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Liu Z, Song H, Lin G, Zhong W, Zhang Y, Yang A, Liu Y, Duan J, Zhou Y, Jiao K, Ding D, Feng Y, Yue J, Zhao W, Lin X. Wireless Intelligent Patch for Closed-loop In Situ Wound Management. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2024:e2400451. [PMID: 38828672 DOI: 10.1002/advs.202400451] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/12/2024] [Revised: 04/12/2024] [Indexed: 06/05/2024]
Abstract
Wound infections pose a major healthcare issue, affecting the well-being of millions of patients worldwide. Effective intervention and on-site detection are important in wound management. However, current approaches are hindered by time-consuming analysis and a lack of technology for real-time monitoring and prompt therapy delivery. In this study, a smart wound patch system (SWPS) designed for wireless closed-loop and in-situ wound management is presented. The SWPS integrates a microfluidic structure, an organic electrochemical transistor (OECT) based sensor, an electrical stimulation module, and a miniaturized flexible printed circuit board (FPCB). The OECT incorporates a bacteria-responsive DNA hydrogel-coated gate for continuous monitoring of bacterial virulence at wound sites. Real-time detection of OECT readings and on-demand delivery of electrical cues to accelerate wound healing is facilitated by a mobile phone application linked with an FPCB containing low-power electronics equipped with parallel sensing and stimulation circuitry. In this proof-of-concept study, the functionality of the SWPS is validated and its application both in vitro and in vivo is demonstrated. This proposed system expands the arsenal of tools available for effective wound management and enables personalized treatment.
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Affiliation(s)
- Zijian Liu
- Guangdong Provincial Key Laboratory of Sensor Technology and Biomedical Instrument, School of Biomedical Engineering, Shenzhen Campus of Sun Yat-Sen University, Shenzhen, 518000, China
| | - Hao Song
- Guangdong Provincial Key Laboratory of Sensor Technology and Biomedical Instrument, School of Biomedical Engineering, Shenzhen Campus of Sun Yat-Sen University, Shenzhen, 518000, China
| | - Guanming Lin
- Guangdong Provincial Key Laboratory of Sensor Technology and Biomedical Instrument, School of Biomedical Engineering, Shenzhen Campus of Sun Yat-Sen University, Shenzhen, 518000, China
| | - Weicong Zhong
- Shenzhen Key Laboratory for Systems Medicine in Inflammatory Diseases, School of Medicine, Shenzhen Campus of Sun Yat-Sen University, Shenzhen, 518000, China
| | - Yang Zhang
- Guangdong Provincial Key Laboratory of Sensor Technology and Biomedical Instrument, School of Biomedical Engineering, Shenzhen Campus of Sun Yat-Sen University, Shenzhen, 518000, China
| | - Anqi Yang
- Guangdong Provincial Key Laboratory of Sensor Technology and Biomedical Instrument, School of Biomedical Engineering, Shenzhen Campus of Sun Yat-Sen University, Shenzhen, 518000, China
| | - Yuxin Liu
- Guangdong Provincial Key Laboratory of Sensor Technology and Biomedical Instrument, School of Biomedical Engineering, Shenzhen Campus of Sun Yat-Sen University, Shenzhen, 518000, China
| | - Junhan Duan
- Guangdong Provincial Key Laboratory of Sensor Technology and Biomedical Instrument, School of Biomedical Engineering, Shenzhen Campus of Sun Yat-Sen University, Shenzhen, 518000, China
| | - Yajing Zhou
- Guangdong Provincial Key Laboratory of Sensor Technology and Biomedical Instrument, School of Biomedical Engineering, Shenzhen Campus of Sun Yat-Sen University, Shenzhen, 518000, China
| | - Kangjian Jiao
- Guangdong Provincial Key Laboratory of Sensor Technology and Biomedical Instrument, School of Biomedical Engineering, Shenzhen Campus of Sun Yat-Sen University, Shenzhen, 518000, China
| | - Donghai Ding
- Guangdong Provincial Key Laboratory of Sensor Technology and Biomedical Instrument, School of Biomedical Engineering, Shenzhen Campus of Sun Yat-Sen University, Shenzhen, 518000, China
| | - Yanwen Feng
- Guangdong Provincial Key Laboratory of Sensor Technology and Biomedical Instrument, School of Biomedical Engineering, Shenzhen Campus of Sun Yat-Sen University, Shenzhen, 518000, China
| | - Jun Yue
- Guangdong Provincial Key Laboratory of Sensor Technology and Biomedical Instrument, School of Biomedical Engineering, Shenzhen Campus of Sun Yat-Sen University, Shenzhen, 518000, China
| | - Wenjing Zhao
- Shenzhen Key Laboratory for Systems Medicine in Inflammatory Diseases, School of Medicine, Shenzhen Campus of Sun Yat-Sen University, Shenzhen, 518000, China
| | - Xudong Lin
- Guangdong Provincial Key Laboratory of Sensor Technology and Biomedical Instrument, School of Biomedical Engineering, Shenzhen Campus of Sun Yat-Sen University, Shenzhen, 518000, China
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2
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Kelly AR, Glover DJ. Information Transmission through Biotic-Abiotic Interfaces to Restore or Enhance Human Function. ACS APPLIED BIO MATERIALS 2024. [PMID: 38729914 DOI: 10.1021/acsabm.4c00435] [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: 05/12/2024]
Abstract
Advancements in reliable information transfer across biotic-abiotic interfaces have enabled the restoration of lost human function. For example, communication between neuronal cells and electrical devices restores the ability to walk to a tetraplegic patient and vision to patients blinded by retinal disease. These impactful medical achievements are aided by tailored biotic-abiotic interfaces that maximize information transfer fidelity by considering the physical properties of the underlying biological and synthetic components. This Review develops a modular framework to define and describe the engineering of biotic and abiotic components as well as the design of interfaces to facilitate biotic-abiotic information transfer using light or electricity. Delineating the properties of the biotic, interface, and abiotic components that enable communication can serve as a guide for future research in this highly interdisciplinary field. Application of synthetic biology to engineer light-sensitive proteins has facilitated the control of neural signaling and the restoration of rudimentary vision after retinal blindness. Electrophysiological methodologies that use brain-computer interfaces and stimulating implants to bypass spinal column injuries have led to the rehabilitation of limb movement and walking ability. Cellular interfacing methodologies and on-chip learning capability have been made possible by organic transistors that mimic the information processing capacity of neurons. The collaboration of molecular biologists, material scientists, and electrical engineers in the emerging field of biotic-abiotic interfacing will lead to the development of prosthetics capable of responding to thought and experiencing touch sensation via direct integration into the human nervous system. Further interdisciplinary research will improve electrical and optical interfacing technologies for the restoration of vision, offering greater visual acuity and potentially color vision in the near future.
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Affiliation(s)
- Alexander R Kelly
- School of Biotechnology and Biomolecular Sciences, University of New South Wales, Sydney, NSW 2052, Australia
| | - Dominic J Glover
- School of Biotechnology and Biomolecular Sciences, University of New South Wales, Sydney, NSW 2052, Australia
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3
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Guo J, Chen SE, Giridharagopal R, Bischak CG, Onorato JW, Yan K, Shen Z, Li CZ, Luscombe CK, Ginger DS. Understanding asymmetric switching times in accumulation mode organic electrochemical transistors. NATURE MATERIALS 2024; 23:656-663. [PMID: 38632374 DOI: 10.1038/s41563-024-01875-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/02/2023] [Accepted: 03/19/2024] [Indexed: 04/19/2024]
Abstract
Understanding the factors underpinning device switching times is crucial for the implementation of organic electrochemical transistors in neuromorphic computing, bioelectronics and real-time sensing applications. Existing models of device operation cannot explain the experimental observations that turn-off times are generally much faster than turn-on times in accumulation mode organic electrochemical transistors. Here, using operando optical microscopy, we image the local doping level of the transistor channel and show that turn-on occurs in two stages-propagation of a doping front, followed by uniform doping-while turn-off occurs in one stage. We attribute the faster turn-off to a combination of engineering as well as physical and chemical factors including channel geometry, differences in doping and dedoping kinetics and the phenomena of carrier-density-dependent mobility. We show that ion transport limits the operation speed in our devices. Our study provides insights into the kinetics of organic electrochemical transistors and guidelines for engineering faster organic electrochemical transistors.
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Affiliation(s)
- Jiajie Guo
- Molecular Engineering and Sciences Institute, University of Washington, Seattle, WA, USA
| | - Shinya E Chen
- Molecular Engineering and Sciences Institute, University of Washington, Seattle, WA, USA
| | | | - Connor G Bischak
- Department of Chemistry, University of Washington, Seattle, WA, USA
| | - Jonathan W Onorato
- Department of Materials Science and Engineering, University of Washington, Seattle, WA, USA
| | - Kangrong Yan
- State Key Laboratory of Silicon and Advanced Semiconductor Materials, Department of Polymer Science and Engineering, Zhejiang University, Hangzhou, P. R. China
| | - Ziqiu Shen
- State Key Laboratory of Silicon and Advanced Semiconductor Materials, Department of Polymer Science and Engineering, Zhejiang University, Hangzhou, P. R. China
| | - Chang-Zhi Li
- State Key Laboratory of Silicon and Advanced Semiconductor Materials, Department of Polymer Science and Engineering, Zhejiang University, Hangzhou, P. R. China
| | - Christine K Luscombe
- Department of Materials Science and Engineering, University of Washington, Seattle, WA, USA
- pi-Conjugated Polymers Unit, Okinawa Institute of Science and Technology Graduate University, Onna-son, Japan
| | - David S Ginger
- Department of Chemistry, University of Washington, Seattle, WA, USA.
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4
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Song J, Liu H, Zhao Z, Lin P, Yan F. Flexible Organic Transistors for Biosensing: Devices and Applications. ADVANCED MATERIALS (DEERFIELD BEACH, FLA.) 2024; 36:e2300034. [PMID: 36853083 DOI: 10.1002/adma.202300034] [Citation(s) in RCA: 16] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/02/2023] [Revised: 02/20/2023] [Indexed: 06/18/2023]
Abstract
Flexible and stretchable biosensors can offer seamless and conformable biological-electronic interfaces for continuously acquiring high-fidelity signals, permitting numerous emerging applications. Organic thin film transistors (OTFTs) are ideal transducers for flexible and stretchable biosensing due to their soft nature, inherent amplification function, biocompatibility, ease of functionalization, low cost, and device diversity. In consideration of the rapid advances in flexible-OTFT-based biosensors and their broad applications, herein, a timely and comprehensive review is provided. It starts with a detailed introduction to the features of various OTFTs including organic field-effect transistors and organic electrochemical transistors, and the functionalization strategies for biosensing, with a highlight on the seminal work and up-to-date achievements. Then, the applications of flexible-OTFT-based biosensors in wearable, implantable, and portable electronics, as well as neuromorphic biointerfaces are detailed. Subsequently, special attention is paid to emerging stretchable organic transistors including planar and fibrous devices. The routes to impart stretchability, including structural engineering and material engineering, are discussed, and the implementations of stretchable organic transistors in e-skin and smart textiles are included. Finally, the remaining challenges and the future opportunities in this field are summarized.
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Affiliation(s)
- Jiajun Song
- Department of Applied Physics, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong, 999077, P. R. China
| | - Hong Liu
- Department of Applied Physics, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong, 999077, P. R. China
| | - Zeyu Zhao
- Department of Applied Physics, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong, 999077, P. R. China
| | - Peng Lin
- Shenzhen Key Laboratory of Special Functional Materials and Guangdong Research Center for Interfacial Engineering of Functional Materials, College of Materials Science and Engineering, Shenzhen University, Shenzhen, 518060, P. R. China
| | - Feng Yan
- Department of Applied Physics, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong, 999077, P. R. China
- Research Institute of Intelligent Wearable Systems, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong, 999077, P. R. China
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5
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Hu C, Wang L, Liu S, Sheng X, Yin L. Recent Development of Implantable Chemical Sensors Utilizing Flexible and Biodegradable Materials for Biomedical Applications. ACS NANO 2024; 18:3969-3995. [PMID: 38271679 DOI: 10.1021/acsnano.3c11832] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/27/2024]
Abstract
Implantable chemical sensors built with flexible and biodegradable materials exhibit immense potential for seamless integration with biological systems by matching the mechanical properties of soft tissues and eliminating device retraction procedures. Compared with conventional hospital-based blood tests, implantable chemical sensors have the capability to achieve real-time monitoring with high accuracy of important biomarkers such as metabolites, neurotransmitters, and proteins, offering valuable insights for clinical applications. These innovative sensors could provide essential information for preventive diagnosis and effective intervention. To date, despite extensive research on flexible and bioresorbable materials for implantable electronics, the development of chemical sensors has faced several challenges related to materials and device design, resulting in only a limited number of successful accomplishments. This review highlights recent advancements in implantable chemical sensors based on flexible and biodegradable materials, encompassing their sensing strategies, materials strategies, and geometric configurations. The following discussions focus on demonstrated detection of various objects including ions, small molecules, and a few examples of macromolecules using flexible and/or bioresorbable implantable chemical sensors. Finally, we will present current challenges and explore potential future directions.
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Affiliation(s)
- Chen Hu
- School of Materials Science and Engineering, The Key Laboratory of Advanced Materials of Ministry of Education, State Key Laboratory of New Ceramics and Fine Processing, Laboratory of Flexible Electronics Technology, Tsinghua University, Beijing 100084, P. R. China
| | - Liu Wang
- Key Laboratory of Biomechanics and Mechanobiology of Ministry of Education, Beijing Advanced Innovation Center for Biomedical Engineering, School of Biological Science and Medical Engineering, Beihang University, Beijing 100083, P. R. China
| | - Shangbin Liu
- School of Materials Science and Engineering, The Key Laboratory of Advanced Materials of Ministry of Education, State Key Laboratory of New Ceramics and Fine Processing, Laboratory of Flexible Electronics Technology, Tsinghua University, Beijing 100084, P. R. China
| | - Xing Sheng
- Department of Electronic Engineering, Beijing National Research Center for Information Science and Technology, Institute for Precision Medicine, Laboratory of Flexible Electronics Technology, IDG/McGovern Institute for Brain Research, Tsinghua University, Beijing 100084, P. R. China
| | - Lan Yin
- School of Materials Science and Engineering, The Key Laboratory of Advanced Materials of Ministry of Education, State Key Laboratory of New Ceramics and Fine Processing, Laboratory of Flexible Electronics Technology, Tsinghua University, Beijing 100084, P. R. China
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6
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Park J, Kang S, Lee Y, Choi JW, Oh YS. Continuous long-range measurement of tonic dopamine with advanced FSCV for pharmacodynamic analysis of levodopa-induced dyskinesia in Parkinson's disease. Front Bioeng Biotechnol 2024; 12:1335474. [PMID: 38328444 PMCID: PMC10847580 DOI: 10.3389/fbioe.2024.1335474] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2023] [Accepted: 01/12/2024] [Indexed: 02/09/2024] Open
Abstract
Levodopa, a dopamine prodrug, alleviates the motor symptoms of Parkinson's disease (PD), but its chronic use gives rise to levodopa-induced dyskinesia (LID). However, it remains unclear whether levodopa pharmacodynamics is altered during the progressive onset of LID. Using in vivo fast-scan cyclic voltammetry and second-derivative-based background drift removal, we continuously measured tonic dopamine levels using high temporal resolution recording over 1-h. Increases to tonic dopamine levels following acute levodopa administration were slow and marginal within the naïve PD model. However, these levels increased faster and higher in the LID model. Furthermore, we identified a strong positive correlation of dyskinetic behavior with the rate of dopamine increase, but much less with its cumulative level, at each time point. Here, we identified the altered signature of striatal DA dynamics underlying LID in PD using an advanced FSCV technique that demonstrates the long-range dynamics of tonic dopamine following drug administration.
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Affiliation(s)
- Jeongrak Park
- Department of Brain Science, Daegu Gyeongbuk Institute of Science and Technology (DGIST), Daegu, Republic of Korea
| | - Seongtak Kang
- Department of Electrical Engineering and Computer Science, Daegu Gyeongbuk Institute of Science and Technology, Daegu, Republic of Korea
| | - Yaebin Lee
- Department of Electrical Engineering and Computer Science, Daegu Gyeongbuk Institute of Science and Technology, Daegu, Republic of Korea
| | - Ji-Woong Choi
- Department of Electrical Engineering and Computer Science, Daegu Gyeongbuk Institute of Science and Technology, Daegu, Republic of Korea
| | - Yong-Seok Oh
- Department of Brain Science, Daegu Gyeongbuk Institute of Science and Technology (DGIST), Daegu, Republic of Korea
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7
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Liu H, Song J, Zhao Z, Zhao S, Tian Z, Yan F. Organic Electrochemical Transistors for Biomarker Detections. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2024:e2305347. [PMID: 38263718 DOI: 10.1002/advs.202305347] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/03/2023] [Revised: 10/16/2023] [Indexed: 01/25/2024]
Abstract
The improvement of living standards and the advancement of medical technology have led to an increased focus on health among individuals. Detections of biomarkers are feasible approaches to obtaining information about health status, disease progression, and response to treatment of an individual. In recent years, organic electrochemical transistors (OECTs) have demonstrated high electrical performances and effectiveness in detecting various types of biomarkers. This review provides an overview of the working principles of OECTs and their performance in detecting multiple types of biomarkers, with a focus on the recent advances and representative applications of OECTs in wearable and implantable biomarker detections, and provides a perspective for the future development of OECT-based biomarker sensors.
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Affiliation(s)
- Hong Liu
- Department of Applied Physics, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong, 999077, P. R. China
| | - Jiajun Song
- Department of Applied Physics, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong, 999077, P. R. China
| | - Zeyu Zhao
- Department of Applied Physics, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong, 999077, P. R. China
| | - Sanqing Zhao
- Department of Applied Physics, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong, 999077, P. R. China
| | - Zhiyuan Tian
- Department of Applied Physics, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong, 999077, P. R. China
| | - Feng Yan
- Department of Applied Physics, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong, 999077, P. R. China
- Research Institute of Intelligent Wearable Systems, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong, 999077, P. R. China
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8
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Enrico A, Buchmann S, De Ferrari F, Lin Y, Wang Y, Yue W, Mårtensson G, Stemme G, Hamedi MM, Niklaus F, Herland A, Zeglio E. Cleanroom-Free Direct Laser Micropatterning of Polymers for Organic Electrochemical Transistors in Logic Circuits and Glucose Biosensors. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2024:e2307042. [PMID: 38225700 DOI: 10.1002/advs.202307042] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/24/2023] [Revised: 12/01/2023] [Indexed: 01/17/2024]
Abstract
Organic electrochemical transistors (OECTs) are promising devices for bioelectronics, such as biosensors. However, current cleanroom-based microfabrication of OECTs hinders fast prototyping and widespread adoption of this technology for low-volume, low-cost applications. To address this limitation, a versatile and scalable approach for ultrafast laser microfabrication of OECTs is herein reported, where a femtosecond laser to pattern insulating polymers (such as parylene C or polyimide) is first used, exposing the underlying metal electrodes serving as transistor terminals (source, drain, or gate). After the first patterning step, conducting polymers, such as poly(3,4-ethylenedioxythiophene):poly(styrene sulfonate) (PEDOT:PSS), or semiconducting polymers, are spin-coated on the device surface. Another femtosecond laser patterning step subsequently defines the active polymer area contributing to the OECT performance by disconnecting the channel and gate from the surrounding spin-coated film. The effective OECT width can be defined with high resolution (down to 2 µm) in less than a second of exposure. Micropatterning the OECT channel area significantly improved the transistor switching performance in the case of PEDOT:PSS-based transistors, speeding up the devices by two orders of magnitude. The utility of this OECT manufacturing approach is demonstrated by fabricating complementary logic (inverters) and glucose biosensors, thereby showing its potential to accelerate OECT research.
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Affiliation(s)
- Alessandro Enrico
- Department of Micro and Nanosystems, KTH Royal Institute of Technology, Malvinas väg 10, Stockholm, 100 44, Sweden
- Synthetic Physiology lab, Department of Civil Engineering and Architecture, University of Pavia, Via Ferrata 3, Pavia, 27100, Italy
| | - Sebastian Buchmann
- Division of Nanobiotechnology, SciLifeLab, Department of Protein Science, KTH Royal Institute of Technology, Tomtebodavägen 23a, Solna, 171 65, Sweden
- AIMES - Center for the Advancement of Integrated Medical and Engineering Sciences, Department of Neuroscience, Karolinska Institute, Stockholm, 17177, Sweden
| | - Fabio De Ferrari
- Department of Micro and Nanosystems, KTH Royal Institute of Technology, Malvinas väg 10, Stockholm, 100 44, Sweden
| | - Yunfan Lin
- Division of Nanobiotechnology, SciLifeLab, Department of Protein Science, KTH Royal Institute of Technology, Tomtebodavägen 23a, Solna, 171 65, Sweden
| | - Yazhou Wang
- Guangzhou Key Laboratory of Flexible Electronic Materials and Wearable Devices, School of Materials Science and Engineering, Sun Yat-sen University, Guangzhou, 510275, P. R. China
| | - Wan Yue
- Key Laboratory for Polymeric Composite and Functional Materials of Ministry of Education, School of Materials Science and Engineering, Sun Yat-sen University, Guangzhou, 510275, P. R. China
| | - Gustaf Mårtensson
- Division of Nanobiotechnology, SciLifeLab, Department of Protein Science, KTH Royal Institute of Technology, Tomtebodavägen 23a, Solna, 171 65, Sweden
- Mycronic AB, Nytorpsvägen 9, Täby, 183 53, Sweden
| | - Göran Stemme
- Department of Micro and Nanosystems, KTH Royal Institute of Technology, Malvinas väg 10, Stockholm, 100 44, Sweden
| | - Mahiar Max Hamedi
- Department of Fibre and Polymer Technology, School of Engineering Sciences in Chemistry, Biotechnology and Health, KTH Royal Institute of Technology, Teknikringen 56, Stockholm, 10044, Sweden
| | - Frank Niklaus
- Department of Micro and Nanosystems, KTH Royal Institute of Technology, Malvinas väg 10, Stockholm, 100 44, Sweden
| | - Anna Herland
- Division of Nanobiotechnology, SciLifeLab, Department of Protein Science, KTH Royal Institute of Technology, Tomtebodavägen 23a, Solna, 171 65, Sweden
- AIMES - Center for the Advancement of Integrated Medical and Engineering Sciences, Department of Neuroscience, Karolinska Institute, Stockholm, 17177, Sweden
| | - Erica Zeglio
- Division of Nanobiotechnology, SciLifeLab, Department of Protein Science, KTH Royal Institute of Technology, Tomtebodavägen 23a, Solna, 171 65, Sweden
- AIMES - Center for the Advancement of Integrated Medical and Engineering Sciences, Department of Neuroscience, Karolinska Institute, Stockholm, 17177, Sweden
- Wallenberg Initiative Materials Science for Sustainability, Department of Materials and Environmental Chemistry, Stockholm University, Stockholm, 114 18, Sweden
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Chen J, Ding X, Zhang D. Challenges and strategies faced in the electrochemical biosensing analysis of neurochemicals in vivo: A review. Talanta 2024; 266:124933. [PMID: 37506520 DOI: 10.1016/j.talanta.2023.124933] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2023] [Revised: 07/07/2023] [Accepted: 07/10/2023] [Indexed: 07/30/2023]
Abstract
Our brain is an intricate neuromodulatory network, and various neurochemicals, including neurotransmitters, neuromodulators, gases, ions, and energy metabolites, play important roles in regulating normal brain function. Abnormal release or imbalance of these substances will lead to various diseases such as Parkinson's and Alzheimer's diseases, therefore, in situ and real-time analysis of neurochemical interactions in pathophysiological conditions is beneficial to facilitate our understanding of brain function. Implantable electrochemical biosensors are capable of monitoring neurochemical signals in real time in extracellular fluid of specific brain regions because they can provide excellent temporal and spatial resolution. However, in vivo electrochemical biosensing analysis mainly faces the following challenges: First, foreign body reactions induced by microelectrode implantation, non-specific adsorption of proteins and redox products, and aggregation of glial cells, which will cause irreversible degradation of performance such as stability and sensitivity of the microsensor and eventually lead to signal loss; Second, various neurochemicals coexist in the complex brain environment, and electroactive substances with similar formal potentials interfere with each other. Therefore, it is a great challenge to design recognition molecules and tailor functional surfaces to develop in vivo electrochemical biosensors with high selectivity. Here, we take the above challenges as a starting point and detail the basic design principles for improving in vivo stability, selectivity and sensitivity of microsensors through some specific functionalized surface strategies as case studies. At the same time, we summarize surface modification strategies for in vivo electrochemical biosensing analysis of some important neurochemicals for researchers' reference. In addition, we also focus on the electrochemical detection of low basal concentrations of neurochemicals in vivo via amperometric waveform techniques, as well as the stability and biocompatibility of reference electrodes during long-term sensing, and provide an outlook on the future direction of in vivo electrochemical neurosensing.
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Affiliation(s)
- Jiatao Chen
- School of Pharmacy, Health Science Center, Xi'an Jiaotong University, Xi'an, 710061, China
| | - Xiuting Ding
- School of Pharmacy, Health Science Center, Xi'an Jiaotong University, Xi'an, 710061, China
| | - Dongdong Zhang
- School of Pharmacy, Health Science Center, Xi'an Jiaotong University, Xi'an, 710061, China.
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10
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Kim H, Won Y, Song HW, Kwon Y, Jun M, Oh JH. Organic Mixed Ionic-Electronic Conductors for Bioelectronic Sensors: Materials and Operation Mechanisms. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2023:e2306191. [PMID: 38148583 DOI: 10.1002/advs.202306191] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/30/2023] [Revised: 12/18/2023] [Indexed: 12/28/2023]
Abstract
The field of organic mixed ionic-electronic conductors (OMIECs) has gained significant attention due to their ability to transport both electrons and ions, making them promising candidates for various applications. Initially focused on inorganic materials, the exploration of mixed conduction has expanded to organic materials, especially polymers, owing to their advantages such as solution processability, flexibility, and property tunability. OMIECs, particularly in the form of polymers, possess both electronic and ionic transport functionalities. This review provides an overview of OMIECs in various aspects covering mechanisms of charge transport including electronic transport, ionic transport, and ionic-electronic coupling, as well as conducting/semiconducting conjugated polymers and their applications in organic bioelectronics, including (multi)sensors, neuromorphic devices, and electrochromic devices. OMIECs show promise in organic bioelectronics due to their compatibility with biological systems and the ability to modulate electronic conduction and ionic transport, resembling the principles of biological systems. Organic electrochemical transistors (OECTs) based on OMIECs offer significant potential for bioelectronic applications, responding to external stimuli through modulation of ionic transport. An in-depth review of recent research achievements in organic bioelectronic applications using OMIECs, categorized based on physical and chemical stimuli as well as neuromorphic devices and circuit applications, is presented.
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Affiliation(s)
- Hyunwook Kim
- School of Chemical and Biological Engineering, Institute of Chemical Processes, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul, 08826, Republic of Korea
| | - Yousang Won
- School of Chemical and Biological Engineering, Institute of Chemical Processes, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul, 08826, Republic of Korea
| | - Hyun Woo Song
- School of Chemical and Biological Engineering, Institute of Chemical Processes, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul, 08826, Republic of Korea
| | - Yejin Kwon
- School of Chemical and Biological Engineering, Institute of Chemical Processes, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul, 08826, Republic of Korea
| | - Minsang Jun
- School of Chemical and Biological Engineering, Institute of Chemical Processes, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul, 08826, Republic of Korea
| | - Joon Hak Oh
- School of Chemical and Biological Engineering, Institute of Chemical Processes, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul, 08826, Republic of Korea
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Corrado F, Bruno U, Prato M, Carella A, Criscuolo V, Massaro A, Pavone M, Muñoz-García AB, Forti S, Coletti C, Bettucci O, Santoro F. Azobenzene-based optoelectronic transistors for neurohybrid building blocks. Nat Commun 2023; 14:6760. [PMID: 37919279 PMCID: PMC10622443 DOI: 10.1038/s41467-023-41083-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2022] [Accepted: 08/21/2023] [Indexed: 11/04/2023] Open
Abstract
Exploiting the light-matter interplay to realize advanced light responsive multimodal platforms is an emerging strategy to engineer bioinspired systems such as optoelectronic synaptic devices. However, existing neuroinspired optoelectronic devices rely on complex processing of hybrid materials which often do not exhibit the required features for biological interfacing such as biocompatibility and low Young's modulus. Recently, organic photoelectrochemical transistors (OPECTs) have paved the way towards multimodal devices that can better couple to biological systems benefiting from the characteristics of conjugated polymers. Neurohybrid OPECTs can be designed to optimally interface neuronal systems while resembling typical plasticity-driven processes to create more sophisticated integrated architectures between neuron and neuromorphic ends. Here, an innovative photo-switchable PEDOT:PSS was synthesized and successfully integrated into an OPECT. The OPECT device uses an azobenzene-based organic neuro-hybrid building block to mimic the retina's structure exhibiting the capability to emulate visual pathways. Moreover, dually operating the device with opto- and electrical functions, a light-dependent conditioning and extinction processes were achieved faithful mimicking synaptic neural functions such as short- and long-term plasticity.
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Affiliation(s)
- Federica Corrado
- Institute of Biological Information Processing IBI-3 Bioelectronics, Forschungszentrum Juelich, 52428, Juelich, Germany
- Neuroelectronic Interfaces, Faculty of Electrical Engineering and IT, RWTH Aachen, 52074, Aachen, Germany
- Tissue Electronics, Center fo Advanced Biomaterials for Healthcare, Istituto Italiano di Tecnologia, 80125, Naples, Italy
| | - Ugo Bruno
- Tissue Electronics, Center fo Advanced Biomaterials for Healthcare, Istituto Italiano di Tecnologia, 80125, Naples, Italy
- Dipartimento di Ingegneria Chimica, dei Materiali e della Produzione Industriale, Università degli Studi di Napoli Federico II, 80125, Naples, Italy
| | - Mirko Prato
- Materials Characterization Facility, Istituto Italiano di Tecnologia, 16163, Genoa, Italy
| | - Antonio Carella
- Dipartimento di Scienze Chimiche, Università degli Studi di Napoli "Federico II", Complesso Universitario Monte S. Angelo, 80126, Naples, Italy
| | - Valeria Criscuolo
- Institute of Biological Information Processing IBI-3 Bioelectronics, Forschungszentrum Juelich, 52428, Juelich, Germany
- Neuroelectronic Interfaces, Faculty of Electrical Engineering and IT, RWTH Aachen, 52074, Aachen, Germany
- Tissue Electronics, Center fo Advanced Biomaterials for Healthcare, Istituto Italiano di Tecnologia, 80125, Naples, Italy
| | - Arianna Massaro
- Dipartimento di Scienze Chimiche, Università degli Studi di Napoli "Federico II", Complesso Universitario Monte S. Angelo, 80126, Naples, Italy
| | - Michele Pavone
- Dipartimento di Scienze Chimiche, Università degli Studi di Napoli "Federico II", Complesso Universitario Monte S. Angelo, 80126, Naples, Italy
| | - Ana B Muñoz-García
- Dipartimento di Fisica "E. Pancini", Università degli Studi di Napoli "Federico II", Complesso Universitario Monte S. Angelo, 80126, Naples, Italy
| | - Stiven Forti
- Center for Nanotechnology Innovation, Istituto Italiano di Tecnologia, 56127, Pisa, Italy
| | - Camilla Coletti
- Center for Nanotechnology Innovation, Istituto Italiano di Tecnologia, 56127, Pisa, Italy
| | - Ottavia Bettucci
- Tissue Electronics, Center fo Advanced Biomaterials for Healthcare, Istituto Italiano di Tecnologia, 80125, Naples, Italy.
- Department of Materials Science and Milano-Bicocca Solar Energy Research Center - MIB-Solar, University of Milano-Bicocca, 20125, Milano, Italy.
| | - Francesca Santoro
- Institute of Biological Information Processing IBI-3 Bioelectronics, Forschungszentrum Juelich, 52428, Juelich, Germany.
- Neuroelectronic Interfaces, Faculty of Electrical Engineering and IT, RWTH Aachen, 52074, Aachen, Germany.
- Tissue Electronics, Center fo Advanced Biomaterials for Healthcare, Istituto Italiano di Tecnologia, 80125, Naples, Italy.
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12
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Choi HK, Choi JH, Yoon J. An Updated Review on Electrochemical Nanobiosensors for Neurotransmitter Detection. BIOSENSORS 2023; 13:892. [PMID: 37754127 PMCID: PMC10526534 DOI: 10.3390/bios13090892] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/24/2023] [Revised: 09/14/2023] [Accepted: 09/18/2023] [Indexed: 09/28/2023]
Abstract
Neurotransmitters are chemical compounds released by nerve cells, including neurons, astrocytes, and oligodendrocytes, that play an essential role in the transmission of signals in living organisms, particularly in the central nervous system, and they also perform roles in realizing the function and maintaining the state of each organ in the body. The dysregulation of neurotransmitters can cause neurological disorders. This highlights the significance of precise neurotransmitter monitoring to allow early diagnosis and treatment. This review provides a complete multidisciplinary examination of electrochemical biosensors integrating nanomaterials and nanotechnologies in order to achieve the accurate detection and monitoring of neurotransmitters. We introduce extensively researched neurotransmitters and their respective functions in biological beings. Subsequently, electrochemical biosensors are classified based on methodologies employed for direct detection, encompassing the recently documented cell-based electrochemical monitoring systems. These methods involve the detection of neurotransmitters in neuronal cells in vitro, the identification of neurotransmitters emitted by stem cells, and the in vivo monitoring of neurotransmitters. The incorporation of nanomaterials and nanotechnologies into electrochemical biosensors has the potential to assist in the timely detection and management of neurological disorders. This study provides significant insights for researchers and clinicians regarding precise neurotransmitter monitoring and its implications regarding numerous biological applications.
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Affiliation(s)
- Hye Kyu Choi
- Department of Chemistry and Chemical Biology, Rutgers, The State University of New Jersey, Piscataway, NJ 08854, USA;
| | - Jin-Ha Choi
- School of Chemical Engineering, Clean Energy Research Center, Jeonbuk National University, Jeonju 54896, Republic of Korea
| | - Jinho Yoon
- Department of Biomedical-Chemical Engineering, The Catholic University of Korea, Bucheon 14662, Republic of Korea
- Department of Biotechnology, The Catholic University of Korea, Bucheon 14662, Republic of Korea
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13
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Talin AA, Li Y, Robinson DA, Fuller EJ, Kumar S. ECRAM Materials, Devices, Circuits and Architectures: A Perspective. ADVANCED MATERIALS (DEERFIELD BEACH, FLA.) 2023; 35:e2204771. [PMID: 36354177 DOI: 10.1002/adma.202204771] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/26/2022] [Revised: 07/09/2022] [Indexed: 06/16/2023]
Abstract
Non-von-Neumann computing using neuromorphic systems based on two-terminal resistive nonvolatile memory elements has emerged as a promising approach, but its full potential has not been realized due to the lack of materials and devices with the appropriate attributes. Unlike memristors, which require large write currents to drive phase transformations or filament growth, electrochemical random access memory (ECRAM) decouples the "write" and "read" operations using a "gate" electrode to tune the conductance state through charge-transfer reactions, and every electron transferred through the external circuit in ECRAM corresponds to the migration of ≈1 ion used to store analogue information. Like static dopants in traditional semiconductors, electrochemically inserted ions modulate the conductivity by locally perturbing a host's electronic structure; however, ECRAM does so in a dynamic and reversible manner. The resulting change in conductance can span orders of magnitude, from gradual increments needed for analog elements, to large, abrupt changes for dynamically reconfigurable adaptive architectures. In this in-depth perspective, the history of ECRAM, the recent progress in devices spanning organic, inorganic, and 2D materials, circuits, architectures, the rich portfolio of challenging, fundamental questions, and how ECRAM can be harnessed to realize a new paradigm for low-power neuromorphic computing are discussed.
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Affiliation(s)
- A Alec Talin
- Sandia National Laboratories, Livermore, CA, 94551, USA
| | - Yiyang Li
- Department of Materials Science and Engineering, University of Michigan, Ann Arbor, MI, 48109, USA
| | | | | | - Suhas Kumar
- Sandia National Laboratories, Livermore, CA, 94551, USA
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14
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Yao Y, Huang W, Chen J, Liu X, Bai L, Chen W, Cheng Y, Ping J, Marks TJ, Facchetti A. Flexible and Stretchable Organic Electrochemical Transistors for Physiological Sensing Devices. ADVANCED MATERIALS (DEERFIELD BEACH, FLA.) 2023; 35:e2209906. [PMID: 36808773 DOI: 10.1002/adma.202209906] [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: 10/26/2022] [Revised: 01/31/2023] [Indexed: 06/18/2023]
Abstract
Flexible and stretchable bioelectronics provides a biocompatible interface between electronics and biological systems and has received tremendous attention for in situ monitoring of various biological systems. Considerable progress in organic electronics has made organic semiconductors, as well as other organic electronic materials, ideal candidates for developing wearable, implantable, and biocompatible electronic circuits due to their potential mechanical compliance and biocompatibility. Organic electrochemical transistors (OECTs), as an emerging class of organic electronic building blocks, exhibit significant advantages in biological sensing due to the ionic nature at the basis of the switching behavior, low driving voltage (<1 V), and high transconductance (in millisiemens range). During the past few years, significant progress in constructing flexible/stretchable OECTs (FSOECTs) for both biochemical and bioelectrical sensors has been reported. In this regard, to summarize major research accomplishments in this emerging field, this review first discusses structure and critical features of FSOECTs, including working principles, materials, and architectural engineering. Next, a wide spectrum of relevant physiological sensing applications, where FSOECTs are the key components, are summarized. Last, major challenges and opportunities for further advancing FSOECT physiological sensors are discussed.
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Affiliation(s)
- Yao Yao
- School of Biosystems Engineering and Food Science, Zhejiang University, 866 Yuhangtang Road, Hangzhou, 310058, P. R. China
- Innovation Platform of Micro/Nano Technology for Biosensing, ZJU-Hangzhou Global Scientific and Technological Innovation Center, Hangzhou, 311200, P. R. China
- Department of Chemistry and the Materials Research Center, Northwestern University, Sheridan Road, Evanston, IL, 60208, USA
| | - Wei Huang
- Department of Chemistry and the Materials Research Center, Northwestern University, Sheridan Road, Evanston, IL, 60208, USA
- School of Automation Engineering, University of Electronic Science and Technology of China (UESTC), Chengdu, Sichuan, 611731, P. R. China
| | - Jianhua Chen
- Department of Chemistry and the Materials Research Center, Northwestern University, Sheridan Road, Evanston, IL, 60208, USA
| | - Xiaoxue Liu
- School of Biosystems Engineering and Food Science, Zhejiang University, 866 Yuhangtang Road, Hangzhou, 310058, P. R. China
- Innovation Platform of Micro/Nano Technology for Biosensing, ZJU-Hangzhou Global Scientific and Technological Innovation Center, Hangzhou, 311200, P. R. China
| | - Libing Bai
- School of Automation Engineering, University of Electronic Science and Technology of China (UESTC), Chengdu, Sichuan, 611731, P. R. China
| | - Wei Chen
- School of Biosystems Engineering and Food Science, Zhejiang University, 866 Yuhangtang Road, Hangzhou, 310058, P. R. China
| | - Yuhua Cheng
- School of Automation Engineering, University of Electronic Science and Technology of China (UESTC), Chengdu, Sichuan, 611731, P. R. China
| | - Jianfeng Ping
- School of Biosystems Engineering and Food Science, Zhejiang University, 866 Yuhangtang Road, Hangzhou, 310058, P. R. China
- Innovation Platform of Micro/Nano Technology for Biosensing, ZJU-Hangzhou Global Scientific and Technological Innovation Center, Hangzhou, 311200, P. R. China
| | - Tobin J Marks
- Department of Chemistry and the Materials Research Center, Northwestern University, Sheridan Road, Evanston, IL, 60208, USA
| | - Antonio Facchetti
- Department of Chemistry and the Materials Research Center, Northwestern University, Sheridan Road, Evanston, IL, 60208, USA
- Laboratory of Organic Electronics, Department of Science and Technology, Linköping University, Norrköping, 60174, Sweden
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15
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Zhao Y, Jin KQ, Li JD, Sheng KK, Huang WH, Liu YL. Flexible and Stretchable Electrochemical Sensors for Biological Monitoring. ADVANCED MATERIALS (DEERFIELD BEACH, FLA.) 2023:e2305917. [PMID: 37639636 DOI: 10.1002/adma.202305917] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/19/2023] [Revised: 08/23/2023] [Indexed: 08/31/2023]
Abstract
The rise of flexible and stretchable electronics has revolutionized biosensor techniques for probing biological systems. Particularly, flexible and stretchable electrochemical sensors (FSECSs) enable the in situ quantification of numerous biochemical molecules in different biological entities owing to their exceptional sensitivity, fast response, and easy miniaturization. Over the past decade, the fabrication and application of FSECSs have significantly progressed. This review highlights key developments in electrode fabrication and FSECSs functionalization. It delves into the electrochemical sensing of various biomarkers, including metabolites, electrolytes, signaling molecules, and neurotransmitters from biological systems, encompassing the outer epidermis, tissues/organs in vitro and in vivo, and living cells. Finally, considering electrode preparation and biological applications, current challenges and future opportunities for FSECSs are discussed.
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Affiliation(s)
- Yi Zhao
- College of Chemistry and Molecular Sciences, Wuhan University, Wuhan, 430072, China
| | - Kai-Qi Jin
- College of Chemistry and Molecular Sciences, Wuhan University, Wuhan, 430072, China
| | - Jing-Du Li
- College of Chemistry and Molecular Sciences, Wuhan University, Wuhan, 430072, China
| | - Kai-Kai Sheng
- College of Chemistry and Molecular Sciences, Wuhan University, Wuhan, 430072, China
| | - Wei-Hua Huang
- College of Chemistry and Molecular Sciences, Wuhan University, Wuhan, 430072, China
| | - Yan-Ling Liu
- College of Chemistry and Molecular Sciences, Wuhan University, Wuhan, 430072, China
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16
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Wu M, Yao K, Huang N, Li H, Zhou J, Shi R, Li J, Huang X, Li J, Jia H, Gao Z, Wong TH, Li D, Hou S, Liu Y, Zhang S, Song E, Yu J, Yu X. Ultrathin, Soft, Bioresorbable Organic Electrochemical Transistors for Transient Spatiotemporal Mapping of Brain Activity. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2023; 10:e2300504. [PMID: 36825679 DOI: 10.1002/advs.202300504] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/02/2023] [Indexed: 05/18/2023]
Abstract
A critical challenge lies in the development of the next-generation neural interface, in mechanically tissue-compatible fashion, that offer accurate, transient recording electrophysiological (EP) information and autonomous degradation after stable operation. Here, an ultrathin, lightweight, soft and multichannel neural interface is presented based on organic-electrochemical-transistor-(OECT)-based network, with capabilities of continuous high-fidelity mapping of neural signals and biosafety active degrading after performing functions. Such platform yields a high spatiotemporal resolution of 1.42 ms and 20 µm, with signal-to-noise ratio up to ≈37 dB. The implantable OECT arrays can well establish stable functional neural interfaces, designed as fully biodegradable electronic platforms in vivo. Demonstrated applications of such OECT implants include real-time monitoring of electrical activities from the cortical surface of rats under various conditions (e.g., narcosis, epileptic seizure, and electric stimuli) and electrocorticography mapping from 100 channels. This technology offers general applicability in neural interfaces, with great potential utility in treatment/diagnosis of neurological disorders.
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Affiliation(s)
- Mengge Wu
- State Key Laboratory of Electronic Thin Films and Integrated Devices, School of Optoelectronic Science and Engineering, University of Electronic Science and Technology of China (UESTC), Chengdu, 610054, P. R. China
- Department of Biomedical Engineering, City University of Hong Kong, Hong Kong, P. R. China
- Shanghai Frontiers Science Research Base of Intelligent Optoelectronics and Perception, Institute of Optoelectronics, Fudan University, Shanghai, 200433, P. R. China
| | - Kuanming Yao
- Department of Biomedical Engineering, City University of Hong Kong, Hong Kong, P. R. China
| | - Ningge Huang
- Shanghai Frontiers Science Research Base of Intelligent Optoelectronics and Perception, Institute of Optoelectronics, Fudan University, Shanghai, 200433, P. R. China
| | - Hu Li
- Department of Biomedical Engineering, City University of Hong Kong, Hong Kong, P. R. China
| | - Jingkun Zhou
- Department of Biomedical Engineering, City University of Hong Kong, Hong Kong, P. R. China
- Hong Kong Center for Cerebra-Cardiovascular Health Engineering, Hong Kong Science Park, New Territories, Hong Kong, P. R. China
| | - Rui Shi
- Department of Biomedical Engineering, City University of Hong Kong, Hong Kong, P. R. China
| | - Jiyu Li
- Department of Biomedical Engineering, City University of Hong Kong, Hong Kong, P. R. China
- Hong Kong Center for Cerebra-Cardiovascular Health Engineering, Hong Kong Science Park, New Territories, Hong Kong, P. R. China
| | - Xingcan Huang
- Department of Biomedical Engineering, City University of Hong Kong, Hong Kong, P. R. China
| | - Jian Li
- Department of Biomedical Engineering, City University of Hong Kong, Hong Kong, P. R. China
- Hong Kong Center for Cerebra-Cardiovascular Health Engineering, Hong Kong Science Park, New Territories, Hong Kong, P. R. China
| | - Huiling Jia
- Department of Biomedical Engineering, City University of Hong Kong, Hong Kong, P. R. China
- Hong Kong Center for Cerebra-Cardiovascular Health Engineering, Hong Kong Science Park, New Territories, Hong Kong, P. R. China
| | - Zhan Gao
- Department of Biomedical Engineering, City University of Hong Kong, Hong Kong, P. R. China
| | - Tsz Hung Wong
- Department of Biomedical Engineering, City University of Hong Kong, Hong Kong, P. R. China
| | - Dengfeng Li
- Department of Biomedical Engineering, City University of Hong Kong, Hong Kong, P. R. China
- Hong Kong Center for Cerebra-Cardiovascular Health Engineering, Hong Kong Science Park, New Territories, Hong Kong, P. R. China
| | - Sihui Hou
- State Key Laboratory of Electronic Thin Films and Integrated Devices, School of Optoelectronic Science and Engineering, University of Electronic Science and Technology of China (UESTC), Chengdu, 610054, P. R. China
- Department of Biomedical Engineering, City University of Hong Kong, Hong Kong, P. R. China
| | - Yiming Liu
- Department of Biomedical Engineering, City University of Hong Kong, Hong Kong, P. R. China
| | - Shiming Zhang
- Department of Electrical and Electronic Engineering, The University of Hong Kong, Hong Kong, SAR, P. R. China
| | - Enming Song
- Shanghai Frontiers Science Research Base of Intelligent Optoelectronics and Perception, Institute of Optoelectronics, Fudan University, Shanghai, 200433, P. R. China
| | - Junsheng Yu
- State Key Laboratory of Electronic Thin Films and Integrated Devices, School of Optoelectronic Science and Engineering, University of Electronic Science and Technology of China (UESTC), Chengdu, 610054, P. R. China
| | - Xinge Yu
- Department of Biomedical Engineering, City University of Hong Kong, Hong Kong, P. R. China
- Hong Kong Center for Cerebra-Cardiovascular Health Engineering, Hong Kong Science Park, New Territories, Hong Kong, P. R. China
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Lai J, Ding L, Liu Y, Fan C, You F, Wei J, Qian J, Wang K. A miniaturized organic photoelectrochemical transistor aptasensor based on nanorod arrays toward high-sensitive T-2 toxin detection in milk samples. Food Chem 2023; 423:136285. [PMID: 37156141 DOI: 10.1016/j.foodchem.2023.136285] [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: 12/04/2022] [Revised: 04/19/2023] [Accepted: 04/27/2023] [Indexed: 05/10/2023]
Abstract
Detection of T-2 toxin is of great significance to environment and human health, as T-2 toxin is one of the main toxins that contaminate crops, stored grain and other food. Herein, a zero-gate-bias organic photoelectrochemical transistor (OPECT) sensor was proposed based on nanoelectrode arrays as gate photoactive materials which can result in the accumulation of photovoltage and preferable capacitance leading to better sensitivity of the OPECT. For comparison, the channel current of OPECT was 100 times higher than photocurrent of conventional photoelectrochemical (PEC) attributing to remarkable signal amplification of OPECT. It was also found that the detection limit of OPECT aptasensor was as low as 28.8 pg/L, lower than 0.34 ng/L of the conventional PEC method, further indicating the advantage of the OPECT devices in T-2 toxin determination. This research has been successfully applied in real sample detection which provided a general platform of OPECT for food safety analysis.
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Affiliation(s)
- Jingjie Lai
- School of Chemistry and Chemical Engineering, Jiangsu University, Zhenjiang 212013, PR China
| | - Lijun Ding
- School of Chemistry and Chemical Engineering, Jiangsu University, Zhenjiang 212013, PR China
| | - Ying Liu
- School of Chemistry and Chemical Engineering, Jiangsu University, Zhenjiang 212013, PR China
| | - Cunhao Fan
- School of Chemistry and Chemical Engineering, Jiangsu University, Zhenjiang 212013, PR China
| | - Fuheng You
- School of Chemistry and Chemical Engineering, Jiangsu University, Zhenjiang 212013, PR China
| | - Jie Wei
- School of Chemistry and Chemical Engineering, Jiangsu University, Zhenjiang 212013, PR China
| | - Jing Qian
- School of Chemistry and Chemical Engineering, Jiangsu University, Zhenjiang 212013, PR China
| | - Kun Wang
- School of Chemistry and Chemical Engineering, Jiangsu University, Zhenjiang 212013, PR China.
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18
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Ohayon D, Druet V, Inal S. A guide for the characterization of organic electrochemical transistors and channel materials. Chem Soc Rev 2023; 52:1001-1023. [PMID: 36637165 DOI: 10.1039/d2cs00920j] [Citation(s) in RCA: 21] [Impact Index Per Article: 21.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/14/2023]
Abstract
The organic electrochemical transistor (OECT) is one of the most versatile devices within the bioelectronics toolbox, with its compatibility with aqueous media and the ability to transduce and amplify ionic and biological signals into an electronic output. The OECT operation relies on the mixed (ionic and electronic charge) conduction properties of the material in its channel. With the increased popularity of OECTs in bioelectronics applications and to benchmark mixed conduction properties of channel materials, the characterization methods have broadened somewhat heterogeneously. We intend this review to be a guide for the characterization methods of the OECT and the channel materials used. Our review is composed of two main sections. First, we review techniques to fabricate the OECT, introduce different form factors and configurations, and describe the device operation principle. We then discuss the OECT performance figures of merit and detail the experimental procedures to obtain these characteristics. In the second section, we shed light on the characterization of mixed transport properties of channel materials and describe how to assess films' interactions with aqueous electrolytes. In particular, we introduce experimental methods to monitor ion motion and diffusion, charge carrier mobility, and water uptake in the films. We also discuss a few theoretical models describing ion-polymer interactions. We hope that the guidelines we bring together in this review will help researchers perform a more comprehensive and consistent comparison of new materials and device designs, and they will be used to identify advances and opportunities to improve the device performance, progressing the field of organic bioelectronics.
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Affiliation(s)
- David Ohayon
- King Abdullah University of Science and Technology (KAUST), Biological and Environmental Science and Engineering Division, Organic Bioelectronics Laboratory, Thuwal 23955-6900, Saudi Arabia.
| | - Victor Druet
- King Abdullah University of Science and Technology (KAUST), Biological and Environmental Science and Engineering Division, Organic Bioelectronics Laboratory, Thuwal 23955-6900, Saudi Arabia.
| | - Sahika Inal
- King Abdullah University of Science and Technology (KAUST), Biological and Environmental Science and Engineering Division, Organic Bioelectronics Laboratory, Thuwal 23955-6900, Saudi Arabia.
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19
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Liang Y, Tang H, Zhang C, Liu C, Lan L, Huang F. Synergistic Effect of Oxoammonium Salt and Its Counterions for Fabricating Organic Electrochemical Transistors with Low Power Consumption. ACS APPLIED MATERIALS & INTERFACES 2022; 14:51165-51174. [PMID: 36335598 DOI: 10.1021/acsami.2c15934] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/16/2023]
Abstract
The state-of-the-art poly(3,4-ethylenedioxythiophene):poly(styrene sulfonate) (PEDOT:PSS)-based organic electrochemical transistors (OECTs) are gaining importance for a variety of biological applications due to their mixed electronic and ionic conductivities featuring ion-to-electron conversion. A low operation voltage without sacrificing device performance is desired to realize long-term monitoring of biological activities. In the present work, oxoammonium salts with two different counterions (TEMPO+X-, where TEMPO = 2,2,6,6-tetramethylpiperidine-1-oxoammonium; X = Br- and TFSI-) are employed as secondary dopants to modulate the device performance. Both oxoammonium salts feature a distinct dopant concentration-dependent doping effect, allowing precise control in improving the performance of OECTs. A zero-gate bias, corresponding to the maximum transconductance, and a low threshold voltage are realized by optimizing the dopant concentrations. In addition, TEMPO+TFSI- dopant exerts great capability in modulating the work function and in morphology reconstruction of PEDOT:PSS, ensuring a well-matched work function at the gold electrode-channel material interface and condensed microstructure stacking with an edge-on orientation in the doped PEDOT:PSS films. The synergistic effect of TEMPO and the TFSI- counterion endows the device with superior performance to its counterparts due to the resultant higher μC* figure, benefiting from the efficient injection/extraction of holes at the interface and enhanced intra- and inter-chain carrier transport. The excellent device performance makes the OECT a promising neuromorphic device to mimic basic brain functions.
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Affiliation(s)
- Yuanying Liang
- Institute of Polymer Optoelectronic Materials and Devices, State Key Laboratory of Luminescent Materials and Devices, South China University of Technology, Guangzhou510640, China
| | - Haoran Tang
- Institute of Polymer Optoelectronic Materials and Devices, State Key Laboratory of Luminescent Materials and Devices, South China University of Technology, Guangzhou510640, China
| | - Chunyang Zhang
- Institute of Polymer Optoelectronic Materials and Devices, State Key Laboratory of Luminescent Materials and Devices, South China University of Technology, Guangzhou510640, China
| | - Chunchen Liu
- Institute of Polymer Optoelectronic Materials and Devices, State Key Laboratory of Luminescent Materials and Devices, South China University of Technology, Guangzhou510640, China
| | - Linfeng Lan
- Institute of Polymer Optoelectronic Materials and Devices, State Key Laboratory of Luminescent Materials and Devices, South China University of Technology, Guangzhou510640, China
| | - Fei Huang
- Institute of Polymer Optoelectronic Materials and Devices, State Key Laboratory of Luminescent Materials and Devices, South China University of Technology, Guangzhou510640, China
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20
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A flexible and highly sensitive organic electrochemical transistor-based biosensor for continuous and wireless nitric oxide detection. Proc Natl Acad Sci U S A 2022; 119:e2208060119. [PMID: 35972962 PMCID: PMC9407321 DOI: 10.1073/pnas.2208060119] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
Abstract
As nitric oxide (NO) plays significant roles in a variety of physiological processes, the capability for real-time and accurate detection of NO in live organisms is in great demand. Traditional assessments of NO rely on indirect colorimetric techniques or electrochemical sensors that often comprise rigid constituent materials and can hardly satisfy sensitivity and spatial resolution simultaneously. Here, we report a flexible and highly sensitive biosensor based on organic electrochemical transistors (OECTs) capable of continuous and wireless detection of NO in biological systems. By modifying the geometry of the active channel and the gate electrodes of OECTs, devices achieve optimum signal amplification of NO. The sensor exhibits a low response limit, a wide linear range, high sensitivity, and excellent selectivity, with a miniaturized active sensing region compared with a conventional electrochemical sensor. The device demonstrates continuous detection of the nanomolar range of NO in cultured cells for hours without significant signal drift. Real-time and wireless measurement of NO is accomplished for 8 d in the articular cavity of New Zealand White rabbits with anterior cruciate ligament (ACL) rupture injuries. The observed high level of NO is associated with the onset of osteoarthritis (OA) at the later stage. The proposed device platform could provide critical information for the early diagnosis of chronic diseases and timely medical intervention to optimize therapeutic efficacy.
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21
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Li W, Jin J, Xiong T, Yu P, Mao L. Fast-Scanning Potential-Gated Organic Electrochemical Transistors for Highly Sensitive Sensing of Dopamine in Living Rat Brain. Angew Chem Int Ed Engl 2022; 61:e202204134. [PMID: 35583258 DOI: 10.1002/anie.202204134] [Citation(s) in RCA: 17] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2022] [Indexed: 11/12/2022]
Abstract
Developing techniques for the highly sensitive assay of neurotransmitters is essential for understanding physiological and pathological processes. Here, we demonstrate a fast-scanning potential (FSP)-gated organic electrochemical transistor (OECT): for the highly sensitive sensing of dopamine (DA) in a living rat brain. The configuration combines the selectivity of fast-scan cyclic voltammetry (FSCV) with the high sensitivity of an OECT. The combined use of FSP as a gating mode and transconductance (gm ) as a sensing parameter further improve the sensing performance in terms of sensitivity, limit of detection, reproducibility, and stability. The FSP-OECT exhibits a sensitivity of 0.899 S M-1 and a low limit of detection down to 5 nM and was validated for in vivo monitoring of the basal level and electrically stimulated release of DA.
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Affiliation(s)
- Weiqi Li
- Beijing National Laboratory for Molecular Science, Key Laboratory of Analytical Chemistry for Living Biosystems, Institute of Chemistry, Chinese Academy of Sciences (CAS), Beijing, 100190, China.,University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Jing Jin
- Beijing National Laboratory for Molecular Science, Key Laboratory of Analytical Chemistry for Living Biosystems, Institute of Chemistry, Chinese Academy of Sciences (CAS), Beijing, 100190, China.,University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Tianyi Xiong
- Beijing National Laboratory for Molecular Science, Key Laboratory of Analytical Chemistry for Living Biosystems, Institute of Chemistry, Chinese Academy of Sciences (CAS), Beijing, 100190, China.,University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Ping Yu
- Beijing National Laboratory for Molecular Science, Key Laboratory of Analytical Chemistry for Living Biosystems, Institute of Chemistry, Chinese Academy of Sciences (CAS), Beijing, 100190, China.,University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Lanqun Mao
- Beijing National Laboratory for Molecular Science, Key Laboratory of Analytical Chemistry for Living Biosystems, Institute of Chemistry, Chinese Academy of Sciences (CAS), Beijing, 100190, China.,College of Chemistry, Beijing Normal University, Beijing, 100875, China
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22
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Li W, Jin J, Xiong T, Yu P, Mao L. Fast‐Scanning Potential‐Gated Organic Electrochemical Transistors for Highly Sensitive Sensing of Dopamine in Living Rat Brain. Angew Chem Int Ed Engl 2022. [DOI: 10.1002/ange.202204134] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Affiliation(s)
- Weiqi Li
- Beijing National Laboratory for Molecular Science Key Laboratory of Analytical Chemistry for Living Biosystems Institute of Chemistry Chinese Academy of Sciences (CAS) Beijing 100190 China
- University of Chinese Academy of Sciences Beijing 100049 China
| | - Jing Jin
- Beijing National Laboratory for Molecular Science Key Laboratory of Analytical Chemistry for Living Biosystems Institute of Chemistry Chinese Academy of Sciences (CAS) Beijing 100190 China
- University of Chinese Academy of Sciences Beijing 100049 China
| | - Tianyi Xiong
- Beijing National Laboratory for Molecular Science Key Laboratory of Analytical Chemistry for Living Biosystems Institute of Chemistry Chinese Academy of Sciences (CAS) Beijing 100190 China
- University of Chinese Academy of Sciences Beijing 100049 China
| | - Ping Yu
- Beijing National Laboratory for Molecular Science Key Laboratory of Analytical Chemistry for Living Biosystems Institute of Chemistry Chinese Academy of Sciences (CAS) Beijing 100190 China
- University of Chinese Academy of Sciences Beijing 100049 China
| | - Lanqun Mao
- Beijing National Laboratory for Molecular Science Key Laboratory of Analytical Chemistry for Living Biosystems Institute of Chemistry Chinese Academy of Sciences (CAS) Beijing 100190 China
- College of Chemistry Beijing Normal University Beijing 100875 China
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23
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Wu G, Zhang N, Matarasso A, Heck I, Li H, Lu W, Phaup JG, Schneider M, Wu Y, Weng Z, Sun H, Gao Z, Zhang X, Sandberg SG, Parvin D, Seaholm E, Islam SK, Wang X, Phillips PEM, Castro DC, Ding S, Li DP, Bruchas MR, Zhang Y. Implantable Aptamer-Graphene Microtransistors for Real-Time Monitoring of Neurochemical Release in Vivo. NANO LETTERS 2022; 22:3668-3677. [PMID: 35439419 PMCID: PMC9420334 DOI: 10.1021/acs.nanolett.2c00289] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/24/2023]
Abstract
The real-time monitoring of neurochemical release in vivo plays a critical role in understanding the biochemical process of the complex nervous system. Current technologies for such applications, including microdialysis and fast-scan cyclic voltammetry, suffer from limited spatiotemporal resolution or poor selectivity. Here, we report a soft implantable aptamer-graphene microtransistor probe for real-time monitoring of neurochemical release. As a demonstration, we show the monitoring of dopamine with nearly cellular-scale spatial resolution, high selectivity (dopamine sensor >19-fold over norepinephrine), and picomolar sensitivity, simultaneously. Systematic benchtop evaluations, ex vivo experiments, and in vivo studies in mice models highlight the key features and demonstrate the capability of capturing the dopamine release dynamics evoked by pharmacological stimulation, suggesting the potential applications in basic neuroscience studies and studying neurological disease-related processes. The developed system can be easily adapted for monitoring other neurochemicals and drugs by simply replacing the aptamers functionalized on the graphene microtransistors.
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Affiliation(s)
- Guangfu Wu
- Department of Biomedical Engineering and the Institute of Materials Science, University of Connecticut, Storrs, CT 06269, USA
| | - Nannan Zhang
- Dalton Cardiovascular Research Center, University of Missouri, Columbia, MO 65211, USA
| | - Avi Matarasso
- Department of Bioengineering, University of Washington, Seattle, WA 98195, USA
| | - Ian Heck
- Department of Biomedical, Biological, and Chemical Engineering, University of Missouri, Columbia, MO 65211, USA
| | - Huijie Li
- Department of Biomedical Engineering and the Institute of Materials Science, University of Connecticut, Storrs, CT 06269, USA
| | - Wei Lu
- Department of Materials Science and Engineering, Northwestern University, Evanston, IL 60208, USA
| | - J. Glenn Phaup
- Center for Precision Medicine, University of Missouri, Columbia, MO 65212, USA
| | - Michael Schneider
- Department of Biomedical Engineering and the Institute of Materials Science, University of Connecticut, Storrs, CT 06269, USA
| | - Yixin Wu
- Department of Materials Science and Engineering, Northwestern University, Evanston, IL 60208, USA
| | - Zhengyan Weng
- Department of Biomedical Engineering and the Institute of Materials Science, University of Connecticut, Storrs, CT 06269, USA
| | - He Sun
- Department of Biomedical Engineering and the Institute of Materials Science, University of Connecticut, Storrs, CT 06269, USA
| | - Zan Gao
- Department of Biomedical Engineering and the Institute of Materials Science, University of Connecticut, Storrs, CT 06269, USA
| | - Xincheng Zhang
- Department of Biomedical Engineering and the Institute of Materials Science, University of Connecticut, Storrs, CT 06269, USA
| | - Stefan G. Sandberg
- Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle, WA 98195, USA
| | - Dilruba Parvin
- Department of Electrical Engineering and Computer Science, University of Missouri, Columbia, MO 65211, USA
| | - Elena Seaholm
- Department of Bioengineering, University of Washington, Seattle, WA 98195, USA
| | - Syed Kamrul Islam
- Department of Electrical Engineering and Computer Science, University of Missouri, Columbia, MO 65211, USA
| | - Xueju Wang
- Department of Materials Science and Engineering and the Institute of Materials Science, University of Connecticut, Storrs, CT 06269, USA
| | - Paul E. M. Phillips
- Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle, WA 98195, USA
| | - Daniel C. Castro
- Department of Anesthesiology and Pain Medicine, University of Washington, Seattle, WA 98195, USA
- Center for Neurobiology of Addiction, Pain, and Emotion, University of Washington, Seattle, WA 98195, USA
- Department of Pharmacology, University of Washington, Seattle, WA 98195, USA
| | - Shinghua Ding
- Dalton Cardiovascular Research Center, University of Missouri, Columbia, MO 65211, USA
- Department of Biomedical, Biological, and Chemical Engineering, University of Missouri, Columbia, MO 65211, USA
| | - De-Pei Li
- Center for Precision Medicine, University of Missouri, Columbia, MO 65212, USA
| | - Michael R. Bruchas
- Department of Bioengineering, University of Washington, Seattle, WA 98195, USA
- Department of Anesthesiology and Pain Medicine, University of Washington, Seattle, WA 98195, USA
- Center for Neurobiology of Addiction, Pain, and Emotion, University of Washington, Seattle, WA 98195, USA
- Department of Pharmacology, University of Washington, Seattle, WA 98195, USA
| | - Yi Zhang
- Department of Biomedical Engineering and the Institute of Materials Science, University of Connecticut, Storrs, CT 06269, USA
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24
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Nawaz A, Liu Q, Leong WL, Fairfull-Smith KE, Sonar P. Organic Electrochemical Transistors for In Vivo Bioelectronics. ADVANCED MATERIALS (DEERFIELD BEACH, FLA.) 2021; 33:e2101874. [PMID: 34606146 DOI: 10.1002/adma.202101874] [Citation(s) in RCA: 39] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/09/2021] [Revised: 07/09/2021] [Indexed: 06/13/2023]
Abstract
Organic electrochemical transistors (OECTs) are presently a focus of intense research and hold great potential in expanding the horizons of the bioelectronics industry. The notable characteristics of OECTs, including their electrolyte-gating, which offers intimate interfacing with biological environments, and aqueous stability, make them particularly suitable to be operated within a living organism (in vivo). Unlike the existing in vivo bioelectronic devices, mostly based on rigid metal electrodes, OECTs form a soft mechanical contact with the biological milieu and ensure a high signal-to-noise ratio because of their powerful amplification capability. Such features make OECTs particularly desirable for a wide range of in vivo applications, including electrophysiological recordings, neuron stimulation, and neurotransmitter detection, and regulation of plant processes in vivo. In this review, a systematic compilation of the in vivo applications is presented that are addressed by the OECT technology. First, the operating mechanisms, and the device design and materials design principles of OECTs are examined, and then multiple examples are provided from the literature while identifying the unique device properties that enable the application progress. Finally, one critically looks at the future of the OECT technology for in vivo bioelectronic applications.
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Affiliation(s)
- Ali Nawaz
- Departamento de Física, Universidade Federal do Paraná, Caixa Postal 19044, Curitiba, PR, 81531-990, Brazil
- Center for Sensors and Devices, Bruno Kessler Foundation (FBK), Trento, 38123, Italy
| | - Qian Liu
- School of Chemistry and Physics, Queensland University of Technology (QUT), Brisbane, QLD, 4000, Australia
| | - Wei Lin Leong
- School of Electrical and Electronic Engineering, Nanyang Technological University, 50 Nanyang Avenue, Singapore, 639798, Singapore
| | - Kathryn E Fairfull-Smith
- School of Chemistry and Physics, Queensland University of Technology (QUT), Brisbane, QLD, 4000, Australia
- Centre for Materials Science, Queensland University of Technology, 2 George Street, Brisbane, QLD, 4000, Australia
| | - Prashant Sonar
- School of Chemistry and Physics, Queensland University of Technology (QUT), Brisbane, QLD, 4000, Australia
- Centre for Materials Science, Queensland University of Technology, 2 George Street, Brisbane, QLD, 4000, Australia
- Centre for Biomedical Technologies, Queensland University of Technology, 2 George Street, Brisbane, QLD, 4000, Australia
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25
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Koklu A, Ohayon D, Wustoni S, Druet V, Saleh A, Inal S. Organic Bioelectronic Devices for Metabolite Sensing. Chem Rev 2021; 122:4581-4635. [PMID: 34610244 DOI: 10.1021/acs.chemrev.1c00395] [Citation(s) in RCA: 31] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
Electrochemical detection of metabolites is essential for early diagnosis and continuous monitoring of a variety of health conditions. This review focuses on organic electronic material-based metabolite sensors and highlights their potential to tackle critical challenges associated with metabolite detection. We provide an overview of the distinct classes of organic electronic materials and biorecognition units used in metabolite sensors, explain the different detection strategies developed to date, and identify the advantages and drawbacks of each technology. We then benchmark state-of-the-art organic electronic metabolite sensors by categorizing them based on their application area (in vitro, body-interfaced, in vivo, and cell-interfaced). Finally, we share our perspective on using organic bioelectronic materials for metabolite sensing and address the current challenges for the devices and progress to come.
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Affiliation(s)
- Anil Koklu
- King Abdullah University of Science and Technology (KAUST), Biological and Environmental Science and Engineering (BESE), Organic Bioelectronics Laboratory, Thuwal 23955-6900, Saudi Arabia
| | - David Ohayon
- King Abdullah University of Science and Technology (KAUST), Biological and Environmental Science and Engineering (BESE), Organic Bioelectronics Laboratory, Thuwal 23955-6900, Saudi Arabia
| | - Shofarul Wustoni
- King Abdullah University of Science and Technology (KAUST), Biological and Environmental Science and Engineering (BESE), Organic Bioelectronics Laboratory, Thuwal 23955-6900, Saudi Arabia
| | - Victor Druet
- King Abdullah University of Science and Technology (KAUST), Biological and Environmental Science and Engineering (BESE), Organic Bioelectronics Laboratory, Thuwal 23955-6900, Saudi Arabia
| | - Abdulelah Saleh
- King Abdullah University of Science and Technology (KAUST), Biological and Environmental Science and Engineering (BESE), Organic Bioelectronics Laboratory, Thuwal 23955-6900, Saudi Arabia
| | - Sahika Inal
- King Abdullah University of Science and Technology (KAUST), Biological and Environmental Science and Engineering (BESE), Organic Bioelectronics Laboratory, Thuwal 23955-6900, Saudi Arabia
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26
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Mariano A, Lubrano C, Bruno U, Ausilio C, Dinger NB, Santoro F. Advances in Cell-Conductive Polymer Biointerfaces and Role of the Plasma Membrane. Chem Rev 2021; 122:4552-4580. [PMID: 34582168 PMCID: PMC8874911 DOI: 10.1021/acs.chemrev.1c00363] [Citation(s) in RCA: 23] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
![]()
The plasma membrane
(PM) is often described as a wall, a physical
barrier separating the cell cytoplasm from the extracellular matrix
(ECM). Yet, this wall is a highly dynamic structure that can stretch,
bend, and bud, allowing cells to respond and adapt to their surrounding
environment. Inspired by shapes and geometries found in the biological
world and exploiting the intrinsic properties of conductive polymers
(CPs), several biomimetic strategies based on substrate dimensionality
have been tailored in order to optimize the cell–chip coupling.
Furthermore, device biofunctionalization through the use of ECM proteins
or lipid bilayers have proven successful approaches to further maximize
interfacial interactions. As the bio-electronic field aims at narrowing
the gap between the electronic and the biological world, the possibility
of effectively disguising conductive materials to “trick”
cells to recognize artificial devices as part of their biological
environment is a promising approach on the road to the seamless platform
integration with cells.
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Affiliation(s)
- Anna Mariano
- Tissue Electronics, Istituto Italiano di Tecnologia, 80125 Naples, Italy
| | - Claudia Lubrano
- Tissue Electronics, Istituto Italiano di Tecnologia, 80125 Naples, Italy.,Dipartimento di Chimica, Materiali e Produzione Industriale, Università di Napoli Federico II, 80125 Naples, Italy
| | - Ugo Bruno
- Tissue Electronics, Istituto Italiano di Tecnologia, 80125 Naples, Italy.,Dipartimento di Chimica, Materiali e Produzione Industriale, Università di Napoli Federico II, 80125 Naples, Italy
| | - Chiara Ausilio
- Tissue Electronics, Istituto Italiano di Tecnologia, 80125 Naples, Italy
| | - Nikita Bhupesh Dinger
- Tissue Electronics, Istituto Italiano di Tecnologia, 80125 Naples, Italy.,Dipartimento di Chimica, Materiali e Produzione Industriale, Università di Napoli Federico II, 80125 Naples, Italy
| | - Francesca Santoro
- Tissue Electronics, Istituto Italiano di Tecnologia, 80125 Naples, Italy
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27
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Xu P, Lu C, Wang D, Fu D. Combination of ultrathin micro-patterned MXene and PEDOT: Poly(styrenesulfonate) enables organic electrochemical transistor for amperometric determination of survivin protein in children osteosarcoma. Mikrochim Acta 2021; 188:301. [PMID: 34409498 DOI: 10.1007/s00604-021-04947-2] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2021] [Accepted: 07/15/2021] [Indexed: 01/01/2023]
Abstract
An ultrathin micro-patterned MXene/PEDOT:PSS-based organic electrochemical transistor biosensor was constructed, which can significantly amplify the amperometric signal and transistor's performance. A novel interdigitated OECTs biosensor has been developed for reliable determination of survivin for the following considerations: (1) The synergistic effect of intercalated MXene and ionic PEDOT:PSS enhanced the mobility and volumetric capacitance of OECTs biosensor. (2) Compared with the best previous literatures, our assay demonstrated enhanced detection limit of survivin down to 10 pg mL-1, as well as satisfactory selectivity, reproducibility, and reliability. (3) Comparison of OECTs against commercial ELISA kit yielded favorable linearity (Y = 1.0015*X + 0.0039) and correlation coefficient (R2 = 0.9717). Those advantages are expected to pave the way to design of an OECTs biosensor with robustness, non-invasiveness, and miniaturization for the point-of-care applications.
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Affiliation(s)
- Ping Xu
- Department of Orthopedics, Children's Hospital of Fudan University, National Children's Medical Center, Shanghai, China
| | - Chunwen Lu
- Department of Orthopedics, Changhai Hospital, Second Military Medical University, Shanghai, China
| | - Dahui Wang
- Department of Orthopedics, Children's Hospital of Fudan University, National Children's Medical Center, Shanghai, China.
| | - Dong Fu
- Department of Orthopedics, Children's Hospital of Fudan University, National Children's Medical Center, Shanghai, China.
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28
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Cucchi M, Gruener C, Petrauskas L, Steiner P, Tseng H, Fischer A, Penkovsky B, Matthus C, Birkholz P, Kleemann H, Leo K. Reservoir computing with biocompatible organic electrochemical networks for brain-inspired biosignal classification. SCIENCE ADVANCES 2021; 7:7/34/eabh0693. [PMID: 34407948 PMCID: PMC8373129 DOI: 10.1126/sciadv.abh0693] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/14/2021] [Accepted: 06/28/2021] [Indexed: 05/12/2023]
Abstract
Early detection of malign patterns in patients' biological signals can save millions of lives. Despite the steady improvement of artificial intelligence-based techniques, the practical clinical application of these methods is mostly constrained to an offline evaluation of the patients' data. Previous studies have identified organic electrochemical devices as ideal candidates for biosignal monitoring. However, their use for pattern recognition in real time was never demonstrated. Here, we produce and characterize brain-inspired networks composed of organic electrochemical transistors and use them for time-series predictions and classification tasks using the reservoir computing approach. To show their potential use for biofluid monitoring and biosignal analysis, we classify four classes of arrhythmic heartbeats with an accuracy of 88%. The results of this study introduce a previously unexplored paradigm for biocompatible computational platforms and may enable development of ultralow-power consumption hardware-based artificial neural networks capable of interacting with body fluids and biological tissues.
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Affiliation(s)
- Matteo Cucchi
- Dresden Integrated Center for Applied Physics and Photonic Materials (IAPP), Nöthnitzer Str. 61, 01187 Dresden, Germany.
| | - Christopher Gruener
- Dresden Integrated Center for Applied Physics and Photonic Materials (IAPP), Nöthnitzer Str. 61, 01187 Dresden, Germany
| | - Lautaro Petrauskas
- Dresden Integrated Center for Applied Physics and Photonic Materials (IAPP), Nöthnitzer Str. 61, 01187 Dresden, Germany
- Chair for Circuit Design and Network Theory (CCN), Technische Universität Dresden, Helmholtzstr. 18, 01069 Dresden, Germany
| | - Peter Steiner
- Institute for Acoustics and Speech Communication (IAS), Technische Universität Dresden, Helmholtzstr. 18, 01069 Dresden, Germany
| | - Hsin Tseng
- Dresden Integrated Center for Applied Physics and Photonic Materials (IAPP), Nöthnitzer Str. 61, 01187 Dresden, Germany
| | - Axel Fischer
- Dresden Integrated Center for Applied Physics and Photonic Materials (IAPP), Nöthnitzer Str. 61, 01187 Dresden, Germany
| | - Bogdan Penkovsky
- National University of Kyiv-Mohyla Academy, Skovorody Str. 2, 04655 Kyiv, Ukraine
- Alysophil SAS, Bio Parc, 850 Boulevard Sebastien Brant, BP 30170 F, 67405, Illkirch CEDEX, France
| | - Christian Matthus
- Chair for Circuit Design and Network Theory (CCN), Technische Universität Dresden, Helmholtzstr. 18, 01069 Dresden, Germany
| | - Peter Birkholz
- Institute for Acoustics and Speech Communication (IAS), Technische Universität Dresden, Helmholtzstr. 18, 01069 Dresden, Germany
| | - Hans Kleemann
- Dresden Integrated Center for Applied Physics and Photonic Materials (IAPP), Nöthnitzer Str. 61, 01187 Dresden, Germany
| | - Karl Leo
- Dresden Integrated Center for Applied Physics and Photonic Materials (IAPP), Nöthnitzer Str. 61, 01187 Dresden, Germany
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29
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Liang Y, Offenhäusser A, Ingebrandt S, Mayer D. PEDOT:PSS-Based Bioelectronic Devices for Recording and Modulation of Electrophysiological and Biochemical Cell Signals. Adv Healthc Mater 2021; 10:e2100061. [PMID: 33970552 DOI: 10.1002/adhm.202100061] [Citation(s) in RCA: 47] [Impact Index Per Article: 15.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2021] [Revised: 03/31/2021] [Indexed: 12/16/2022]
Abstract
To understand the physiology and pathology of electrogenic cells and the corresponding tissue in their full complexity, the quantitative investigation of the transmission of ions as well as the release of chemical signals is important. Organic (semi-) conducting materials and in particular organic electrochemical transistor are gaining in importance for the investigation of electrophysiological and recently biochemical signals due to their synthetic nature and thus chemical diversity and modifiability, their biocompatible and compliant properties, as well as their mixed electronic and ionic conductivity featuring ion-to-electron conversion. Here, the aim is to summarize recent progress on the development of bioelectronic devices utilizing polymer polyethylenedioxythiophene: poly(styrene sulfonate) (PEDOT:PSS) to interface electronics and biological matter including microelectrode arrays, neural cuff electrodes, organic electrochemical transistors, PEDOT:PSS-based biosensors, and organic electronic ion pumps. Finally, progress in the material development is summarized for the improvement of polymer conductivity, stretchability, higher transistor transconductance, or to extend their field of application such as cation sensing or metabolite recognition. This survey of recent trends in PEDOT:PSS electrophysiological sensors highlights the potential of this multifunctional material to revolve current technology and to enable long-lasting, multichannel polymer probes for simultaneous recordings of electrophysiological and biochemical signals from electrogenic cells.
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Affiliation(s)
- Yuanying Liang
- Institute of Polymer Optoelectronic Materials and Devices State Key Laboratory of Luminescent Materials and Devices South China University of Technology Guangzhou Guangdong 510640 China
| | - Andreas Offenhäusser
- Institute of Biological Information Processing Bioelectronics IBI‐3 Forschungszentrum Jülich Jülich 52425 Germany
| | - Sven Ingebrandt
- Faculty of Electrical Engineering and Information Technology Institute of Materials in Electrical Engineering 1 RWTH Aachen University Aachen 52074 Germany
| | - Dirk Mayer
- Institute of Biological Information Processing Bioelectronics IBI‐3 Forschungszentrum Jülich Jülich 52425 Germany
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30
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Spanu A, Martines L, Bonfiglio A. Interfacing cells with organic transistors: a review of in vitro and in vivo applications. LAB ON A CHIP 2021; 21:795-820. [PMID: 33565540 DOI: 10.1039/d0lc01007c] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/12/2023]
Abstract
Recently, organic bioelectronics has attracted considerable interest in the scientific community. The impressive growth that it has undergone in the last 10 years has allowed the rise of the completely new field of cellular organic bioelectronics, which has now the chance to compete with consolidated approaches based on devices such as micro-electrode arrays and ISFET-based transducers both in in vitro and in vivo experimental practice. This review focuses on cellular interfaces based on organic active devices and has the intent of highlighting the recent advances and the most innovative approaches to the ongoing and everlasting challenge of interfacing living matter to the "external world" in order to unveil the hidden mechanisms governing its behavior. Device-wise, three different organic structures will be considered in this work, namely the organic electrochemical transistor (OECT), the solution-gated organic transistor (SGOFET - which is presented here in two possible different versions according to the employed active material, namely: the electrolyte-gated organic transistor - EGOFET, and the solution gated graphene transistor - gSGFET), and the organic charge modulated field effect transistor (OCMFET). Application-wise, this work will mainly focus on cellular-based biosensors employed in in vitro and in vivo cellular interfaces, with the aim of offering the reader a comprehensive retrospective of the recent past, an overview of the latest innovations, and a glance at the future prospects of this challenging, yet exciting and still mostly unexplored scientific field.
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Affiliation(s)
- Andrea Spanu
- Department of Electrical and Electronic Engineering, University of Cagliari, Via Marengo, 09123 Cagliari, CA, Italy.
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31
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How is flexible electronics advancing neuroscience research? Biomaterials 2020; 268:120559. [PMID: 33310538 DOI: 10.1016/j.biomaterials.2020.120559] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2020] [Revised: 11/16/2020] [Accepted: 11/18/2020] [Indexed: 02/07/2023]
Abstract
Innovative neurotechnology must be leveraged to experimentally answer the multitude of pressing questions in modern neuroscience. Driven by the desire to address the existing neuroscience problems with newly engineered tools, we discuss in this review the benefits of flexible electronics for neuroscience studies. We first introduce the concept and define the properties of flexible and stretchable electronics. We then categorize the four dimensions where flexible electronics meets the demands of modern neuroscience: chronic stability, interfacing multiple structures, multi-modal compatibility, and neuron-type-specific recording. Specifically, with the bending stiffness now approaching that of neural tissue, implanted flexible electronic devices produce little shear motion, minimizing chronic immune responses and enabling recording and stimulation for months, and even years. The unique mechanical properties of flexible electronics also allow for intimate conformation to the brain, the spinal cord, peripheral nerves, and the retina. Moreover, flexible electronics enables optogenetic stimulation, microfluidic drug delivery, and neural activity imaging during electrical stimulation and recording. Finally, flexible electronics can enable neuron-type identification through analysis of high-fidelity recorded action potentials facilitated by its seamless integration with the neural circuitry. We argue that flexible electronics will play an increasingly important role in neuroscience studies and neurological therapies via the fabrication of neuromorphic devices on flexible substrates and the development of enhanced methods of neuronal interpenetration.
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