1
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Wu B, Castagnola E, McClung CA, Cui XT. PEDOT/CNT Flexible MEAs Reveal New Insights into the Clock Gene's Role in Dopamine Dynamics. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2024; 11:e2308212. [PMID: 38430532 PMCID: PMC11251561 DOI: 10.1002/advs.202308212] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/31/2023] [Revised: 01/26/2024] [Indexed: 03/04/2024]
Abstract
Substantial evidence has shown that the Circadian Locomotor Output Cycles Kaput (Clock) gene is a core transcription factor of circadian rhythms that regulates dopamine (DA) synthesis. To shed light on the mechanism of this interaction, flexible multielectrode arrays (MEAs) are developed that can measure both DA concentrations and electrophysiology chronically. The dual functionality is enabled by conducting polymer PEDOT doped with acid-functionalized carbon nanotubes (CNT). The PEDOT/CNT microelectrode coating maintained stable electrochemical impedance and DA detection by square wave voltammetry for 4 weeks in vitro. When implanted in wild-type (WT) and Clock mutation (MU) mice, MEAs measured tonic DA concentration and extracellular neural activity with high spatial and temporal resolution for 4 weeks. A diurnal change of DA concentration in WT is observed, but not in MU, and a higher basal DA concentration and stronger cocaine-induced DA increase in MU. Meanwhile, striatal neuronal firing rate is found to be positively correlated with DA concentration in both animal groups. These findings offer new insights into DA dynamics in the context of circadian rhythm regulation, and the chronically reliable performance and dual measurement capability of this technology hold great potential for a broad range of neuroscience research.
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Affiliation(s)
- Bingchen Wu
- Department of BioengineeringUniversity of PittsburghPittsburghPA15213USA
- Center for the Neural Basis of CognitionPittsburghPA15213USA
| | - Elisa Castagnola
- Department of BioengineeringUniversity of PittsburghPittsburghPA15213USA
- Department of Biomedical EngineeringLouisiana Tech UniversityRustonLA71272USA
| | | | - Xinyan Tracy Cui
- Department of BioengineeringUniversity of PittsburghPittsburghPA15213USA
- Center for the Neural Basis of CognitionPittsburghPA15213USA
- McGowan Institute for Regenerative MedicinePittsburghPA15219USA
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2
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Stuber A, Nakatsuka N. Aptamer Renaissance for Neurochemical Biosensing. ACS NANO 2024; 18:2552-2563. [PMID: 38236046 PMCID: PMC10832038 DOI: 10.1021/acsnano.3c09576] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/03/2023] [Revised: 01/10/2024] [Accepted: 01/11/2024] [Indexed: 01/19/2024]
Abstract
Unraveling the complexities of brain function, which is crucial for advancing human health, remains a grand challenge. This endeavor demands precise monitoring of small molecules such as neurotransmitters, the chemical messengers in the brain. In this Perspective, we explore the potential of aptamers, selective synthetic bioreceptors integrated into electronic affinity platforms to address limitations in neurochemical biosensing. We emphasize the importance of characterizing aptamer thermodynamics and target binding to realize functional biosensors in biological systems. We focus on two label-free affinity platforms spanning the micro- to nanoscale: field-effect transistors and nanopores. Integration of well-characterized structure-switching aptamers overcame nonspecific binding, a challenge that has hindered the translation of biosensors from the lab to the clinic. In a transformative era driven by neuroscience breakthroughs, technological innovations, and multidisciplinary collaborations, an aptamer renaissance holds the potential to bridge technological gaps and reshape the landscape of diagnostics and neuroscience.
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Affiliation(s)
- Annina Stuber
- Laboratory for Biosensors
and Bioelectronics, ETH Zürich, 8092 Zürich, Switzerland
| | - Nako Nakatsuka
- Laboratory for Biosensors
and Bioelectronics, ETH Zürich, 8092 Zürich, Switzerland
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3
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Wang C, Wang T, Gao Y, Tao Q, Ye W, Jia Y, Zhao X, Zhang B, Zhang Z. Multiplexed immunosensing of cancer biomarkers on a split-float-gate graphene transistor microfluidic biochip. LAB ON A CHIP 2024; 24:317-326. [PMID: 38087953 DOI: 10.1039/d3lc00709j] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/18/2024]
Abstract
This work reports the development of a novel microfluidic biosensor using a graphene field-effect transistor (GFET) design for the parallel label-free analysis of multiple biomarkers. Overcoming the persistent challenge of constructing μm2-sized FET sensitive interfaces that incorporate multiple receptors, we implement a split-float-gate structure that enables the manipulation of multiplexed biochemical functionalization using microfluidic channels. Immunoaffinity biosensing experiments are conducted using the mixture samples containing three liver cancer biomarkers, carcinoembryonic antigen (CEA), α-fetoprotein (AFP), and parathyroid hormone (PTH). The results demonstrate the capability of our label-free biochip to quantitatively detect multiple target biomarkers simultaneously by observing the kinetics in 10 minutes, with the detection limit levels in the nanomolar range. This microfluidic biosensor provides a valuable analytical tool for rapid multi-target biosensing, which can be potentially utilized for domiciliary tests of cancer screening and prognosis, obviating the need for sophisticated instruments and professional operations in hospitals.
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Affiliation(s)
- Cheng Wang
- Tianjin Key Laboratory of Wireless Mobile Communications and Power Transmission, College of Electronic and Communication Engineering, Tianjin Normal University, Tianjin 300387, China.
- Department of Intelligence Science and Technology, College of Artificial Intelligence, Tianjin Normal University, Tianjin 300387, China
| | - Tao Wang
- Tianjin Key Laboratory of Wireless Mobile Communications and Power Transmission, College of Electronic and Communication Engineering, Tianjin Normal University, Tianjin 300387, China.
- Department of Communication Engineering, College of Electronic and Communication Engineering, Tianjin Normal University, Tianjin 300387, China
| | - Yujing Gao
- Tianjin Key Laboratory of Wireless Mobile Communications and Power Transmission, College of Electronic and Communication Engineering, Tianjin Normal University, Tianjin 300387, China.
- Department of Intelligence Science and Technology, College of Artificial Intelligence, Tianjin Normal University, Tianjin 300387, China
| | - Qiya Tao
- Tianjin Key Laboratory of Wireless Mobile Communications and Power Transmission, College of Electronic and Communication Engineering, Tianjin Normal University, Tianjin 300387, China.
- Department of Communication Engineering, College of Electronic and Communication Engineering, Tianjin Normal University, Tianjin 300387, China
| | - Weixiang Ye
- Center for Theoretical Physics, Hainan University, Haikou 570228, China.
- Department of Physics, School of Physical Science and Optoelectrical Engineering, Hainan University, Haikou 570228, China
| | - Yuan Jia
- Industrialization Center of Micro/Nano ICs and Devices, Sino-German College of Intelligent Manufacturing, Shenzhen Technology University, Shenzhen 518118, China.
| | - Xiaonan Zhao
- Tianjin Key Laboratory of Wireless Mobile Communications and Power Transmission, College of Electronic and Communication Engineering, Tianjin Normal University, Tianjin 300387, China.
- Department of Communication Engineering, College of Electronic and Communication Engineering, Tianjin Normal University, Tianjin 300387, China
| | - Bo Zhang
- Tianjin Key Laboratory of Wireless Mobile Communications and Power Transmission, College of Electronic and Communication Engineering, Tianjin Normal University, Tianjin 300387, China.
- Department of Communication Engineering, College of Electronic and Communication Engineering, Tianjin Normal University, Tianjin 300387, China
| | - Zhixing Zhang
- Industrialization Center of Micro/Nano ICs and Devices, Sino-German College of Intelligent Manufacturing, Shenzhen Technology University, Shenzhen 518118, China.
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4
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Zhang Y, Chen D, He W, Chen N, Zhou L, Yu L, Yang Y, Yuan Q. Interface-Engineered Field-Effect Transistor Electronic Devices for Biosensing. ADVANCED MATERIALS (DEERFIELD BEACH, FLA.) 2023:e2306252. [PMID: 38048547 DOI: 10.1002/adma.202306252] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/28/2023] [Revised: 09/17/2023] [Indexed: 12/06/2023]
Abstract
Promising advances in molecular medicine have promoted the urgent requirement for reliable and sensitive diagnostic tools. Electronic biosensing devices based on field-effect transistors (FETs) exhibit a wide range of benefits, including rapid and label-free detection, high sensitivity, easy operation, and capability of integration, possessing significant potential for application in disease screening and health monitoring. In this perspective, the tremendous efforts and achievements in the development of high-performance FET biosensors in the past decade are summarized, with emphasis on the interface engineering of FET-based electrical platforms for biomolecule identification. First, an overview of engineering strategies for interface modulation and recognition element design is discussed in detail. For a further step, the applications of FET-based electrical devices for in vitro detection and real-time monitoring in biological systems are comprehensively reviewed. Finally, the key opportunities and challenges of FET-based electronic devices in biosensing are discussed. It is anticipated that a comprehensive understanding of interface engineering strategies in FET biosensors will inspire additional techniques for developing highly sensitive, specific, and stable FET biosensors as well as emerging designs for next-generation biosensing electronics.
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Affiliation(s)
- Yun Zhang
- College of Chemistry and Molecular Sciences, Key Laboratory of Biomedical Polymers of Ministry of Education, Institute of Molecular Medicine, Renmin Hospital of Wuhan University, School of Microelectronics, Wuhan University, Wuhan, 430072, P. R. China
| | - Duo Chen
- College of Chemistry and Molecular Sciences, Key Laboratory of Biomedical Polymers of Ministry of Education, Institute of Molecular Medicine, Renmin Hospital of Wuhan University, School of Microelectronics, Wuhan University, Wuhan, 430072, P. R. China
| | - Wang He
- College of Chemistry and Molecular Sciences, Key Laboratory of Biomedical Polymers of Ministry of Education, Institute of Molecular Medicine, Renmin Hospital of Wuhan University, School of Microelectronics, Wuhan University, Wuhan, 430072, P. R. China
| | - Na Chen
- College of Chemistry and Molecular Sciences, Key Laboratory of Biomedical Polymers of Ministry of Education, Institute of Molecular Medicine, Renmin Hospital of Wuhan University, School of Microelectronics, Wuhan University, Wuhan, 430072, P. R. China
| | - Liping Zhou
- College of Chemistry and Molecular Sciences, Key Laboratory of Biomedical Polymers of Ministry of Education, Institute of Molecular Medicine, Renmin Hospital of Wuhan University, School of Microelectronics, Wuhan University, Wuhan, 430072, P. R. China
| | - Lilei Yu
- College of Chemistry and Molecular Sciences, Key Laboratory of Biomedical Polymers of Ministry of Education, Institute of Molecular Medicine, Renmin Hospital of Wuhan University, School of Microelectronics, Wuhan University, Wuhan, 430072, P. R. China
| | - Yanbing Yang
- College of Chemistry and Molecular Sciences, Key Laboratory of Biomedical Polymers of Ministry of Education, Institute of Molecular Medicine, Renmin Hospital of Wuhan University, School of Microelectronics, Wuhan University, Wuhan, 430072, P. R. China
| | - Quan Yuan
- College of Chemistry and Molecular Sciences, Key Laboratory of Biomedical Polymers of Ministry of Education, Institute of Molecular Medicine, Renmin Hospital of Wuhan University, School of Microelectronics, Wuhan University, Wuhan, 430072, P. R. China
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5
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Wetzl C, Brosel-Oliu S, Carini M, Di Silvio D, Illa X, Villa R, Guimera A, Prats-Alfonso E, Prato M, Criado A. Covalent functionalisation controlled by molecular design for the aptameric recognition of serotonin in graphene-based field-effect transistors. NANOSCALE 2023; 15:16650-16657. [PMID: 37789811 PMCID: PMC10600654 DOI: 10.1039/d3nr04153k] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/18/2023] [Accepted: 09/19/2023] [Indexed: 10/05/2023]
Abstract
In the last decade, solution-gated graphene field effect transistors (GFETs) showed their versatility in the development of a miniaturized multiplexed platform for electrophysiological recordings and sensing. Due to their working mechanism, the surface functionalisation and immobilisation of receptors are pivotal to ensure the proper functioning of devices. Herein, we present a controlled covalent functionalisation strategy based on molecular design and electrochemical triggering, which provide a monolayer-like functionalisation of micro-GFET arrays retaining the electronic properties of graphenes. The functionalisation layer as a receptor was then employed as the linker for serotonin aptamer conjugation. The micro-GFET arrays display sensitivity toward the target analyte in the micromolar range in a physiological buffer (PBS 10 mM). The sensor allows the in-flow real-time monitoring of serotonin transient concentrations with fast and reversible responses.
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Affiliation(s)
- Cecilia Wetzl
- Center for Cooperative Research in Biomaterials (CIC biomaGUNE), Basque Research and Technology Alliance (BRTA), Paseo de Miramón 194, 20014, Donostia-San Sebastián, Spain.
- University of the Basque Country, UPV-EHU, 20018 San Sebastián, Spain
| | - Sergi Brosel-Oliu
- Instituto de Microelectrónica de Barcelona, IMB-CNM (CSIC), Campus UAB, Bellaterra, Spain.
| | - Marco Carini
- Center for Cooperative Research in Biomaterials (CIC biomaGUNE), Basque Research and Technology Alliance (BRTA), Paseo de Miramón 194, 20014, Donostia-San Sebastián, Spain.
| | - Desiré Di Silvio
- Center for Cooperative Research in Biomaterials (CIC biomaGUNE), Basque Research and Technology Alliance (BRTA), Paseo de Miramón 194, 20014, Donostia-San Sebastián, Spain.
| | - Xavi Illa
- Instituto de Microelectrónica de Barcelona, IMB-CNM (CSIC), Campus UAB, Bellaterra, Spain.
- Centro de Investigación Biomédica en Red de Bioingeniería, Biomateriales y Nanomedicina, Instituto de Salud Carlos III, Spain
| | - Rosa Villa
- Instituto de Microelectrónica de Barcelona, IMB-CNM (CSIC), Campus UAB, Bellaterra, Spain.
- Centro de Investigación Biomédica en Red de Bioingeniería, Biomateriales y Nanomedicina, Instituto de Salud Carlos III, Spain
| | - Anton Guimera
- Instituto de Microelectrónica de Barcelona, IMB-CNM (CSIC), Campus UAB, Bellaterra, Spain.
- Centro de Investigación Biomédica en Red de Bioingeniería, Biomateriales y Nanomedicina, Instituto de Salud Carlos III, Spain
| | - Elisabet Prats-Alfonso
- Instituto de Microelectrónica de Barcelona, IMB-CNM (CSIC), Campus UAB, Bellaterra, Spain.
- Centro de Investigación Biomédica en Red de Bioingeniería, Biomateriales y Nanomedicina, Instituto de Salud Carlos III, Spain
| | - Maurizio Prato
- Center for Cooperative Research in Biomaterials (CIC biomaGUNE), Basque Research and Technology Alliance (BRTA), Paseo de Miramón 194, 20014, Donostia-San Sebastián, Spain.
- Ikerbasque, Basque Foundation for Science, Bilbao, Spain
- Dipartimento di Scienze Chimiche e Farmaceutiche, Università degli Studi di Trieste, Trieste, Italy
| | - Alejandro Criado
- Center for Cooperative Research in Biomaterials (CIC biomaGUNE), Basque Research and Technology Alliance (BRTA), Paseo de Miramón 194, 20014, Donostia-San Sebastián, Spain.
- Universidade da Coruña, CICA - Centro Interdisciplinar de Química e Bioloxía, Rúa as Carballeiras, 15071 A Coruña, Spain.
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6
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Wu G, Zhang ET, Qiang Y, Esmonde C, Chen X, Wei Z, Song Y, Zhang X, Schneider MJ, Li H, Sun H, Weng Z, Santaniello S, He J, Lai RY, Li Y, Bruchas MR, Zhang Y. Long-Term In Vivo Molecular Monitoring Using Aptamer-Graphene Microtransistors. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.10.18.562080. [PMID: 37905115 PMCID: PMC10614860 DOI: 10.1101/2023.10.18.562080] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/02/2023]
Abstract
Long-term, real-time molecular monitoring in complex biological environments is critical for our ability to understand, prevent, diagnose, and manage human diseases. Aptamer-based electrochemical biosensors possess the promise due to their generalizability and a high degree of selectivity. Nevertheless, the operation of existing aptamer-based biosensors in vivo is limited to a few hours. Here, we report a first-generation long-term in vivo molecular monitoring platform, named aptamer-graphene microtransistors (AGMs). The AGM incorporates a layer of pyrene-(polyethylene glycol)5-alcohol and DNase inhibitor-doped polyacrylamide hydrogel coating to reduce biofouling and aptamer degradation. As a demonstration of function and generalizability, the AGM achieves the detection of biomolecules such as dopamine and serotonin in undiluted whole blood at 37 °C for 11 days. Furthermore, the AGM successfully captures optically evoked dopamine release in vivo in mice for over one week and demonstrates the capability to monitor behaviorally-induced endogenous dopamine release even after eight days of implantation in freely moving mice. The results reported in this work establish the potential for chronic aptamer-based molecular monitoring platforms, and thus serve as a new benchmark for molecular monitoring using aptamer-based technology.
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Affiliation(s)
- Guangfu Wu
- Department of Biomedical Engineering, University of Connecticut, Storrs, CT 06269, USA
- Institute of Materials Science, University of Connecticut, Storrs, CT 06269, USA
| | - Eric T. Zhang
- Department of Bioengineering, University of Washington, Seattle, WA 98195, USA
- Center for Neurobiology of Addiction, Pain, and Emotion, University of Washington, Seattle, WA 98195, USA
| | - Yingqi Qiang
- Department of Biomedical Engineering, University of Connecticut, Storrs, CT 06269, USA
- Institute of Materials Science, University of Connecticut, Storrs, CT 06269, USA
| | - Colin Esmonde
- Department of Chemical and Biomedical Engineering, FAMU-FSU College of Engineering, Florida State University, Tallahassee, FL 32306, USA
| | - Xingchi Chen
- Department of Chemical and Biomedical Engineering, FAMU-FSU College of Engineering, Florida State University, Tallahassee, FL 32306, USA
| | - Zichao Wei
- Department of Chemistry, University of Connecticut, Storrs, CT 06269, USA
| | - Yang Song
- Department of Biomedical Engineering, University of Connecticut, Storrs, CT 06269, USA
- Institute of Materials Science, University of Connecticut, Storrs, CT 06269, USA
| | - Xincheng Zhang
- Department of Biomedical Engineering, University of Connecticut, Storrs, CT 06269, USA
- Institute of Materials Science, University of Connecticut, Storrs, CT 06269, USA
| | - Michael J. Schneider
- Department of Biomedical Engineering, University of Connecticut, Storrs, CT 06269, USA
| | - Huijie Li
- Department of Biomedical Engineering, University of Connecticut, Storrs, CT 06269, USA
- Institute of Materials Science, University of Connecticut, Storrs, CT 06269, USA
| | - He Sun
- Department of Biomedical Engineering, University of Connecticut, Storrs, CT 06269, USA
- Institute of Materials Science, University of Connecticut, Storrs, CT 06269, USA
| | - Zhengyan Weng
- Department of Biomedical Engineering, University of Connecticut, Storrs, CT 06269, USA
- Institute of Materials Science, University of Connecticut, Storrs, CT 06269, USA
| | - Sabato Santaniello
- Department of Biomedical Engineering, University of Connecticut, Storrs, CT 06269, USA
| | - Jie He
- Department of Chemistry, University of Connecticut, Storrs, CT 06269, USA
| | - Rebecca Y. Lai
- Department of Chemistry, University of Nebraska-Lincoln, Lincoln, NE 68588, USA
| | - Yan Li
- Department of Chemical and Biomedical Engineering, FAMU-FSU College of Engineering, Florida State University, Tallahassee, FL 32306, 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, University of Connecticut, Storrs, CT 06269, USA
- Institute of Materials Science, University of Connecticut, Storrs, CT 06269, USA
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7
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Hu Z, Zhu R, Figueroa-Miranda G, Zhou L, Feng L, Offenhäusser A, Mayer D. Truncated Electrochemical Aptasensor with Enhanced Antifouling Capability for Highly Sensitive Serotonin Detection. BIOSENSORS 2023; 13:881. [PMID: 37754115 PMCID: PMC10527390 DOI: 10.3390/bios13090881] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/03/2023] [Revised: 09/06/2023] [Accepted: 09/08/2023] [Indexed: 09/28/2023]
Abstract
Accurate determination of serotonin (ST) provides insight into neurological processes and enables applications in clinical diagnostics of brain diseases. Herein, we present an electrochemical aptasensor based on truncated DNA aptamers and a polyethylene glycol (PEG) molecule-functionalized sensing interface for highly sensitive and selective ST detection. The truncated aptamers have a small size and adopt a stable stem-loop configuration, which improves the accessibility of the aptamer for the analyte and enhances the sensitivity of the aptasensor. Upon target binding, these aptamers perform a conformational change, leading to a variation in the Faraday current of the redox tag, which was recorded by square wave voltammetry (SWV). Using PEG as blocking molecules minimizes nonspecific adsorption of other interfering molecules and thus endows an enhanced antifouling ability. The proposed electrochemical aptamer sensor showed a wide range of detection lasting from 0.1 nM to 1000 nM with a low limit of detection of 0.14 nM. Owing to the unique properties of aptamer receptors, the aptasensor also exhibits high selectivity and stability. Furthermore, with the reduced unspecific adsorption, assaying of ST in human serum and artificial cerebrospinal fluid (aCSF) showed excellent performance. The reported strategy of utilizing antifouling PEG describes a novel approach to building antifouling aptasensors and holds great potential for neurochemical investigations and clinical diagnosis.
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Affiliation(s)
- Ziheng Hu
- Institute of Biological Information Processing, Bioelectronics (IBI-3), Forschungszentrum Jülich GmbH, 52428 Jülich, Germany; (Z.H.); (R.Z.); (G.F.-M.); (L.Z.); (A.O.)
- Faculty I, RWTH Aachen University, 52062 Aachen, Germany
| | - Ruifeng Zhu
- Institute of Biological Information Processing, Bioelectronics (IBI-3), Forschungszentrum Jülich GmbH, 52428 Jülich, Germany; (Z.H.); (R.Z.); (G.F.-M.); (L.Z.); (A.O.)
| | - Gabriela Figueroa-Miranda
- Institute of Biological Information Processing, Bioelectronics (IBI-3), Forschungszentrum Jülich GmbH, 52428 Jülich, Germany; (Z.H.); (R.Z.); (G.F.-M.); (L.Z.); (A.O.)
| | - Lei Zhou
- Institute of Biological Information Processing, Bioelectronics (IBI-3), Forschungszentrum Jülich GmbH, 52428 Jülich, Germany; (Z.H.); (R.Z.); (G.F.-M.); (L.Z.); (A.O.)
| | - Lingyan Feng
- Department of Materials Genome Institute, and Department of Chemistry, College of Science, Shanghai University, Shanghai 200444, China;
| | - Andreas Offenhäusser
- Institute of Biological Information Processing, Bioelectronics (IBI-3), Forschungszentrum Jülich GmbH, 52428 Jülich, Germany; (Z.H.); (R.Z.); (G.F.-M.); (L.Z.); (A.O.)
| | - Dirk Mayer
- Institute of Biological Information Processing, Bioelectronics (IBI-3), Forschungszentrum Jülich GmbH, 52428 Jülich, Germany; (Z.H.); (R.Z.); (G.F.-M.); (L.Z.); (A.O.)
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8
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Gao N, Pan J, Wang L, Cai Z, Chang G, Wu Y, He Y. Novel graphene electrochemical transistors incorporating zirconia inorganic molecular imprinted layer:Design, construction and application for highly sensitive and selective detection of acetaminophen. Anal Chim Acta 2023; 1269:341405. [PMID: 37290852 DOI: 10.1016/j.aca.2023.341405] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2023] [Revised: 05/11/2023] [Accepted: 05/22/2023] [Indexed: 06/10/2023]
Abstract
Owing to their intrinsic amplifying effect together with chemical stability, graphene electrochemical transistor sensors (GECTs) are gaining momentum for sensing applications. However, the surface of GECTs for different detection substances must be modified with different recognition molecules, which was cumbersome and lack a universal method. Molecularly imprinted polymer (MIP) is a kind of polymer with specific recognition function for given molecules. Here, MIP and GECTs were combined to effectively solve the problem of weak selectivity of GECTs, and achieve the high sensitivity and selectivity of MIP-GECTs equipment in detecting acetaminophen (AP) in complex urine environment. A novel molecular imprinting sensor based on Au nanoparticles modified zirconia (ZrO2) inorganic molecular imprinting membrane on reduced graphene oxide (ZrO2-MIP-Au/rGO) was proposed. ZrO2-MIP-Au/rGO was synthesized by one-step electropolymerization using AP as template, ZrO2 precursor as the functional monomer. The -OH group on ZrO2 and the -OH/-CONH- group on AP were easily bonded by hydrogen bonding to form a MIP layer on the surface, which allows the sensor to have a large number of imprinted cavities for AP specific adsorption. As a proof of method, the GECTs based on ZrO2-MIP-Au/rGO functional gate electrode has the characteristics of wide linear range (0.1 nM-4 mM), low detection limit (0.1 nM) and high selectivity for AP detection. These achievements highlight the introduction of specific and selective MIP to GECTs with unique amplification function, which could effectively solve the problem of selectivity of GECTs in complex environments, suggesting the potential of MIP-GECTs in real-time diagnosis.
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Affiliation(s)
- Nan Gao
- Ministry-of-Education Key Laboratory for the Green Preparation and Application of Functional Materials, Hubei Key Laboratory of Polymer Materials, School of Materials Science and Engineering, Hubei University, No.368 Youyi Avenue, Wuchang, Wuhan, 430062, China
| | - Junzi Pan
- Ministry-of-Education Key Laboratory for the Green Preparation and Application of Functional Materials, Hubei Key Laboratory of Polymer Materials, School of Materials Science and Engineering, Hubei University, No.368 Youyi Avenue, Wuchang, Wuhan, 430062, China
| | - Lei Wang
- Ministry-of-Education Key Laboratory for the Green Preparation and Application of Functional Materials, Hubei Key Laboratory of Polymer Materials, School of Materials Science and Engineering, Hubei University, No.368 Youyi Avenue, Wuchang, Wuhan, 430062, China
| | - Zhiwei Cai
- Ministry-of-Education Key Laboratory for the Green Preparation and Application of Functional Materials, Hubei Key Laboratory of Polymer Materials, School of Materials Science and Engineering, Hubei University, No.368 Youyi Avenue, Wuchang, Wuhan, 430062, China
| | - Gang Chang
- Ministry-of-Education Key Laboratory for the Green Preparation and Application of Functional Materials, Hubei Key Laboratory of Polymer Materials, School of Materials Science and Engineering, Hubei University, No.368 Youyi Avenue, Wuchang, Wuhan, 430062, China.
| | - Yuxiang Wu
- School of Physical Education, Jianghan University, Wuhan, 430056, China.
| | - Yunbin He
- Ministry-of-Education Key Laboratory for the Green Preparation and Application of Functional Materials, Hubei Key Laboratory of Polymer Materials, School of Materials Science and Engineering, Hubei University, No.368 Youyi Avenue, Wuchang, Wuhan, 430062, China.
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9
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Luan L, Yin R, Zhu H, Xie C. Emerging Penetrating Neural Electrodes: In Pursuit of Large Scale and Longevity. Annu Rev Biomed Eng 2023; 25:185-205. [PMID: 37289556 PMCID: PMC11078330 DOI: 10.1146/annurev-bioeng-090622-050507] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/10/2023]
Abstract
Penetrating neural electrodes provide a powerful approach to decipher brain circuitry by allowing for time-resolved electrical detections of individual action potentials. This unique capability has contributed tremendously to basic and translational neuroscience, enabling both fundamental understandings of brain functions and applications of human prosthetic devices that restore crucial sensations and movements. However, conventional approaches are limited by the scarce number of available sensing channels and compromised efficacy over long-term implantations. Recording longevity and scalability have become the most sought-after improvements in emerging technologies. In this review, we discuss the technological advances in the past 5-10 years that have enabled larger-scale, more detailed, and longer-lasting recordings of neural circuits at work than ever before. We present snapshots of the latest advances in penetration electrode technology, showcase their applications in animal models and humans, and outline the underlying design principles and considerations to fuel future technological development.
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Affiliation(s)
- Lan Luan
- Department of Electrical and Computer Engineering, Rice University, Houston, Texas, USA;
- Rice Neuroengineering Initiative, Rice University, Houston, Texas, USA
- Department of Bioengineering, Rice University, Houston, Texas, USA
| | - Rongkang Yin
- Department of Electrical and Computer Engineering, Rice University, Houston, Texas, USA;
- Rice Neuroengineering Initiative, Rice University, Houston, Texas, USA
| | - Hanlin Zhu
- Department of Electrical and Computer Engineering, Rice University, Houston, Texas, USA;
- Rice Neuroengineering Initiative, Rice University, Houston, Texas, USA
| | - Chong Xie
- Department of Electrical and Computer Engineering, Rice University, Houston, Texas, USA;
- Rice Neuroengineering Initiative, Rice University, Houston, Texas, USA
- Department of Bioengineering, Rice University, Houston, Texas, USA
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10
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Wang J, Chen D, Huang W, Yang N, Yuan Q, Yang Y. Aptamer-functionalized field-effect transistor biosensors for disease diagnosis and environmental monitoring. EXPLORATION (BEIJING, CHINA) 2023; 3:20210027. [PMID: 37933385 PMCID: PMC10624392 DOI: 10.1002/exp.20210027] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/07/2022] [Accepted: 03/10/2023] [Indexed: 11/08/2023]
Abstract
Nano-biosensors that are composed of recognition molecules and nanomaterials have been extensively utilized in disease diagnosis, health management, and environmental monitoring. As a type of nano-biosensors, molecular specificity field-effect transistor (FET) biosensors with signal amplification capability exhibit prominent advantages including fast response speed, ease of miniaturization, and integration, promising their high sensitivity for molecules detection and identification. With intrinsic characteristics of high stability and structural tunability, aptamer has become one of the most commonly applied biological recognition units in the FET sensing fields. This review summarizes the recent progress of FET biosensors based on aptamer functionalized nanomaterials in medical diagnosis and environmental monitoring. The structure, sensing principles, preparation methods, and functionalization strategies of aptamer modified FET biosensors were comprehensively summarized. The relationship between structure and sensing performance of FET biosensors was reviewed. Furthermore, the challenges and future perspectives of FET biosensors were also discussed, so as to provide support for the future development of efficient healthcare management and environmental monitoring devices.
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Affiliation(s)
- Jingfeng Wang
- College of Chemistry and Molecular Sciences, Institute of Molecular MedicineRenmin Hospital of Wuhan University, School of Microelectronics, Wuhan UniversityWuhanChina
| | - Duo Chen
- College of Chemistry and Molecular Sciences, Institute of Molecular MedicineRenmin Hospital of Wuhan University, School of Microelectronics, Wuhan UniversityWuhanChina
| | - Wanting Huang
- College of Chemistry and Molecular Sciences, Institute of Molecular MedicineRenmin Hospital of Wuhan University, School of Microelectronics, Wuhan UniversityWuhanChina
| | - Nianjun Yang
- Department of Chemistry, Insititute of Materials ResearchHasselt UniversityHasseltBelgium
| | - Quan Yuan
- Molecular Science and Biomedicine Laboratory (MBL), State Key Laboratory of Chemo/Biosensing and Chemometrics, College of Chemistry and Chemical EngineeringHunan UniversityChangshaChina
| | - Yanbing Yang
- College of Chemistry and Molecular Sciences, Institute of Molecular MedicineRenmin Hospital of Wuhan University, School of Microelectronics, Wuhan UniversityWuhanChina
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11
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Chen X, Gong Y, Chen W. Advanced Temporally-Spatially Precise Technologies for On-Demand Neurological Disorder Intervention. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2023; 10:e2207436. [PMID: 36929323 PMCID: PMC10190591 DOI: 10.1002/advs.202207436] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/15/2022] [Revised: 02/18/2023] [Indexed: 05/18/2023]
Abstract
Temporal-spatial precision has attracted increasing attention for the clinical intervention of neurological disorders (NDs) to mitigate adverse effects of traditional treatments and achieve point-of-care medicine. Inspiring steps forward in this field have been witnessed in recent years, giving the credit to multi-discipline efforts from neurobiology, bioengineering, chemical materials, artificial intelligence, and so on, exhibiting valuable clinical translation potential. In this review, the latest progress in advanced temporally-spatially precise clinical intervention is highlighted, including localized parenchyma drug delivery, precise neuromodulation, as well as biological signal detection to trigger closed-loop control. Their clinical potential in both central and peripheral nervous systems is illustrated meticulously related to typical diseases. The challenges relative to biosafety and scaled production as well as their future perspectives are also discussed in detail. Notably, these intelligent temporally-spatially precision intervention systems could lead the frontier in the near future, demonstrating significant clinical value to support billions of patients plagued with NDs.
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Affiliation(s)
- Xiuli Chen
- Department of Pharmacology, School of Basic MedicineTongji Medical CollegeHuazhong University of Science and Technology430030WuhanChina
- Hubei Key Laboratory of Drug Target Research and Pharmacodynamic EvaluationHuazhong University of Science and Technology430030WuhanChina
| | - Yusheng Gong
- Department of Pharmacology, School of Basic MedicineTongji Medical CollegeHuazhong University of Science and Technology430030WuhanChina
- Hubei Key Laboratory of Drug Target Research and Pharmacodynamic EvaluationHuazhong University of Science and Technology430030WuhanChina
| | - Wei Chen
- Department of Pharmacology, School of Basic MedicineTongji Medical CollegeHuazhong University of Science and Technology430030WuhanChina
- Hubei Key Laboratory of Drug Target Research and Pharmacodynamic EvaluationHuazhong University of Science and Technology430030WuhanChina
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12
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Park JH, Eom YS, Kim TH. Recent Advances in Aptamer-Based Sensors for Sensitive Detection of Neurotransmitters. BIOSENSORS 2023; 13:bios13040413. [PMID: 37185488 PMCID: PMC10136356 DOI: 10.3390/bios13040413] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/23/2023] [Revised: 03/20/2023] [Accepted: 03/21/2023] [Indexed: 05/17/2023]
Abstract
In recent years, there has been an increased demand for highly sensitive and selective biosensors for neurotransmitters, owing to advancements in science and technology. Real-time sensing is crucial for effective prevention of neurological and cardiovascular diseases. In this review, we summarise the latest progress in aptamer-based biosensor technology, which offers the aforementioned advantages. Our focus is on various biomaterials utilised to ensure the optimal performance and high selectivity of aptamer-based biosensors. Overall, this review aims to further aptamer-based biosensor technology.
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Affiliation(s)
- Joon-Ha Park
- School of Integrative Engineering, Chung-Ang University, Seoul 06974, Republic of Korea
| | - Yun-Sik Eom
- School of Integrative Engineering, Chung-Ang University, Seoul 06974, Republic of Korea
| | - Tae-Hyung Kim
- School of Integrative Engineering, Chung-Ang University, Seoul 06974, Republic of Korea
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13
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He J, Spanolios E, Froehlich CE, Wouters CL, Haynes CL. Recent Advances in the Development and Characterization of Electrochemical and Electrical Biosensors for Small Molecule Neurotransmitters. ACS Sens 2023; 8:1391-1403. [PMID: 36940263 DOI: 10.1021/acssensors.3c00082] [Citation(s) in RCA: 11] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/22/2023]
Abstract
Neurotransmitters act as chemical messengers, determining human physiological and psychological function, and abnormal levels of neurotransmitters are related to conditions such as Parkinson's and Alzheimer's disease. Biologically and clinically relevant concentrations of neurotransmitters are usually very low (nM), so electrochemical and electronic sensors for neurotransmitter detection play an important role in achieving sensitive and selective detection. Additionally, these sensors have the distinct advantage to potentially be wireless, miniaturized, and multichannel, providing remarkable opportunities for implantable, long-term sensing capabilities unachievable by spectroscopic or chromatographic detection methods. In this article, we will focus on advances in the development and characterization of electrochemical and electronic sensors for neurotransmitters during the last five years, identifying how the field is progressing as well as critical knowledge gaps for sensor researchers.
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14
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Hu Z, Li Y, Figueroa-Miranda G, Musal S, Li H, Martínez-Roque MA, Hu Q, Feng L, Mayer D, Offenhäusser A. Aptamer based biosensor platforms for neurotransmitters analysis. Trends Analyt Chem 2023. [DOI: 10.1016/j.trac.2023.117021] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/16/2023]
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15
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Fredj Z, Sawan M. Advanced Nanomaterials-Based Electrochemical Biosensors for Catecholamines Detection: Challenges and Trends. BIOSENSORS 2023; 13:211. [PMID: 36831978 PMCID: PMC9953752 DOI: 10.3390/bios13020211] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 01/07/2023] [Revised: 01/27/2023] [Accepted: 01/27/2023] [Indexed: 06/18/2023]
Abstract
Catecholamines, including dopamine, epinephrine, and norepinephrine, are considered one of the most crucial subgroups of neurotransmitters in the central nervous system (CNS), in which they act at the brain's highest levels of mental function and play key roles in neurological disorders. Accordingly, the analysis of such catecholamines in biological samples has shown a great interest in clinical and pharmaceutical importance toward the early diagnosis of neurological diseases such as Epilepsy, Parkinson, and Alzheimer diseases. As promising routes for the real-time monitoring of catecholamine neurotransmitters, optical and electrochemical biosensors have been widely adopted and perceived as a dramatically accelerating development in the last decade. Therefore, this review aims to provide a comprehensive overview on the recent advances and main challenges in catecholamines biosensors. Particular emphasis is given to electrochemical biosensors, reviewing their sensing mechanism and the unique characteristics brought by the emergence of nanotechnology. Based on specific biosensors' performance metrics, multiple perspectives on the therapeutic use of nanomaterial for catecholamines analysis and future development trends are also summarized.
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16
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Stuart T, Jeang WJ, Slivicki RA, Brown BJ, Burton A, Brings VE, Alarcón-Segovia LC, Agyare P, Ruiz S, Tyree A, Pruitt L, Madhvapathy S, Niemiec M, Zhuang J, Krishnan S, Copits BA, Rogers JA, Gereau RW, Samineni VK, Bandodkar AJ, Gutruf P. Wireless, Battery-Free Implants for Electrochemical Catecholamine Sensing and Optogenetic Stimulation. ACS NANO 2023; 17:561-574. [PMID: 36548126 DOI: 10.1021/acsnano.2c09475] [Citation(s) in RCA: 14] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/21/2023]
Abstract
Neurotransmitters and neuromodulators mediate communication between neurons and other cell types; knowledge of release dynamics is critical to understanding their physiological role in normal and pathological brain function. Investigation into transient neurotransmitter dynamics has largely been hindered due to electrical and material requirements for electrochemical stimulation and recording. Current systems require complex electronics for biasing and amplification and rely on materials that offer limited sensor selectivity and sensitivity. These restrictions result in bulky, tethered, or battery-powered systems impacting behavior and that require constant care of subjects. To overcome these challenges, we demonstrate a fully implantable, wireless, and battery-free platform that enables optogenetic stimulation and electrochemical recording of catecholamine dynamics in real time. The device is nearly 1/10th the size of previously reported examples and includes a probe that relies on a multilayer electrode architecture featuring a microscale light emitting diode (μ-LED) and a carbon nanotube (CNT)-based sensor with sensitivities among the highest recorded in the literature (1264.1 nA μM-1 cm-2). High sensitivity of the probe combined with a center tapped antenna design enables the realization of miniaturized, low power circuits suitable for subdermal implantation even in small animal models such as mice. A series of in vitro and in vivo experiments highlight the sensitivity and selectivity of the platform and demonstrate its capabilities in freely moving, untethered subjects. Specifically, a demonstration of changes in dopamine concentration after optogenetic stimulation of the nucleus accumbens and real-time readout of dopamine levels after opioid and naloxone exposure in freely behaving subjects highlight the experimental paradigms enabled by the platform.
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Affiliation(s)
- Tucker Stuart
- Department of Biomedical Engineering, University of Arizona, Tucson, Arizona 85721, United States
| | - William J Jeang
- Department of Materials Science and Engineering, Northwestern University, Evanston, Illinois 60201, United States
| | - Richard A Slivicki
- Department of Anesthesiology, Washington University School of Medicine, St. Louis, Missouri 63110, United States
- Washington University Pain Center, Washington University School of Medicine, St. Louis, Missouri 63110, United States
| | - Bobbie J Brown
- Department of Anesthesiology, Washington University School of Medicine, St. Louis, Missouri 63110, United States
- Washington University Pain Center, Washington University School of Medicine, St. Louis, Missouri 63110, United States
| | - Alex Burton
- Department of Biomedical Engineering, University of Arizona, Tucson, Arizona 85721, United States
| | - Victoria E Brings
- Department of Anesthesiology, Washington University School of Medicine, St. Louis, Missouri 63110, United States
- Washington University Pain Center, Washington University School of Medicine, St. Louis, Missouri 63110, United States
| | - Lilian C Alarcón-Segovia
- Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, Illinois 60201, United States
| | - Prophecy Agyare
- Department of Neuroscience, Northwestern University, Evanston, Illinois 60201, United States
| | - Savanna Ruiz
- Department of Materials Science and Engineering, Northwestern University, Evanston, Illinois 60201, United States
| | - Amanda Tyree
- Department of Biomedical Engineering, University of Arizona, Tucson, Arizona 85721, United States
| | - Lindsay Pruitt
- Department of Biomedical Engineering, University of Arizona, Tucson, Arizona 85721, United States
| | - Surabhi Madhvapathy
- Department of Materials Science and Engineering, Northwestern University, Evanston, Illinois 60201, United States
| | - Martin Niemiec
- Department of Biomedical Engineering, University of Arizona, Tucson, Arizona 85721, United States
| | - James Zhuang
- Department of Biomedical Engineering, University of Arizona, Tucson, Arizona 85721, United States
| | - Siddharth Krishnan
- Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, Illinois 60201, United States
| | - Bryan A Copits
- Department of Anesthesiology, Washington University School of Medicine, St. Louis, Missouri 63110, United States
- Washington University Pain Center, Washington University School of Medicine, St. Louis, Missouri 63110, United States
| | - John A Rogers
- Department of Materials Science and Engineering, Northwestern University, Evanston, Illinois 60201, United States
- Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, Illinois 60201, United States
- Department of Mechanical Engineering, Northwestern University, Evanston, Illinois 60201, United States
- Department of Biomedical Engineering, Northwestern University, Evanston, Illinois 60201, United States
- Department of Neurological Surgery, Feinberg School of Medicine, Northwestern University, Evanston, Illinois 60201, United States
- Department of Neurological Surgery, Northwestern University, Evanston, Illinois 60208, United States
- Center for Bio-Integrated Electronics, Northwestern University, Evanston, Illinois 60208, United States
| | - Robert W Gereau
- Department of Anesthesiology, Washington University School of Medicine, St. Louis, Missouri 63110, United States
- Washington University Pain Center, Washington University School of Medicine, St. Louis, Missouri 63110, United States
- Department of Neuroscience, Washington University, St. Louis, Missouri 63110, United States
- Department of Biomedical Engineering, Washington University, St. Louis, Missouri 63110, United States
| | - Vijay K Samineni
- Department of Anesthesiology, Washington University School of Medicine, St. Louis, Missouri 63110, United States
- Washington University Pain Center, Washington University School of Medicine, St. Louis, Missouri 63110, United States
| | - Amay J Bandodkar
- Department of Electrical and Computer Engineering, North Carolina State University, Raleigh, North Carolina 27606, United States
- Center for Advanced Self-Powered Systems of Integrated Sensors and Technologies (ASSIST), North Carolina State University, Raleigh, North Carolina 27606, United States
| | - Philipp Gutruf
- Department of Biomedical Engineering, University of Arizona, Tucson, Arizona 85721, United States
- Department of Electrical and Computer Engineering, University of Arizona, Tucson, Arizona 85721, United States
- Bio5 Institute, University of Arizona, Tucson, Arizona 85721, United States
- Neuroscience GIDP, University of Arizona, Tucson, Arizona 85721, United States
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17
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Zhao C, Man T, Cao Y, Weiss PS, Monbouquette HG, Andrews AM. Flexible and Implantable Polyimide Aptamer-Field-Effect Transistor Biosensors. ACS Sens 2022; 7:3644-3653. [PMID: 36399772 PMCID: PMC9982941 DOI: 10.1021/acssensors.2c01909] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
Abstract
Monitoring neurochemical signaling across time scales is critical to understanding how brains encode and store information. Flexible (vs stiff) devices have been shown to improve in vivo monitoring, particularly over longer times, by reducing tissue damage and immunological responses. Here, we report our initial steps toward developing flexible and implantable neuroprobes with aptamer-field-effect transistor (FET) biosensors for neurotransmitter monitoring. A high-throughput process was developed to fabricate thin, flexible polyimide probes using microelectromechanical-system (MEMS) technologies, where 150 flexible probes were fabricated on each 4 in. Si wafer. Probes were 150 μm wide and 7 μm thick with two FETs per tip. The bending stiffness was 1.2 × 10-11 N·m2. Semiconductor thin films (3 nm In2O3) were functionalized with DNA aptamers for target recognition, which produces aptamer conformational rearrangements detected via changes in FET conductance. Flexible aptamer-FET neuroprobes detected serotonin at femtomolar concentrations in high-ionic strength artificial cerebrospinal fluid. A straightforward implantation process was developed, where microfabricated Si carrier devices assisted with implantation such that flexible neuroprobes detected physiological relevant serotonin in a tissue-hydrogel brain mimic.
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Affiliation(s)
- Chuanzhen Zhao
- Department of Chemistry and Biochemistry, University of California, Los Angeles, Los Angeles, California 90095, United States,California NanoSystems Institute, University of California, Los Angeles, Los Angeles, California 90095, United States
| | - Tianxing Man
- Department of Mechanical and Aerospace Engineering, University of California, Los Angeles, Los Angeles, California 90095, United States
| | - Yan Cao
- California NanoSystems Institute, University of California, Los Angeles, Los Angeles, California 90095, United States,Department of Chemical and Biomolecular Engineering, University of California, Los Angeles, Los Angeles, California 90095, United States
| | - Paul S. Weiss
- Department of Chemistry and Biochemistry, University of California, Los Angeles, Los Angeles, California 90095, United States,California NanoSystems Institute, University of California, Los Angeles, Los Angeles, California 90095, United States,Departments of Bioengineering and Materials Science and Engineering, University of California, Los Angeles, Los Angeles, California 90095, United States
| | - Harold G. Monbouquette
- California NanoSystems Institute, University of California, Los Angeles, Los Angeles, California 90095, United States,Department of Chemical and Biomolecular Engineering, University of California, Los Angeles, Los Angeles, California 90095, United States
| | - Anne M. Andrews
- Department of Chemistry and Biochemistry, University of California, Los Angeles, Los Angeles, California 90095, United States,California NanoSystems Institute, University of California, Los Angeles, Los Angeles, California 90095, United States,Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience & Human Behavior, and Hatos Center for Neuropharmacology, University of California, Los Angeles, Los Angeles, California 90095, United States,To whom correspondence should be addressed to:
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