tan
- Fujian Key Laboratory of Functional Marine Sensing Materials, College of Material and Chemical Engineering, Minjiang University, Fuzhou 350108, PR China
| | - Shaobo Bai
- Fujian Key Laboratory of Functional Marine Sensing Materials, College of Material and Chemical Engineering, Minjiang University, Fuzhou 350108, PR China
| | - Kangwei Weng
- Fujian Key Laboratory of Functional Marine Sensing Materials, College of Material and Chemical Engineering, Minjiang University, Fuzhou 350108, PR China
| | - Hua Min Chen
- Fujian Key Laboratory of Functional Marine Sensing Materials, College of Material and Chemical Engineering, Minjiang University, Fuzhou 350108, PR China
| | - Xiaohong Ding
- Fujian Provincial Key Laboratory of Eco-Industrial Green Technology, College of Ecological and Resources Engineering, Wuyi University, Wuyishan 354300, PR China
- Department of Engineering Science and Mechanics, Materials Research Institute, Pennsylvania State University, University Park, Pennsylvania 16802, United States
| | - Huanyu Cheng
- Department of Engineering Science and Mechanics, Materials Research Institute, Pennsylvania State University, University Park, Pennsylvania 16802, United States
| | - Yanhui Yang
- Fujian Key Laboratory of Functional Marine Sensing Materials, College of Material and Chemical Engineering, Minjiang University, Fuzhou 350108, PR China
| | - Jun Wang
- Fujian Key Laboratory of Functional Marine Sensing Materials, College of Material and Chemical Engineering, Minjiang University, Fuzhou 350108, PR China
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19
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Yang L, Yan J, Meng C, Dutta A, Chen X, Xue Y, Niu G, Wang Y, Du S, Zhou P, Zhang C, Guo S, Cheng H. Vanadium Oxide-Doped Laser-Induced Graphene Multi-Parameter Sensor to Decouple Soil Nitrogen Loss and Temperature. ADVANCED MATERIALS (DEERFIELD BEACH, FLA.) 2023; 35:e2210322. [PMID: 36656071 PMCID: PMC10427720 DOI: 10.1002/adma.202210322] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/07/2022] [Revised: 12/27/2022] [Indexed: 06/17/2023]
Abstract
Monitoring nitrogen utilization efficiency and soil temperature in agricultural systems for timely intervention is essential for crop health with reduced environmental pollution. Herein, this work presents a high-performance multi-parameter sensor based on vanadium oxide (VOX )-doped laser-induced graphene (LIG) foam to completely decouple nitrogen oxides (NOX ) and temperature. The highly porous 3D VOX -doped LIG foam composite is readily obtained by laser scribing vanadium sulfide (V5 S8 )-doped block copolymer and phenolic resin self-assembled films. The heterojunction formed at the LIG/VOX interface provides the sensor with enhanced response to NOX and an ultralow limit of detection of 3 ppb (theoretical estimate of 451 ppt) at room temperature. The sensor also exhibits a wide detection range, fast response/recovery, good selectivity, and stability over 16 days. Meanwhile, the sensor can accurately detect temperature over a wide linear range of 10-110 °C. The encapsulation of the sensor with a soft membrane further allows for temperature sensing without being affected by NOX . The unencapsulated sensor operated at elevated temperature removes the influences of relative humidity and temperature variations for accurate NOX measurements. The capability to decouple nitrogen loss and soil temperature paves the way for the development of future multimodal decoupled electronics for precision agriculture and health monitoring.
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Affiliation(s)
- Li Yang
- State Key Laboratory of Reliability and Intelligence of Electrical Equipment, School of Health Sciences and Biomedical Engineering, Hebei University of Technology, Tianjin, 300130, China
| | - Jiayi Yan
- State Key Laboratory for Reliability and Intelligence of Electrical Equipment, Hebei Key Laboratory of Smart Sensing and Human-Robot Interaction, School of Mechanical Engineering, Hebei University of Technology, Tianjin, 300130, China
| | - Chuizhou Meng
- State Key Laboratory for Reliability and Intelligence of Electrical Equipment, Hebei Key Laboratory of Smart Sensing and Human-Robot Interaction, School of Mechanical Engineering, Hebei University of Technology, Tianjin, 300130, China
| | - Ankan Dutta
- Department of Engineering Science and Mechanics, The Pennsylvania State University, University Park, 16802, USA
| | - Xue Chen
- State Key Laboratory of Reliability and Intelligence of Electrical Equipment, Key Laboratory of Bioelectromagnetics and Neuroengineering of Hebei Province, School of Electrical Engineering, Hebei University of Technology, Tianjin, 300130, China
| | - Ye Xue
- State Key Laboratory of Reliability and Intelligence of Electrical Equipment, School of Health Sciences and Biomedical Engineering, Hebei University of Technology, Tianjin, 300130, China
| | - Guangyu Niu
- School of Architecture and Art, Hebei University of Technology, Tianjin, 300130, China
| | - Ya Wang
- State Key Laboratory for Reliability and Intelligence of Electrical Equipment, Hebei Key Laboratory of Smart Sensing and Human-Robot Interaction, School of Mechanical Engineering, Hebei University of Technology, Tianjin, 300130, China
| | - Shuaijie Du
- State Key Laboratory of Reliability and Intelligence of Electrical Equipment, Key Laboratory of Bioelectromagnetics and Neuroengineering of Hebei Province, School of Electrical Engineering, Hebei University of Technology, Tianjin, 300130, China
| | - Peng Zhou
- Tianjin Tianzhong Yimai Technology Development Co., Ltd, Tianjin, 300384, China
| | - Cheng Zhang
- Fujian Key Laboratory of Functional Marine Sensing Materials, College of Material and Chemical Engineering, Minjiang University, Fuzhou, 350108, China
| | - Shijie Guo
- State Key Laboratory for Reliability and Intelligence of Electrical Equipment, Hebei Key Laboratory of Smart Sensing and Human-Robot Interaction, School of Mechanical Engineering, Hebei University of Technology, Tianjin, 300130, China
| | - Huanyu Cheng
- Department of Engineering Science and Mechanics, The Pennsylvania State University, University Park, 16802, USA
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20
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Yang L, Wang Z, Wang H, Jin B, Meng C, Chen X, Li R, Wang H, Xin M, Zhao Z, Guo S, Wu J, Cheng H. Self-Healing, Reconfigurable, Thermal-Switching, Transformative Electronics for Health Monitoring. ADVANCED MATERIALS (DEERFIELD BEACH, FLA.) 2023; 35:e2207742. [PMID: 36719993 PMCID: PMC10391699 DOI: 10.1002/adma.202207742] [Citation(s) in RCA: 17] [Impact Index Per Article: 17.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/24/2022] [Revised: 01/16/2023] [Indexed: 06/18/2023]
Abstract
Soft, deformable electronic devices provide the means to monitor physiological information and health conditions for disease diagnostics. However, their practical utility is limited due to the lack of intrinsical thermal switching for mechanically transformative adaptability and self-healing capability against mechanical damages. Here, the design concepts, materials and physics, manufacturing approaches, and application opportunities of self-healing, reconfigurable, thermal-switching device platforms based on hyperbranched polymers and biphasic liquid metal are reported. The former provides excellent self-healing performance and unique tunable stiffness and adhesion regulated by temperature for the on-skin switch, whereas the latter results in liquid metal circuits with extreme stretchability (>900%) and high conductivity (3.40 × 104 S cm-1 ), as well as simple recycling capability. Triggered by the increased temperature from the skin surface, a multifunctional device platform can conveniently conform and strongly adhere to the hierarchically textured skin surface for non-invasive, continuous, comfortable health monitoring. Additionally, the self-healing and adhesive characteristics allow multiple multifunctional circuit components to assemble and completely wrap on 3D curvilinear surfaces. Together, the design, manufacturing, and proof-of-concept demonstration of the self-healing, transformative, and self-assembled electronics open up new opportunities for robust soft deformable devices, smart robotics, prosthetics, and Internet-of-Things, and human-machine interfaces on irregular surfaces.
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Affiliation(s)
- Li Yang
- State Key Laboratory of Reliability and Intelligence of Electrical Equipment, School of Health Sciences and Biomedical Engineering, Hebei University of Technology, Tianjin 300130, China
| | - Zihan Wang
- State Key Laboratory for Reliability and Intelligence of Electrical Equipment, Hebei Key Laboratory of Smart Sensing and Human-Robot Interaction, School of Mechanical Engineering, Hebei University of Technology, Tianjin 300401, China
| | - Hao Wang
- State Key Laboratory of Polymer Material Engineering, College of Polymer Science and Engineering, Sichuan University, Chengdu 610065, China
| | - Biqiang Jin
- State Key Laboratory of Polymer Material Engineering, College of Polymer Science and Engineering, Sichuan University, Chengdu 610065, China
| | - Chuizhou Meng
- State Key Laboratory for Reliability and Intelligence of Electrical Equipment, Hebei Key Laboratory of Smart Sensing and Human-Robot Interaction, School of Mechanical Engineering, Hebei University of Technology, Tianjin 300401, China
| | - Xue Chen
- State Key Laboratory of Reliability and Intelligence of Electrical Equipment, Key Laboratory of Bioelectromagnetics and Neuroengineering of Hebei Province, School of Electrical Engineering, Hebei University of Technology, Tianjin 300130, China
| | - Runze Li
- State Key Laboratory of Reliability and Intelligence of Electrical Equipment, Key Laboratory of Bioelectromagnetics and Neuroengineering of Hebei Province, School of Electrical Engineering, Hebei University of Technology, Tianjin 300130, China
| | - He Wang
- State Key Laboratory of Polymer Material Engineering, College of Polymer Science and Engineering, Sichuan University, Chengdu 610065, China
| | - Mingyang Xin
- State Key Laboratory of Reliability and Intelligence of Electrical Equipment, School of Health Sciences and Biomedical Engineering, Hebei University of Technology, Tianjin 300130, China
| | - Zeshang Zhao
- State Key Laboratory for Reliability and Intelligence of Electrical Equipment, Hebei Key Laboratory of Smart Sensing and Human-Robot Interaction, School of Mechanical Engineering, Hebei University of Technology, Tianjin 300401, China
| | - Shijie Guo
- State Key Laboratory for Reliability and Intelligence of Electrical Equipment, Hebei Key Laboratory of Smart Sensing and Human-Robot Interaction, School of Mechanical Engineering, Hebei University of Technology, Tianjin 300401, China
| | - Jinrong Wu
- State Key Laboratory of Polymer Material Engineering, College of Polymer Science and Engineering, Sichuan University, Chengdu 610065, China
| | - Huanyu Cheng
- Department of Engineering Science and Mechanics, The Pennsylvania State University, University Park 16802, USA
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21
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Hwang YJ, Yu H, Lee G, Shackery I, Seong J, Jung Y, Sung SH, Choi J, Jun SC. Multiplexed DNA-functionalized graphene sensor with artificial intelligence-based discrimination performance for analyzing chemical vapor compositions. MICROSYSTEMS & NANOENGINEERING 2023; 9:28. [PMID: 36949735 PMCID: PMC10025282 DOI: 10.1038/s41378-023-00499-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 05/27/2022] [Revised: 12/14/2022] [Accepted: 01/03/2023] [Indexed: 06/18/2023]
Abstract
This study presents a new technology that can detect and discriminate individual chemical vapors to determine the chemical vapor composition of mixed chemical composition in situ based on a multiplexed DNA-functionalized graphene (MDFG) nanoelectrode without the need to condense the original vapor or target dilution. To the best of our knowledge, our artificial intelligence (AI)-operated arrayed electrodes were capable of identifying the compositions of mixed chemical gases with a mixed ratio in the early stage. This innovative technology comprised an optimized combination of nanodeposited arrayed electrodes and artificial intelligence techniques with advanced sensing capabilities that could operate within biological limits, resulting in the verification of mixed vapor chemical components. Highly selective sensors that are tolerant to high humidity levels provide a target for "breath chemovapor fingerprinting" for the early diagnosis of diseases. The feature selection analysis achieved recognition rates of 99% and above under low-humidity conditions and 98% and above under humid conditions for mixed chemical compositions. The 1D convolutional neural network analysis performed better, discriminating the compositional state of chemical vapor under low- and high-humidity conditions almost perfectly. This study provides a basis for the use of a multiplexed DNA-functionalized graphene gas sensor array and artificial intelligence-based discrimination of chemical vapor compositions in breath analysis applications.
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Affiliation(s)
- Yun Ji Hwang
- School of Mechanical Engineering, Yonsei University, 50, Yonsei-ro, Seodaemun-gu, Seoul, 03722 Republic of Korea
| | - Heejin Yu
- School of Mechanical Engineering, Yonsei University, 50, Yonsei-ro, Seodaemun-gu, Seoul, 03722 Republic of Korea
| | - Gilho Lee
- School of Mechanical Engineering, Yonsei University, 50, Yonsei-ro, Seodaemun-gu, Seoul, 03722 Republic of Korea
| | - Iman Shackery
- School of Mechanical Engineering, Yonsei University, 50, Yonsei-ro, Seodaemun-gu, Seoul, 03722 Republic of Korea
| | - Jin Seong
- School of Mechanical Engineering, Yonsei University, 50, Yonsei-ro, Seodaemun-gu, Seoul, 03722 Republic of Korea
| | - Youngmo Jung
- School of Mechanical Engineering, Yonsei University, 50, Yonsei-ro, Seodaemun-gu, Seoul, 03722 Republic of Korea
| | - Seung-Hyun Sung
- School of Mechanical Engineering, Yonsei University, 50, Yonsei-ro, Seodaemun-gu, Seoul, 03722 Republic of Korea
| | - Jongeun Choi
- School of Mechanical Engineering, Yonsei University, 50, Yonsei-ro, Seodaemun-gu, Seoul, 03722 Republic of Korea
| | - Seong Chan Jun
- School of Mechanical Engineering, Yonsei University, 50, Yonsei-ro, Seodaemun-gu, Seoul, 03722 Republic of Korea
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22
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Bian W, Dou H, Wang X, Li C, Zhang Y, Gong C, Sun N, Liu S, Li P, Jing Q, Liu B. Fabrication and Computational Study of a Chemiresistive NO 2 Gas Sensor Based on the Carbon Dots-WO 3 Heterostructure for Operating below Room Temperature. ACS Sens 2023; 8:748-756. [PMID: 36749024 DOI: 10.1021/acssensors.2c02291] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/08/2023]
Abstract
For a long time, chemiresistive gas sensors based on metal oxide semiconductors (MOSs) suffer from higher operating temperatures, resulting in higher energy consumption and instability of the sensors. Generally, a MOS-based chemiresistive gas sensor being able to work at room temperature is considered to be outstanding already. Here, a highly sensitive NO2 gas sensor based on the carbon dots-WO3 heterostructure, which can work below room temperature at -6 °C, is fabricated. At 18, -1, and -6 °C, its detection limits are 200 ppb, 5 ppm, and 20 ppm, respectively, and the corresponding response values (Ra/Rg) are 1.11, 1.04, and 1.13, respectively. The sensor exhibits good selectivity, stability, and linearity between relative humidity and response values too. A peculiar response behavior was observed. Toward oxidizing gas NO2, the resistance of the sensor based mainly on n-type WO3 shows decrease behavior. Its peculiar response behavior and strong gas sensing ability at lower temperatures were elucidated theoretically using the results of first-principles calculations. The reduction of NO2 into NO by surface oxygen vacancies of WO3 and the following adsorption of NO on the surface of WO3 lead to electron transfer from NO to WO3, and the Fermi level shifts toward the conduction band, making the sensor exhibit the peculiar response behavior. The stronger adsorption capability of carbon dots toward NO2 and a synergistic effect of carbon dots and WO3 together make the sensor capable of working at lower temperatures and own higher sensitivity.
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Affiliation(s)
- Wengang Bian
- Laboratory of Functional Molecules and Materials, School of Physics and Optoelectronic Engineering, Shandong University of Technology, 266 Xincun Xi Road, Zibo255000, China.,School of Materials Science and Engineering, Shandong University of Technology, 266 Xincun Xi Road, Zibo255000, China
| | - Hongrui Dou
- Laboratory of Functional Molecules and Materials, School of Physics and Optoelectronic Engineering, Shandong University of Technology, 266 Xincun Xi Road, Zibo255000, China.,School of Materials Science and Engineering, Shandong University of Technology, 266 Xincun Xi Road, Zibo255000, China
| | - Xin Wang
- Laboratory of Functional Molecules and Materials, School of Physics and Optoelectronic Engineering, Shandong University of Technology, 266 Xincun Xi Road, Zibo255000, China
| | - Chunjie Li
- Laboratory of Functional Molecules and Materials, School of Physics and Optoelectronic Engineering, Shandong University of Technology, 266 Xincun Xi Road, Zibo255000, China
| | - Yucai Zhang
- Laboratory of Functional Molecules and Materials, School of Physics and Optoelectronic Engineering, Shandong University of Technology, 266 Xincun Xi Road, Zibo255000, China.,School of Materials Science and Engineering, Shandong University of Technology, 266 Xincun Xi Road, Zibo255000, China
| | - Chengyi Gong
- Laboratory of Functional Molecules and Materials, School of Physics and Optoelectronic Engineering, Shandong University of Technology, 266 Xincun Xi Road, Zibo255000, China
| | - Na Sun
- Laboratory of Functional Molecules and Materials, School of Physics and Optoelectronic Engineering, Shandong University of Technology, 266 Xincun Xi Road, Zibo255000, China.,School of Materials Science and Engineering, Shandong University of Technology, 266 Xincun Xi Road, Zibo255000, China
| | - Shasha Liu
- Key Laboratory of Advanced Electronic Materials and Devices, School of Physics and Mathematics, Anhui Jianzhu University, Hefei230601, China
| | - Ping Li
- Key Laboratory of Advanced Electronic Materials and Devices, School of Physics and Mathematics, Anhui Jianzhu University, Hefei230601, China
| | - Qiang Jing
- Laboratory of Functional Molecules and Materials, School of Physics and Optoelectronic Engineering, Shandong University of Technology, 266 Xincun Xi Road, Zibo255000, China.,School of Physics and Astronomy, Shanghai Jiao Tong University, Shanghai200240, China
| | - Bo Liu
- Laboratory of Functional Molecules and Materials, School of Physics and Optoelectronic Engineering, Shandong University of Technology, 266 Xincun Xi Road, Zibo255000, China
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23
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Niu G, Wang Z, Xue Y, Yan J, Dutta A, Chen X, Wang Y, Liu C, Du S, Guo L, Zhou P, Cheng H, Yang L. Pencil-on-Paper Humidity Sensor Treated with NaCl Solution for Health Monitoring and Skin Characterization. NANO LETTERS 2023; 23:1252-1260. [PMID: 36584409 DOI: 10.1021/acs.nanolett.2c04384] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/17/2023]
Abstract
Although flexible humidity sensors are essential for human health monitoring, it is still challenging to achieve high sensitivity and easy disposal with simple, low-cost fabrication processes. This study presents the design and fabrication of highly reliable hand-drawn interdigital electrodes from pencil-on-paper treated with NaCl solution for highly sensitive hydration sensors working over a wide range of relative humidity (RH) levels from 5.6% to 90%. The applications of the resulting flexible humidity sensor go beyond the monitoring of respiratory rate and proximity to characterizations of human skin types and evaluations of skin barrier functions through insensible sweat measurements. The sensor array can also be integrated with a diaper to result in smart diapers to alert for an early diaper change. The design and fabrication strategies presented in this work could also be leveraged for the development of wearable, self-powered, and recyclable sensors and actuators in the future.
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Affiliation(s)
- Guangyu Niu
- Department of Architecture and Art, Hebei University of Technology, Tianjin, 300130, China
| | - Zihan Wang
- State Key Laboratory for Reliability and Intelligence of Electrical Equipment, Hebei Key Laboratory of Smart Sensing and Human-Robot Interaction, School of Mechanical Engineering, Hebei University of Technology, Tianjin 300401, China
| | - Ye Xue
- State Key Laboratory of Reliability and Intelligence of Electrical Equipment, School of Health Sciences and Biomedical Engineering, Hebei University of Technology, Tianjin 300130, China
| | - Jiayi Yan
- State Key Laboratory for Reliability and Intelligence of Electrical Equipment, Hebei Key Laboratory of Smart Sensing and Human-Robot Interaction, School of Mechanical Engineering, Hebei University of Technology, Tianjin 300401, China
| | - Ankan Dutta
- Department of Engineering Science and Mechanics, The Pennsylvania State University, University Park, Pennsylvania 16802, United States
| | - Xue Chen
- State Key Laboratory of Reliability and Intelligence of Electrical Equipment, Key Laboratory of Bioelectromagnetics and Neuroengineering of Hebei Province, School of Electrical Engineering, Hebei University of Technology, Tianjin 300130, China
| | - Ya Wang
- State Key Laboratory for Reliability and Intelligence of Electrical Equipment, Hebei Key Laboratory of Smart Sensing and Human-Robot Interaction, School of Mechanical Engineering, Hebei University of Technology, Tianjin 300401, China
| | - Chaosai Liu
- State Key Laboratory for Reliability and Intelligence of Electrical Equipment, Hebei Key Laboratory of Smart Sensing and Human-Robot Interaction, School of Mechanical Engineering, Hebei University of Technology, Tianjin 300401, China
| | - Shuaijie Du
- State Key Laboratory of Reliability and Intelligence of Electrical Equipment, Key Laboratory of Bioelectromagnetics and Neuroengineering of Hebei Province, School of Electrical Engineering, Hebei University of Technology, Tianjin 300130, China
| | - Langang Guo
- State Key Laboratory for Reliability and Intelligence of Electrical Equipment, Hebei Key Laboratory of Smart Sensing and Human-Robot Interaction, School of Mechanical Engineering, Hebei University of Technology, Tianjin 300401, China
| | - Peng Zhou
- Tianjin Tianzhong Yimai Technology Development Co. Ltd., Tianjin 300384, China
| | - Huanyu Cheng
- Department of Engineering Science and Mechanics, The Pennsylvania State University, University Park, Pennsylvania 16802, United States
| | - Li Yang
- State Key Laboratory of Reliability and Intelligence of Electrical Equipment, School of Health Sciences and Biomedical Engineering, Hebei University of Technology, Tianjin 300130, China
- Tianjin Tianzhong Yimai Technology Development Co. Ltd., Tianjin 300384, China
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24
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Synergistic coupling of 0D–2D heterostructure from ZnO and Ti3C2T MXene-derived TiO2 for boosted NO2 detection at room temperature. NANO MATERIALS SCIENCE 2023. [DOI: 10.1016/j.nanoms.2023.02.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/06/2023]
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25
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Ma T, Zhang J, Zhang L, Zhang Q, Xu X, Xiong Y, Ying Y, Fu Y. Recent advances in determination applications of emerging films based on nanomaterials. Adv Colloid Interface Sci 2023; 311:102828. [PMID: 36587470 DOI: 10.1016/j.cis.2022.102828] [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: 09/28/2022] [Revised: 12/12/2022] [Accepted: 12/22/2022] [Indexed: 12/28/2022]
Abstract
Sensitive and facile detection of analytes is crucial in various fields such as agriculture production, food safety, clinical diagnosis and therapy, and environmental monitoring. However, the synergy of complicated sample pretreatment and detection is an urgent challenge. By integrating the inherent porosity, processability and flexibility of films and the diversified merits of nanomaterials, nanomaterial-based films have evolved as preferred candidates to meet the above challenge. Recent years have witnessed the flourishment of films-based detection technologies due to their unique porous structures and integrated physical/chemical merits, which favors the separation/collection and detection of analytes in a rapid, efficient and facile way. In particular, films based on nanomaterials consisting of 0D metal-organic framework particles, 1D nanofibers and carbon nanotubes, and 2D graphene and analogs have drawn increasing attention due to incorporating new properties from nanomaterials. This paper summarizes the progress of the fabrication of emerging films based on nanomaterials and their detection applications in recent five years, focusing on typical electrochemical and optical methods. Some new interesting applications, such as point-of-care testing, wearable devices and detection chips, are proposed and emphasized. This review will provide insights into the integration and processability of films based on nanomaterials, thus stimulate further contributions towards films based on nanomaterials for high-performance analytical-chemistry-related applications.
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Affiliation(s)
- Tongtong Ma
- College of Biosystems Engineering and Food Science, Key Laboratory of Intelligent Equipment and Robotics for Agriculture of Zhejiang Province, Zhejiang University, Hangzhou 310058, China
| | - Jie Zhang
- College of Biosystems Engineering and Food Science, Key Laboratory of Intelligent Equipment and Robotics for Agriculture of Zhejiang Province, Zhejiang University, Hangzhou 310058, China
| | - Lin Zhang
- College of Biosystems Engineering and Food Science, Key Laboratory of Intelligent Equipment and Robotics for Agriculture of Zhejiang Province, Zhejiang University, Hangzhou 310058, China
| | - Qi Zhang
- College of Biosystems Engineering and Food Science, Key Laboratory of Intelligent Equipment and Robotics for Agriculture of Zhejiang Province, Zhejiang University, Hangzhou 310058, China
| | - Xiahong Xu
- State Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro-products, Institute of Agro-product Safety and Nutrition, Zhejiang Academy of Agricultural Sciences, Hangzhou 310021, China.
| | - Yonghua Xiong
- State Key Laboratory of Food Science and Technology, School of Food Science and Technology, Nanchang University, Nanchang 330047, China
| | - Yibin Ying
- College of Biosystems Engineering and Food Science, Key Laboratory of Intelligent Equipment and Robotics for Agriculture of Zhejiang Province, Zhejiang University, Hangzhou 310058, China
| | - Yingchun Fu
- College of Biosystems Engineering and Food Science, Key Laboratory of Intelligent Equipment and Robotics for Agriculture of Zhejiang Province, Zhejiang University, Hangzhou 310058, China.
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26
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Wang Y, Zhou Y. Recent Progress on Anti-Humidity Strategies of Chemiresistive Gas Sensors. MATERIALS (BASEL, SWITZERLAND) 2022; 15:ma15248728. [PMID: 36556531 PMCID: PMC9784667 DOI: 10.3390/ma15248728] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/17/2022] [Revised: 12/03/2022] [Accepted: 12/05/2022] [Indexed: 05/14/2023]
Abstract
In recent decades, chemiresistive gas sensors (CGS) have been widely studied due to their unique advantages of expedient miniaturization, simple fabrication, easy operation, and low cost. As one ubiquitous interference factor, humidity dramatically affects the performance of CGS, which has been neglected for a long time. With the rapid development of technologies based on gas sensors, including the internet of things (IoT), healthcare, environment monitoring, and food quality assessing, the humidity interference on gas sensors has been attracting increasing attention. Inspiringly, various anti-humidity strategies have been proposed to alleviate the humidity interference in this field; however, comprehensive summaries of these strategies are rarely reported. Therefore, this review aims to summarize the latest research advances on humidity-independent CGS. First, we discussed the humidity interference mechanism on gas sensors. Then, the anti-humidity strategies mainly including surface engineering, physical isolation, working parameters modulation, humidity compensation, and developing novel gas-sensing materials were successively introduced in detail. Finally, challenges and perspectives of improving the humidity tolerance of gas sensors were proposed for future research.
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27
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Zhang H, Zhang D, Zhang B, Wang D, Tang M. Wearable Pressure Sensor Array with Layer-by-Layer Assembled MXene Nanosheets/Ag Nanoflowers for Motion Monitoring and Human-Machine Interfaces. ACS APPLIED MATERIALS & INTERFACES 2022; 14:48907-48916. [PMID: 36281989 DOI: 10.1021/acsami.2c14863] [Citation(s) in RCA: 19] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/16/2023]
Abstract
Recently, wearable sensors and electronic skin systems have become prevalent, which can be employed to detect the movement status and physiological signals of wearers. Here, a pressure sensor composed of mesh-like micro-convex structure polydimethylsiloxane (PDMS), MXene nanosheet/Ag nanoflower (AgNF) films, and flexible interdigital electrodes was designed by layer-by-layer (LBL) assembly. The unique microstructure of PDMS effectively increases the contact area and improves sensitivity. Moreover, AgNFs were introduced into the MXene as a "bridge," and the synergistic effect of the two further enhanced the performance of the sensor. The pressure sensor has high sensitivity (191.3 kPa-1), good stability (18,000 cycles), fast response/recovery time (80 ms/90 ms), and low detection limit (8 Pa), so it can be used for all-round monitoring of the human body. Sensing arrays were integrated with a wireless transmitter as an intelligent artificial electronic skin for spatial pressure mapping and human-computer interaction sensing. Moreover, we develop a smart glove by a simple method, combining it with a 3D model for wireless accurate detection of hand poses. This provides ideas for hand somatosensory detection technology, leading to health monitoring, intelligent rehabilitation training, and personalized medicine.
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Affiliation(s)
- Hao Zhang
- College of Control Science and Engineering, China University of Petroleum (East China), Qingdao 266580, China
| | - Dongzhi Zhang
- College of Control Science and Engineering, China University of Petroleum (East China), Qingdao 266580, China
| | - Bao Zhang
- College of Control Science and Engineering, China University of Petroleum (East China), Qingdao 266580, China
| | - Dongyue Wang
- College of Control Science and Engineering, China University of Petroleum (East China), Qingdao 266580, China
| | - Mingcong Tang
- College of Control Science and Engineering, China University of Petroleum (East China), Qingdao 266580, China
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28
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Wang H, Zhao Z, Liu P, Pan Y, Guo X. Stretchable Sensors and Electro-Thermal Actuators with Self-Sensing Capability Using the Laser-Induced Graphene Technology. ACS APPLIED MATERIALS & INTERFACES 2022; 14:41283-41295. [PMID: 36037172 DOI: 10.1021/acsami.2c09973] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
Laser-induced graphene (LIG) represents a fast-speed and low-cost method to prepare the customizable graphene-based patterns in complex configurations with exceptional electrical performance. This paper presents the applications of LIG formed on the commercial polyimide (PI) film as the stretchable strain sensor and electrical-actuated actuators. First, the conductive performances of the LIG were systematically revealed under different fabrication conditions via investigating the effects of processing parameters, and the fluence of the laser was experimentally demonstrated as the only crucial parameter to evaluate the LIG formation, facilitating the selection of optimized manufacturing parameters to prepare the LIG with desired electrical performances. Then, the LIG-based strain sensor which can undergo over 50% tensile strain was fabricated by transfer of the LIG from the PI film to polydimethylsiloxane. The variety of LIG-based electro-thermal actuators to achieve pre-designed 3D architectures was presented, along with their parameter analysis. After incorporating the multimeter system, the actuator can even feedback its transformation from 2D precursor to 3D architecture by monitoring the resistance variation of LIG, revealing the integrated capability of our design in serving as sensors and actuators. Finally, the wearable glove with the LIG sensors was presented to demonstrate its ability to remotely control the soft robotic hand.
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Affiliation(s)
- Hao Wang
- Institute of Advanced Structure Technology, Beijing Institute of Technology, Beijing 100081, China
| | - Zifen Zhao
- Institute of Advanced Structure Technology, Beijing Institute of Technology, Beijing 100081, China
| | - Panpan Liu
- Institute of Advanced Structure Technology, Beijing Institute of Technology, Beijing 100081, China
| | - Yang Pan
- Xuteli School, Beijing Institute of Technology, Beijing 100081, China
| | - Xiaogang Guo
- Institute of Advanced Structure Technology, Beijing Institute of Technology, Beijing 100081, China
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