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Liu J, Xu Y, Liu S, Yu S, Yu Z, Low SS. Application and Progress of Chemometrics in Voltammetric Biosensing. BIOSENSORS 2022; 12:bios12070494. [PMID: 35884297 PMCID: PMC9313226 DOI: 10.3390/bios12070494] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/20/2022] [Revised: 07/03/2022] [Accepted: 07/06/2022] [Indexed: 12/14/2022]
Abstract
The voltammetric electrochemical sensing method combined with biosensors and multi-sensor systems can quickly, accurately, and reliably analyze the concentration of the main analyte and the overall characteristics of complex samples. Simultaneously, the high-dimensional voltammogram contains the rich electrochemical features of the detected substances. Chemometric methods are important tools for mining valuable information from voltammetric data. Chemometrics can aid voltammetric biosensor calibration and multi-element detection in complex matrix conditions. This review introduces the voltammetric analysis techniques commonly used in the research of voltammetric biosensor and electronic tongues. Then, the research on optimizing voltammetric biosensor results using classical chemometrics is summarized. At the same time, the incorporation of machine learning and deep learning has brought new opportunities to further improve the detection performance of biosensors in complex samples. Finally, smartphones connected with miniaturized voltammetric biosensors and chemometric methods provide a high-quality portable analysis platform that shows great potential in point-of-care testing.
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Affiliation(s)
- Jingjing Liu
- College of Automation Engineering, Northeast Electric Power University, Jilin 132012, China; (Y.X.); (S.L.); (S.Y.)
- Correspondence: (J.L.); (S.S.L.)
| | - Yifei Xu
- College of Automation Engineering, Northeast Electric Power University, Jilin 132012, China; (Y.X.); (S.L.); (S.Y.)
| | - Shikun Liu
- College of Automation Engineering, Northeast Electric Power University, Jilin 132012, China; (Y.X.); (S.L.); (S.Y.)
| | - Shixin Yu
- College of Automation Engineering, Northeast Electric Power University, Jilin 132012, China; (Y.X.); (S.L.); (S.Y.)
| | - Zhirun Yu
- College of Law, The Australian National University, Canberra 2600, Australia;
| | - Sze Shin Low
- Research Centre of Life Science and HealthCare, China Beacons Institute, University of Nottingham Ningbo China, 199 Taikang East Road, Ningbo 315100, China
- Correspondence: (J.L.); (S.S.L.)
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Liu J, Yang Y, Peng J, Wang H, Chen D, Liu Y, Yang L, Chen H. Fully Soft Pressure Sensor Based on Bionic Spine-Pillar Structure for Robotics Motion Monitoring. Soft Robot 2021; 9:518-530. [PMID: 34407382 DOI: 10.1089/soro.2020.0147] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022] Open
Abstract
Soft and stretchable sensors are essential to the development of electronic skin, especially their potential applications in health care and intelligent robots, which have increasingly attracted attentions. Herein, inspired by the epidermal tissue hierarchy, we propose a high-sensitivity fully soft capacitive pressure sensor with bionic spine-pillar microstructure. Benefiting from the combination of the random microscale spines and the millimeter-sized pillar array prepared based on polydimethylsiloxane, the proposed sensor exhibits a well deformability, a high sensitivity up to 2.87 k/Pa at low-pressure range, and a broad linear pressure dynamic range from 5 Pa to 100 kPa. A simple equivalent circuit model was established to demonstrate the sensing mechanism and geometric effect. For practical application demonstrations, the sensor was utilized to monitor local subtle and large movements of the skin, such as finger bending, wrist bending, swallowing, and facial muscle movements. The sensor shows a conformality with human skin to follow the skin extension closely. Furthermore, the proposed sensing strategy can provide a distinguishable tactile feedback for controlling robot arm and soft claw in various tasks, illustrating its potential applications in robotics.
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Affiliation(s)
- Jinlin Liu
- College of Electronics and Information Engineering, Shandong University of Science and Technology, Qingdao, China
| | - Yanan Yang
- College of Electronics and Information Engineering, Shandong University of Science and Technology, Qingdao, China
| | - Jie Peng
- College of Electronics and Information Engineering, Shandong University of Science and Technology, Qingdao, China
| | - Haicheng Wang
- College of Electronics and Information Engineering, Shandong University of Science and Technology, Qingdao, China
| | - Da Chen
- College of Electronics and Information Engineering, Shandong University of Science and Technology, Qingdao, China
| | - Yijian Liu
- College of Electronics and Information Engineering, Shandong University of Science and Technology, Qingdao, China
| | - Lina Yang
- College of Electronics and Information Engineering, Shandong University of Science and Technology, Qingdao, China
| | - Huining Chen
- College of Electronics and Information Engineering, Shandong University of Science and Technology, Qingdao, China
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Zhang Y, Zhou N. Electrochemical Biosensors Based on Micro‐fabricated Devices for Point‐of‐Care Testing: A Review. ELECTROANAL 2021. [DOI: 10.1002/elan.202100281] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/03/2023]
Affiliation(s)
- Yuting Zhang
- The Key Laboratory of Carbohydrate Chemistry and Biotechnology Ministry of Education School of Biotechnology Jiangnan University Wuxi 214122 China
| | - Nandi Zhou
- The Key Laboratory of Carbohydrate Chemistry and Biotechnology Ministry of Education School of Biotechnology Jiangnan University Wuxi 214122 China
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Lim HR, Kim HS, Qazi R, Kwon YT, Jeong JW, Yeo WH. Advanced Soft Materials, Sensor Integrations, and Applications of Wearable Flexible Hybrid Electronics in Healthcare, Energy, and Environment. ADVANCED MATERIALS (DEERFIELD BEACH, FLA.) 2020; 32:e1901924. [PMID: 31282063 DOI: 10.1002/adma.201901924] [Citation(s) in RCA: 274] [Impact Index Per Article: 68.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/27/2019] [Revised: 04/18/2019] [Indexed: 05/19/2023]
Abstract
Recent advances in soft materials and system integration technologies have provided a unique opportunity to design various types of wearable flexible hybrid electronics (WFHE) for advanced human healthcare and human-machine interfaces. The hybrid integration of soft and biocompatible materials with miniaturized wireless wearable systems is undoubtedly an attractive prospect in the sense that the successful device performance requires high degrees of mechanical flexibility, sensing capability, and user-friendly simplicity. Here, the most up-to-date materials, sensors, and system-packaging technologies to develop advanced WFHE are provided. Details of mechanical, electrical, physicochemical, and biocompatible properties are discussed with integrated sensor applications in healthcare, energy, and environment. In addition, limitations of the current materials are discussed, as well as key challenges and the future direction of WFHE. Collectively, an all-inclusive review of the newly developed WFHE along with a summary of imperative requirements of material properties, sensor capabilities, electronics performance, and skin integrations is provided.
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Affiliation(s)
- Hyo-Ryoung Lim
- George W. Woodruff School of Mechanical Engineering, Institute for Electronics and Nanotechnology, Georgia Institute of Technology, Atlanta, GA, 30332, USA
| | - Hee Seok Kim
- Department of Mechanical Engineering, University of South Alabama, Mobile, AL, 36608, USA
| | - Raza Qazi
- Department of Electrical, Computer & Energy Engineering, University of Colorado Boulder, Boulder, CO, 80309, USA
- School of Electrical Engineering, Korea Advanced Institute of Science and Technology, Daejeon, 34141, South Korea
| | - Young-Tae Kwon
- George W. Woodruff School of Mechanical Engineering, Institute for Electronics and Nanotechnology, Georgia Institute of Technology, Atlanta, GA, 30332, USA
| | - Jae-Woong Jeong
- School of Electrical Engineering, Korea Advanced Institute of Science and Technology, Daejeon, 34141, South Korea
| | - Woon-Hong Yeo
- George W. Woodruff School of Mechanical Engineering, Wallace H. Coulter Department of Biomedical Engineering, Institute for Electronics and Nanotechnology, Parker H. Petit Institute for Bioengineering and Biosciences, Center for Flexible and Wearable Electronics Advanced Research, Neural Engineering Center, Institute for Materials, Institute for Robotics and Intelligent Machines, Georgia Institute of Technology, Atlanta, GA, 30332, USA
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