1
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Cai Q, Chen M, Wang Z, Xu X, Zheng T. Surface-enhanced Raman scattering probes based on sea urchin-like Bi 2S 3@Co 3O 4 composite for the detection of dopamine during neural stem cell differentiation. SPECTROCHIMICA ACTA. PART A, MOLECULAR AND BIOMOLECULAR SPECTROSCOPY 2025; 332:125845. [PMID: 39923712 DOI: 10.1016/j.saa.2025.125845] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/29/2024] [Revised: 01/03/2025] [Accepted: 01/31/2025] [Indexed: 02/11/2025]
Abstract
Dopamine (DA) is a significant neurotransmitter involved in various functions of the central nervous system, containing the regulation of motor functions, arousal, motivation and reward processing. Therefore, precise measurement of DA concentrations is vital for studying different dopaminergic neural pathways and for the diagnosis of neurological disorders. Herein, we developed a new semiconductor surface-enhanced Raman spectroscopic (SERS) platform designed for the real-time monitoring DA release from live cells with high selectivity and sensitivity. The sea urchin-like Bi2S3@Co3O4 composite substrate exhibited not only a wide linear range from 1.00 to 1.00 × 103 nmol/L but also a limit of detection (LOD) as low as 0.92 nmol/L for Methylene Blue (MB) molecules. In addition, we monitored DA release during the differentiation of neural stem cells (NSCs) into dopaminergic neurons by virtue of our constructed SERS platform in a nondestructive and in situ manner. Consequently, the developed SERS platform facilitates the direct detection of exocytotic DA from neuronal cells, enabling real-time assessment of cell viability in models of neurodegenerative disease-related cellular damage.
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Affiliation(s)
- Qinyan Cai
- Shanghai Key Laboratory of Green Chemistry and Chemical Processes, Department of Chemistry, School of Chemistry and Molecular Engineering, East China Normal University, Dongchuan Road 500, Shanghai 200241, China
| | - Min Chen
- Shanghai Key Laboratory of Green Chemistry and Chemical Processes, Department of Chemistry, School of Chemistry and Molecular Engineering, East China Normal University, Dongchuan Road 500, Shanghai 200241, China
| | - Zhendi Wang
- Shanghai Key Laboratory of Green Chemistry and Chemical Processes, Department of Chemistry, School of Chemistry and Molecular Engineering, East China Normal University, Dongchuan Road 500, Shanghai 200241, China
| | - Xuan Xu
- State Key Laboratory of Analytical Chemistry for Life Science, School of Chemistry and Chemical Engineering, Nanjing University, Nanjing 210093, China
| | - Tingting Zheng
- Shanghai Key Laboratory of Green Chemistry and Chemical Processes, Department of Chemistry, School of Chemistry and Molecular Engineering, East China Normal University, Dongchuan Road 500, Shanghai 200241, China.
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2
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Ahmed AA, Alegret N, Almeida B, Alvarez-Puebla R, Andrews AM, Ballerini L, Barrios-Capuchino JJ, Becker C, Blick RH, Bonakdar S, Chakraborty I, Chen X, Cheon J, Chilla G, Coelho Conceicao AL, Delehanty J, Dulle M, Efros AL, Epple M, Fedyk M, Feliu N, Feng M, Fernández-Chacón R, Fernandez-Cuesta I, Fertig N, Förster S, Garrido JA, George M, Guse AH, Hampp N, Harberts J, Han J, Heekeren HR, Hofmann UG, Holzapfel M, Hosseinkazemi H, Huang Y, Huber P, Hyeon T, Ingebrandt S, Ienca M, Iske A, Kang Y, Kasieczka G, Kim DH, Kostarelos K, Lee JH, Lin KW, Liu S, Liu X, Liu Y, Lohr C, Mailänder V, Maffongelli L, Megahed S, Mews A, Mutas M, Nack L, Nakatsuka N, Oertner TG, Offenhäusser A, Oheim M, Otange B, Otto F, Patrono E, Peng B, Picchiotti A, Pierini F, Pötter-Nerger M, Pozzi M, Pralle A, Prato M, Qi B, Ramos-Cabrer P, Genger UR, Ritter N, Rittner M, Roy S, Santoro F, Schuck NW, Schulz F, Şeker E, Skiba M, Sosniok M, Stephan H, Wang R, Wang T, Wegner KD, Weiss PS, Xu M, Yang C, Zargarian SS, Zeng Y, Zhou Y, Zhu D, Zierold R, Parak WJ. Interfacing with the Brain: How Nanotechnology Can Contribute. ACS NANO 2025; 19:10630-10717. [PMID: 40063703 PMCID: PMC11948619 DOI: 10.1021/acsnano.4c10525] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/02/2024] [Revised: 12/19/2024] [Accepted: 12/24/2024] [Indexed: 03/26/2025]
Abstract
Interfacing artificial devices with the human brain is the central goal of neurotechnology. Yet, our imaginations are often limited by currently available paradigms and technologies. Suggestions for brain-machine interfaces have changed over time, along with the available technology. Mechanical levers and cable winches were used to move parts of the brain during the mechanical age. Sophisticated electronic wiring and remote control have arisen during the electronic age, ultimately leading to plug-and-play computer interfaces. Nonetheless, our brains are so complex that these visions, until recently, largely remained unreachable dreams. The general problem, thus far, is that most of our technology is mechanically and/or electrically engineered, whereas the brain is a living, dynamic entity. As a result, these worlds are difficult to interface with one another. Nanotechnology, which encompasses engineered solid-state objects and integrated circuits, excels at small length scales of single to a few hundred nanometers and, thus, matches the sizes of biomolecules, biomolecular assemblies, and parts of cells. Consequently, we envision nanomaterials and nanotools as opportunities to interface with the brain in alternative ways. Here, we review the existing literature on the use of nanotechnology in brain-machine interfaces and look forward in discussing perspectives and limitations based on the authors' expertise across a range of complementary disciplines─from neuroscience, engineering, physics, and chemistry to biology and medicine, computer science and mathematics, and social science and jurisprudence. We focus on nanotechnology but also include information from related fields when useful and complementary.
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Affiliation(s)
- Abdullah
A. A. Ahmed
- Fachbereich
Physik, Universität Hamburg, 22761 Hamburg, Germany
- Department
of Physics, Faculty of Applied Science, Thamar University, Dhamar 87246, Yemen
| | - Nuria Alegret
- Biogipuzkoa
HRI, Paseo Dr. Begiristain
s/n, 20014 Donostia-San
Sebastián, Spain
- Basque
Foundation for Science, Ikerbasque, 48013 Bilbao, Spain
| | - Bethany Almeida
- Department
of Chemical and Biomolecular Engineering, Clarkson University, Potsdam, New York 13699, United States
| | - Ramón Alvarez-Puebla
- Universitat
Rovira i Virgili, 43007 Tarragona, Spain
- ICREA, 08010 Barcelona, Spain
| | - Anne M. Andrews
- Department
of Chemistry and Biochemistry, University
of California, Los Angeles, Los
Angeles, California 90095, United States
- Neuroscience
Interdepartmental Program, 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
- California
Nanosystems Institute, University of California,
Los Angeles, Los Angeles, California 90095, United States
| | - Laura Ballerini
- Neuroscience
Area, International School for Advanced
Studies (SISSA/ISAS), Trieste 34136, Italy
| | | | - Charline Becker
- Fachbereich
Physik, Universität Hamburg, 22761 Hamburg, Germany
| | - Robert H. Blick
- Fachbereich
Physik, Universität Hamburg, 22761 Hamburg, Germany
| | - Shahin Bonakdar
- Fachbereich
Physik, Universität Hamburg, 22761 Hamburg, Germany
- National
Cell Bank Department, Pasteur Institute
of Iran, P.O. Box 1316943551, Tehran, Iran
| | - Indranath Chakraborty
- Fachbereich
Physik, Universität Hamburg, 22761 Hamburg, Germany
- School
of Nano Science and Technology, Indian Institute
of Technology Kharagpur, Kharagpur 721302, India
| | - Xiaodong Chen
- Innovative
Center for Flexible Devices (iFLEX), Max Planck − NTU Joint
Lab for Artificial Senses, School of Materials Science and Engineering, Nanyang Technological University, Singapore 639798, Singapore
| | - Jinwoo Cheon
- Institute
for Basic Science Center for Nanomedicine, Seodaemun-gu, Seoul 03722, Korea
- Advanced
Science Institute, Yonsei University, Seodaemun-gu, Seoul 03722, Korea
- Department
of Chemistry, Yonsei University, Seodaemun-gu, Seoul 03722, Korea
| | - Gerwin Chilla
- Fachbereich
Physik, Universität Hamburg, 22761 Hamburg, Germany
| | | | - James Delehanty
- U.S. Naval
Research Laboratory, Washington, D.C. 20375, United States
| | - Martin Dulle
- JCNS-1, Forschungszentrum
Jülich, 52428 Jülich, Germany
| | | | - Matthias Epple
- Inorganic
Chemistry and Center for Nanointegration Duisburg-Essen (CeNIDE), University of Duisburg-Essen, 45117 Essen, Germany
| | - Mark Fedyk
- Center
for Neuroengineering and Medicine, UC Davis, Sacramento, California 95817, United States
| | - Neus Feliu
- Zentrum
für Angewandte Nanotechnologie CAN, Fraunhofer-Institut für Angewandte Polymerforschung IAP, 20146 Hamburg, Germany
| | - Miao Feng
- Fachbereich
Physik, Universität Hamburg, 22761 Hamburg, Germany
| | - Rafael Fernández-Chacón
- Instituto
de Biomedicina de Sevilla (IBiS), Hospital
Universitario Virgen del Rocío/Consejo Superior de Investigaciones
Científicas/Universidad de Sevilla, 41013 Seville, Spain
- Departamento
de Fisiología Médica y Biofísica, Facultad de
Medicina, Universidad de Sevilla, CIBERNED,
ISCIII, 41013 Seville, Spain
| | | | - Niels Fertig
- Nanion
Technologies GmbH, 80339 München, Germany
| | | | - Jose A. Garrido
- ICREA, 08010 Barcelona, Spain
- Catalan
Institute of Nanoscience and Nanotechnology (ICN2), CSIC and BIST, 08193 Bellaterra, Spain
| | | | - Andreas H. Guse
- The Calcium
Signaling Group, Department of Biochemistry and Molecular Cell Biology, University Medical Center Hamburg-Eppendorf, 20251 Hamburg, Germany
| | - Norbert Hampp
- Fachbereich
Chemie, Universität Marburg, 35032 Marburg, Germany
| | - Jann Harberts
- Fachbereich
Physik, Universität Hamburg, 22761 Hamburg, Germany
- Drug Delivery,
Disposition and Dynamics, Monash Institute of Pharmaceutical Sciences, Monash University, Parkville, Victoria 3052, Australia
- Melbourne
Centre for Nanofabrication, Victorian Node
of the Australian National Fabrication Facility, Clayton, Victoria 3168, Australia
| | - Jili Han
- Fachbereich
Physik, Universität Hamburg, 22761 Hamburg, Germany
| | - Hauke R. Heekeren
- Executive
University Board, Universität Hamburg, 20148 Hamburg Germany
| | - Ulrich G. Hofmann
- Section
for Neuroelectronic Systems, Department for Neurosurgery, University Medical Center Freiburg, 79108 Freiburg, Germany
- Faculty
of Medicine, University of Freiburg, 79110 Freiburg, Germany
| | - Malte Holzapfel
- Zentrum
für Angewandte Nanotechnologie CAN, Fraunhofer-Institut für Angewandte Polymerforschung IAP, 20146 Hamburg, Germany
| | | | - Yalan Huang
- Fachbereich
Physik, Universität Hamburg, 22761 Hamburg, Germany
| | - Patrick Huber
- Institute
for Materials and X-ray Physics, Hamburg
University of Technology, 21073 Hamburg, Germany
- Center
for X-ray and Nano Science CXNS, Deutsches
Elektronen-Synchrotron DESY, 22607 Hamburg, Germany
| | - Taeghwan Hyeon
- Center
for Nanoparticle Research, Institute for Basic Science (IBS), Seoul 08826, Republic of Korea
- School
of Chemical and Biological Engineering, and Institute of Chemical
Processes, Seoul National University, Seoul 08826, Republic of Korea
| | - Sven Ingebrandt
- Institute
of Materials in Electrical Engineering 1, RWTH Aachen University, 52074 Aachen, Germany
| | - Marcello Ienca
- Institute
for Ethics and History of Medicine, School of Medicine and Health, Technische Universität München (TUM), 81675 München, Germany
| | - Armin Iske
- Fachbereich
Mathematik, Universität Hamburg, 20146 Hamburg, Germany
| | - Yanan Kang
- Fachbereich
Physik, Universität Hamburg, 22761 Hamburg, Germany
| | | | - Dae-Hyeong Kim
- Center
for Nanoparticle Research, Institute for Basic Science (IBS), Seoul 08826, Republic of Korea
- School
of Chemical and Biological Engineering, and Institute of Chemical
Processes, Seoul National University, Seoul 08826, Republic of Korea
| | - Kostas Kostarelos
- Catalan
Institute of Nanoscience and Nanotechnology (ICN2), CSIC and BIST, 08193 Bellaterra, Spain
- Centre
for Nanotechnology in Medicine, Faculty of Biology, Medicine &
Health and The National Graphene Institute, University of Manchester, Manchester M13 9PL, United
Kingdom
| | - Jae-Hyun Lee
- Institute
for Basic Science Center for Nanomedicine, Seodaemun-gu, Seoul 03722, Korea
- Advanced
Science Institute, Yonsei University, Seodaemun-gu, Seoul 03722, Korea
| | - Kai-Wei Lin
- Fachbereich
Physik, Universität Hamburg, 22761 Hamburg, Germany
| | - Sijin Liu
- State Key
Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environmental Sciences, Chinese
Academy of Sciences, Beijing 100085, China
- University
of the Chinese Academy of Sciences, Beijing 100049, China
| | - Xin Liu
- Fachbereich
Physik, Universität Hamburg, 22761 Hamburg, Germany
| | - Yang Liu
- Fachbereich
Physik, Universität Hamburg, 22761 Hamburg, Germany
| | - Christian Lohr
- Fachbereich
Biologie, Universität Hamburg, 20146 Hamburg, Germany
| | - Volker Mailänder
- Department
of Dermatology, Center for Translational Nanomedicine, Universitätsmedizin der Johannes-Gutenberg,
Universität Mainz, 55131 Mainz, Germany
- Max Planck
Institute for Polymer Research, Ackermannweg 10, 55129 Mainz, Germany
| | - Laura Maffongelli
- Institute
of Medical Psychology, University of Lübeck, 23562 Lübeck, Germany
| | - Saad Megahed
- Fachbereich
Physik, Universität Hamburg, 22761 Hamburg, Germany
- Physics
Department, Faculty of Science, Al-Azhar
University, 4434104 Cairo, Egypt
| | - Alf Mews
- Fachbereich
Chemie, Universität Hamburg, 20146 Hamburg, Germany
| | - Marina Mutas
- Zentrum
für Angewandte Nanotechnologie CAN, Fraunhofer-Institut für Angewandte Polymerforschung IAP, 20146 Hamburg, Germany
| | - Leroy Nack
- Fachbereich
Physik, Universität Hamburg, 22761 Hamburg, Germany
| | - Nako Nakatsuka
- Laboratory
of Chemical Nanotechnology (CHEMINA), Neuro-X
Institute, École Polytechnique Fédérale de Lausanne
(EPFL), Geneva CH-1202, Switzerland
| | - Thomas G. Oertner
- Institute
for Synaptic Neuroscience, University Medical
Center Hamburg-Eppendorf, 20251 Hamburg, Germany
| | - Andreas Offenhäusser
- Institute
of Biological Information Processing - Bioelectronics, Forschungszentrum Jülich, 52425 Jülich, Germany
| | - Martin Oheim
- Université
Paris Cité, CNRS, Saints Pères
Paris Institute for the Neurosciences, 75006 Paris, France
| | - Ben Otange
- Fachbereich
Physik, Universität Hamburg, 22761 Hamburg, Germany
| | - Ferdinand Otto
- Fachbereich
Physik, Universität Hamburg, 22761 Hamburg, Germany
| | - Enrico Patrono
- Institute
of Physiology, Czech Academy of Sciences, Prague 12000, Czech Republic
| | - Bo Peng
- Fachbereich
Physik, Universität Hamburg, 22761 Hamburg, Germany
| | | | - Filippo Pierini
- Department
of Biosystems and Soft Matter, Institute
of Fundamental Technological Research, Polish Academy of Sciences, 02-106 Warsaw, Poland
| | - Monika Pötter-Nerger
- Head and
Neurocenter, Department of Neurology, University
Medical Center Hamburg-Eppendorf, 20246 Hamburg, Germany
| | - Maria Pozzi
- Fachbereich
Physik, Universität Hamburg, 22761 Hamburg, Germany
| | - Arnd Pralle
- University
at Buffalo, Department of Physics, Buffalo, New York 14260, United States
| | - Maurizio Prato
- CIC biomaGUNE, Basque Research and Technology
Alliance (BRTA), 20014 Donostia-San
Sebastián, Spain
- Department
of Chemical and Pharmaceutical Sciences, University of Trieste, 34127 Trieste, Italy
- Basque
Foundation for Science, Ikerbasque, 48013 Bilbao, Spain
| | - Bing Qi
- Fachbereich
Physik, Universität Hamburg, 22761 Hamburg, Germany
- School
of Life Sciences, Southern University of
Science and Technology, Shenzhen, 518055, China
| | - Pedro Ramos-Cabrer
- CIC biomaGUNE, Basque Research and Technology
Alliance (BRTA), 20014 Donostia-San
Sebastián, Spain
- Basque
Foundation for Science, Ikerbasque, 48013 Bilbao, Spain
| | - Ute Resch Genger
- Division
Biophotonics, Federal Institute for Materials Research and Testing
(BAM), 12489 Berlin, Germany
| | - Norbert Ritter
- Executive
Faculty Board, Faculty for Mathematics, Informatics and Natural Sciences, Universität Hamburg, 20345 Hamburg, Germany
| | - Marten Rittner
- Fachbereich
Physik, Universität Hamburg, 22761 Hamburg, Germany
| | - Sathi Roy
- Zentrum
für Angewandte Nanotechnologie CAN, Fraunhofer-Institut für Angewandte Polymerforschung IAP, 20146 Hamburg, Germany
- Department
of Mechanical Engineering, Indian Institute
of Technology Kharagpur, Kharagpur 721302, India
| | - Francesca Santoro
- Institute
of Biological Information Processing - Bioelectronics, Forschungszentrum Jülich, 52425 Jülich, Germany
- Faculty
of Electrical Engineering and Information Technology, RWTH Aachen, 52074 Aachen, Germany
| | - Nicolas W. Schuck
- Institute
of Psychology, Universität Hamburg, 20146 Hamburg, Germany
- Max Planck
Research Group NeuroCode, Max Planck Institute
for Human Development, 14195 Berlin, Germany
- Max Planck
UCL Centre for Computational Psychiatry and Ageing Research, 14195 Berlin, Germany
| | - Florian Schulz
- Fachbereich
Physik, Universität Hamburg, 22761 Hamburg, Germany
| | - Erkin Şeker
- University
of California, Davis, Davis, California 95616, United States
| | - Marvin Skiba
- Fachbereich
Physik, Universität Hamburg, 22761 Hamburg, Germany
| | - Martin Sosniok
- Zentrum
für Angewandte Nanotechnologie CAN, Fraunhofer-Institut für Angewandte Polymerforschung IAP, 20146 Hamburg, Germany
| | - Holger Stephan
- Helmholtz-Zentrum
Dresden-Rossendorf, Institute of Radiopharmaceutical
Cancer Research, 01328 Dresden, Germany
| | - Ruixia Wang
- Fachbereich
Physik, Universität Hamburg, 22761 Hamburg, Germany
- Deutsches
Elektronen-Synchrotron DESY, 22607 Hamburg, Germany
| | - Ting Wang
- State Key
Laboratory of Organic Electronics and Information Displays & Jiangsu
Key Laboratory for Biosensors, Institute of Advanced Materials (IAM),
Jiangsu National Synergetic Innovation Center for Advanced Materials
(SICAM), Nanjing University of Posts and
Telecommunications, Nanjing 210023, China
| | - K. David Wegner
- Division
Biophotonics, Federal Institute for Materials Research and Testing
(BAM), 12489 Berlin, Germany
| | - 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
- Department
of Bioengineering, University of California,
Los Angeles, Los Angeles, California 90095, United States
- Department
of Materials Science and Engineering, University
of California, Los Angeles, Los
Angeles, California 90095, United States
| | - Ming Xu
- State Key
Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environmental Sciences, Chinese
Academy of Sciences, Beijing 100085, China
- University
of the Chinese Academy of Sciences, Beijing 100049, China
| | - Chenxi Yang
- Fachbereich
Physik, Universität Hamburg, 22761 Hamburg, Germany
| | - Seyed Shahrooz Zargarian
- Department
of Biosystems and Soft Matter, Institute
of Fundamental Technological Research, Polish Academy of Sciences, 02-106 Warsaw, Poland
| | - Yuan Zeng
- Fachbereich
Physik, Universität Hamburg, 22761 Hamburg, Germany
| | - Yaofeng Zhou
- Fachbereich
Physik, Universität Hamburg, 22761 Hamburg, Germany
| | - Dingcheng Zhu
- Fachbereich
Physik, Universität Hamburg, 22761 Hamburg, Germany
- College
of Material, Chemistry and Chemical Engineering, Key Laboratory of
Organosilicon Chemistry and Material Technology, Ministry of Education,
Key Laboratory of Organosilicon Material Technology, Hangzhou Normal University, Hangzhou 311121, China
| | - Robert Zierold
- Fachbereich
Physik, Universität Hamburg, 22761 Hamburg, Germany
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3
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Zehra N, Malik AH, Parui R, Hussain S, Krishnan Iyer P. A Conjugated Polymer-Based Portable Smartphone Platform for Sensitive and Point-Of-Care Detection of Monoamine Neurotransmitter. Chem Asian J 2024; 19:e202400544. [PMID: 38865578 DOI: 10.1002/asia.202400544] [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] [Received: 05/11/2024] [Revised: 06/11/2024] [Accepted: 06/12/2024] [Indexed: 06/14/2024]
Abstract
The precise and effective detection of neurotransmitters (NTs) is crucial for clinical investigation of neuronal processes, and timely monitoring of NT-related chronic diseases. However, sensitive detection of specific NT with unprecedented selectivity is highly challenging due to similarities in chemical and electronic structures of various interfering neurochemicals. Herein, an anionic conjugated polyelectrolyte Poly[(9,9-bis(4'-sulfonatobutyl)fluorene-co-alt-1,4-phenylene) sodium], PFPS was rationally designed and synthesized for amplified detection and point-of-care (PoC) determination of monoamine neurotransmitter, serotonin (5-Hydroxy tryptamine or 5-HT, also diagnostic biomarker of carcinoid tumor) in human blood plasma. The PFPS displayed a remarkable sensing response with an exceptionally high fluorescence quenching constant of 1.14×105 M-1 and an ultralow detection limit of 0.67 μM or 0.142 ppm, much below the clinical range. Furthermore, a smartphone-enabled portable platform was constructed for real-time onsite detection of 5-HT by quantification of visual fluorescence response of PFPS into RGB values using a color recognizer android application. The smartphone platform could be readily applied for convenient, non-invasive PoC testing of 5-HT levels in complex biological fluids accurately and is expected to revolutionize clinical diagnosis and personalized health care devices.
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Affiliation(s)
- Nehal Zehra
- Department of Chemistry, Indian Institute of Technology Guwahati, Guwahati, 781039., India
- Department of Chemistry, Shia P.G. College, Lucknow, 226020., U.P. India
| | - Akhtar H Malik
- Department of Chemistry, Government Degree College Sopore, Sopore, J & K, 193201, India
| | - Retwik Parui
- Department of Chemistry, Indian Institute of Technology Guwahati, Guwahati, 781039., India
| | - Sameer Hussain
- School of Chemistry, Xi'an Jiaotong University, Xi'an, 710049, Shaanxi, China
| | - Parameswar Krishnan Iyer
- Department of Chemistry, Indian Institute of Technology Guwahati, Guwahati, 781039., India
- Centre for Nanotechnology, Indian Institute of Technology Guwahati, Guwahati, 781039., India
- School of Health Science and Technology, Indian Institute of Technology Guwahati, Guwahati, 781039., India
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4
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Barshutina M, Arsenin A, Volkov V. SERS analysis of single cells and subcellular components: A review. Heliyon 2024; 10:e37396. [PMID: 39315187 PMCID: PMC11417266 DOI: 10.1016/j.heliyon.2024.e37396] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2024] [Revised: 08/12/2024] [Accepted: 09/03/2024] [Indexed: 09/25/2024] Open
Abstract
SERS is a rapidly advancing and non-destructive technique that has been proven to be more reliable and convenient than other traditional analytical methods. Due to its sensitivity and specificity, this technique is earning its place as a routine and powerful tool in biological and medical studies, especially for the analysis of living cells and subcellular components. This paper reviewed the research progress of single-cell SERS that has been made in the last few years and discussed challenges and future perspectives of this technique. The reviewed SERS platforms have been categorized according to their nature into the following types: (1) colloid-based, substrate-based, or hybrid; (2) ligand-based or ligand-free, and (3) label-based or label-free. The advantages and disadvantages of each type and their potential applications in various fields are thoroughly discussed.
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Affiliation(s)
- M. Barshutina
- Center for Photonics and 2D Materials, Moscow Institute of Physics and Technology, Dolgoprudny, Russia
| | - A. Arsenin
- Center for Photonics and 2D Materials, Moscow Institute of Physics and Technology, Dolgoprudny, Russia
- Laboratory of Advanced Functional Materials, Yerevan State University, Yerevan, Armenia
| | - V. Volkov
- Laboratory of Advanced Functional Materials, Yerevan State University, Yerevan, Armenia
- Emerging Technologies Research Center, XPANCEO, Dubai, United Arab Emirates
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5
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Choi JH, Haizan I, Choi JW. Recent advances in two-dimensional materials for the diagnosis and treatment of neurodegenerative diseases. DISCOVER NANO 2024; 19:151. [PMID: 39289310 PMCID: PMC11408446 DOI: 10.1186/s11671-024-04099-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/27/2024] [Accepted: 08/28/2024] [Indexed: 09/19/2024]
Abstract
With the size of the aging population increasing worldwide, the effective diagnosis and treatment of neurodegenerative diseases (NDDs) has become more important. Two-dimensional (2D) materials offer specific advantages for the diagnosis and treatment of NDDs due to their high sensitivity, selectivity, stability, and biocompatibility, as well as their excellent physical and chemical characteristics. As such, 2D materials offer a promising avenue for the development of highly sensitive, selective, and biocompatible theragnostics. This review provides an interdisciplinary overview of advanced 2D materials and their use in biosensors, drug delivery, and tissue engineering/regenerative medicine for the diagnosis and/or treatment of NDDs. The development of 2D material-based biosensors has enabled the early detection and monitoring of NDDs via the precise detection of biomarkers or biological changes, while 2D material-based drug delivery systems offer the targeted and controlled release of therapeutics to the brain, crossing the blood-brain barrier and enhancing treatment effectiveness. In addition, when used in tissue engineering and regenerative medicine, 2D materials facilitate cell growth, differentiation, and tissue regeneration to restore neuronal functions and repair damaged neural networks. Overall, 2D materials show great promise for use in the advanced treatment of NDDs, thus improving the quality of life for patients in an aging population.
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Affiliation(s)
- Jin-Ha Choi
- School of Chemical Engineering, Clean Energy Research Center, Jeonbuk National University, Jeonju, 54896, Republic of Korea
| | - Izzati Haizan
- School of Chemical Engineering, Clean Energy Research Center, Jeonbuk National University, Jeonju, 54896, Republic of Korea
| | - Jeong-Woo Choi
- Department of Chemical and Biomolecular Engineering, Sogang University, Seoul, 04107, Republic of Korea.
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6
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Boudries R, Williams H, Paquereau-Gaboreau S, Bashir S, Hojjat Jodaylami M, Chisanga M, Trudeau LÉ, Masson JF. Surface-Enhanced Raman Scattering Nanosensing and Imaging in Neuroscience. ACS NANO 2024; 18:22620-22647. [PMID: 39088751 DOI: 10.1021/acsnano.4c05200] [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: 08/03/2024]
Abstract
Monitoring neurochemicals and imaging the molecular content of brain tissues in vitro, ex vivo, and in vivo is essential for enhancing our understanding of neurochemistry and the causes of brain disorders. This review explores the potential applications of surface-enhanced Raman scattering (SERS) nanosensors in neurosciences, where their adoption could lead to significant progress in the field. These applications encompass detecting neurotransmitters or brain disorders biomarkers in biofluids with SERS nanosensors, and imaging normal and pathological brain tissues with SERS labeling. Specific studies highlighting in vitro, ex vivo, and in vivo analysis of brain disorders using fit-for-purpose SERS nanosensors will be detailed, with an emphasis on the ability of SERS to detect clinically pertinent levels of neurochemicals. Recent advancements in designing SERS-active nanomaterials, improving experimentation in biofluids, and increasing the usage of machine learning for interpreting SERS spectra will also be discussed. Furthermore, we will address the tagging of tissues presenting pathologies with nanoparticles for SERS imaging, a burgeoning domain of neuroscience that has been demonstrated to be effective in guiding tumor removal during brain surgery. The review also explores future research applications for SERS nanosensors in neuroscience, including monitoring neurochemistry in vivo with greater penetration using surface-enhanced spatially offset Raman scattering (SESORS), near-infrared lasers, and 2-photon techniques. The article concludes by discussing the potential of SERS for investigating the effectiveness of therapies for brain disorders and for integrating conventional neurochemistry techniques with SERS sensing.
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Affiliation(s)
- Ryma Boudries
- Department of Chemistry, Institut Courtois, Quebec Center for Advanced Materials (QCAM), and Regroupement Québécois sur les Matériaux de Pointe (RQMP), Université de Montréal, C.P. 6128 Succ. Centre-Ville, Montréal, Quebec H3C 3J7, Canada
| | - Hannah Williams
- Department of Chemistry, Institut Courtois, Quebec Center for Advanced Materials (QCAM), and Regroupement Québécois sur les Matériaux de Pointe (RQMP), Université de Montréal, C.P. 6128 Succ. Centre-Ville, Montréal, Quebec H3C 3J7, Canada
| | - Soraya Paquereau-Gaboreau
- Department of Chemistry, Institut Courtois, Quebec Center for Advanced Materials (QCAM), and Regroupement Québécois sur les Matériaux de Pointe (RQMP), Université de Montréal, C.P. 6128 Succ. Centre-Ville, Montréal, Quebec H3C 3J7, Canada
- Department of Pharmacology and Physiology, Department of Neurosciences, Faculty of Medicine, Université de Montréal, C.P. 6128 Succ. Centre-ville, Montréal, Quebec H3C 3J7, Canada
- Neural Signalling and Circuitry Research Group (SNC), Center for Interdisciplinary Research on the Brain and Learning (CIRCA), Université de Montréal, C.P. 6128 Succ. Centre-ville, Montréal, Quebec H3C 3J7, Canada
| | - Saba Bashir
- Department of Chemistry, Institut Courtois, Quebec Center for Advanced Materials (QCAM), and Regroupement Québécois sur les Matériaux de Pointe (RQMP), Université de Montréal, C.P. 6128 Succ. Centre-Ville, Montréal, Quebec H3C 3J7, Canada
| | - Maryam Hojjat Jodaylami
- Department of Chemistry, Institut Courtois, Quebec Center for Advanced Materials (QCAM), and Regroupement Québécois sur les Matériaux de Pointe (RQMP), Université de Montréal, C.P. 6128 Succ. Centre-Ville, Montréal, Quebec H3C 3J7, Canada
| | - Malama Chisanga
- Department of Chemistry, Institut Courtois, Quebec Center for Advanced Materials (QCAM), and Regroupement Québécois sur les Matériaux de Pointe (RQMP), Université de Montréal, C.P. 6128 Succ. Centre-Ville, Montréal, Quebec H3C 3J7, Canada
| | - Louis-Éric Trudeau
- Department of Pharmacology and Physiology, Department of Neurosciences, Faculty of Medicine, Université de Montréal, C.P. 6128 Succ. Centre-ville, Montréal, Quebec H3C 3J7, Canada
- Neural Signalling and Circuitry Research Group (SNC), Center for Interdisciplinary Research on the Brain and Learning (CIRCA), Université de Montréal, C.P. 6128 Succ. Centre-ville, Montréal, Quebec H3C 3J7, Canada
| | - Jean-Francois Masson
- Department of Chemistry, Institut Courtois, Quebec Center for Advanced Materials (QCAM), and Regroupement Québécois sur les Matériaux de Pointe (RQMP), Université de Montréal, C.P. 6128 Succ. Centre-Ville, Montréal, Quebec H3C 3J7, Canada
- Neural Signalling and Circuitry Research Group (SNC), Center for Interdisciplinary Research on the Brain and Learning (CIRCA), Université de Montréal, C.P. 6128 Succ. Centre-ville, Montréal, Quebec H3C 3J7, Canada
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Li Y, Jiang G, Wan Y, Dauda SAA, Pi F. Tailoring strategies of SERS tags-based sensors for cellular molecules detection and imaging. Talanta 2024; 276:126283. [PMID: 38776777 DOI: 10.1016/j.talanta.2024.126283] [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: 02/17/2024] [Revised: 05/02/2024] [Accepted: 05/17/2024] [Indexed: 05/25/2024]
Abstract
As an emerging nanoprobe, surface enhanced Raman scattering (SERS) tags hold significant promise in sensing and bioimaging applications due to their attractive merits of anti-photobleaching ability, high sensitivity and specificity, multiplex, and low background capabilities. Recently, several reviews have proposed the application of SERS tags in different fields, however, the specific sensing strategies of SERS tags-based sensors for cellular molecules have not yet been systematically summarized. To provide beneficial and comprehensive insights into the advanced SERS tags technique at the cellular level, this review systematically elaborated on the latest advances in SERS tags-based sensors for cellular molecules detection and imaging. The general SERS tags-based sensing strategies for biomolecules and ions were first introduced according to molecular classes. Then, aiming at such molecules located in the extracellular, cellular membrane and intracellular regions, the tailored strategies by designing and manipulating SERS tags were summarized and explored through several key examples. Finally, the challenges and perspectives of developing high performance of advanced SERS tags were briefly discussed to provide effective guidance for further development and extended applications.
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Affiliation(s)
- Yu Li
- State Key Laboratory of Food Science and Technology, School of Food Science and Technology, Jiangnan University, Wuxi, Jiangsu, 214122, China; Collaborative Innovation Center of Food Safety and Quality Control in Jiangsu Province, Jiangnan University, Wuxi, Jiangsu, 214122, China; International Joint Laboratory on Food Safety, Jiangnan University, Wuxi, Jiangsu, 214122, China
| | - Guoyong Jiang
- State Key Laboratory of Food Science and Technology, School of Food Science and Technology, Jiangnan University, Wuxi, Jiangsu, 214122, China; Collaborative Innovation Center of Food Safety and Quality Control in Jiangsu Province, Jiangnan University, Wuxi, Jiangsu, 214122, China; International Joint Laboratory on Food Safety, Jiangnan University, Wuxi, Jiangsu, 214122, China
| | - Yuqi Wan
- State Key Laboratory of Food Science and Technology, School of Food Science and Technology, Jiangnan University, Wuxi, Jiangsu, 214122, China; Collaborative Innovation Center of Food Safety and Quality Control in Jiangsu Province, Jiangnan University, Wuxi, Jiangsu, 214122, China; International Joint Laboratory on Food Safety, Jiangnan University, Wuxi, Jiangsu, 214122, China
| | - Sa-Adu Abiola Dauda
- School of Allied Health Sciences, University for Development Studies, P.O. Box 1883, Tamale, Ghana
| | - Fuwei Pi
- State Key Laboratory of Food Science and Technology, School of Food Science and Technology, Jiangnan University, Wuxi, Jiangsu, 214122, China; Collaborative Innovation Center of Food Safety and Quality Control in Jiangsu Province, Jiangnan University, Wuxi, Jiangsu, 214122, China; International Joint Laboratory on Food Safety, Jiangnan University, Wuxi, Jiangsu, 214122, China.
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8
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Lachance GP, Gauvreau D, Boisselier É, Boukadoum M, Miled A. Breaking Barriers: Exploring Neurotransmitters through In Vivo vs. In Vitro Rivalry. SENSORS (BASEL, SWITZERLAND) 2024; 24:647. [PMID: 38276338 PMCID: PMC11154401 DOI: 10.3390/s24020647] [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: 11/29/2023] [Revised: 01/11/2024] [Accepted: 01/16/2024] [Indexed: 01/27/2024]
Abstract
Neurotransmitter analysis plays a pivotal role in diagnosing and managing neurodegenerative diseases, often characterized by disturbances in neurotransmitter systems. However, prevailing methods for quantifying neurotransmitters involve invasive procedures or require bulky imaging equipment, therefore restricting accessibility and posing potential risks to patients. The innovation of compact, in vivo instruments for neurotransmission analysis holds the potential to reshape disease management. This innovation can facilitate non-invasive and uninterrupted monitoring of neurotransmitter levels and their activity. Recent strides in microfabrication have led to the emergence of diminutive instruments that also find applicability in in vitro investigations. By harnessing the synergistic potential of microfluidics, micro-optics, and microelectronics, this nascent realm of research holds substantial promise. This review offers an overarching view of the current neurotransmitter sensing techniques, the advances towards in vitro microsensors tailored for monitoring neurotransmission, and the state-of-the-art fabrication techniques that can be used to fabricate those microsensors.
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Affiliation(s)
| | - Dominic Gauvreau
- Department Electrical Engineering, Université Laval, Québec, QC G1V 0A6, Canada; (G.P.L.); (D.G.)
| | - Élodie Boisselier
- Department Ophthalmology and Otolaryngology—Head and Neck Surgery, Université Laval, Québec, QC G1V 0A6, Canada;
| | - Mounir Boukadoum
- Department Computer Science, Université du Québec à Montréal, Montréal, QC H2L 2C4, Canada;
| | - Amine Miled
- Department Electrical Engineering, Université Laval, Québec, QC G1V 0A6, Canada; (G.P.L.); (D.G.)
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Kaymaz SV, Nobar HM, Sarıgül H, Soylukan C, Akyüz L, Yüce M. Nanomaterial surface modification toolkit: Principles, components, recipes, and applications. Adv Colloid Interface Sci 2023; 322:103035. [PMID: 37931382 DOI: 10.1016/j.cis.2023.103035] [Citation(s) in RCA: 21] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2023] [Revised: 09/11/2023] [Accepted: 10/26/2023] [Indexed: 11/08/2023]
Abstract
Surface-functionalized nanostructures are at the forefront of biotechnology, providing new opportunities for biosensors, drug delivery, therapy, and bioimaging applications. The modification of nanostructures significantly impacts the performance and success of various applications by enabling selective and precise targeting. This review elucidates widely practiced surface modification strategies, including click chemistry, cross-coupling, silanization, aldehyde linkers, active ester chemistry, maleimide chemistry, epoxy linkers, and other protein and DNA-based methodologies. We also delve into the application-focused landscape of the nano-bio interface, emphasizing four key domains: therapeutics, biosensing, environmental monitoring, and point-of-care technologies, by highlighting prominent studies. The insights presented herein pave the way for further innovations at the intersection of nanotechnology and biotechnology, providing a useful handbook for beginners and professionals. The review draws on various sources, including the latest research articles (2018-2023), to provide a comprehensive overview of the field.
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Affiliation(s)
- Sümeyra Vural Kaymaz
- Faculty of Engineering and Natural Sciences, Sabanci University, Istanbul 34956, Turkey; SUNUM Nanotechnology Research and Application Centre, Sabanci University, Istanbul 34956, Turkey
| | | | - Hasan Sarıgül
- SUNUM Nanotechnology Research and Application Centre, Sabanci University, Istanbul 34956, Turkey
| | - Caner Soylukan
- SUNUM Nanotechnology Research and Application Centre, Sabanci University, Istanbul 34956, Turkey
| | - Lalehan Akyüz
- Department of Molecular Biology and Genetics, Aksaray University, 68100 Aksaray, Turkey
| | - Meral Yüce
- SUNUM Nanotechnology Research and Application Centre, Sabanci University, Istanbul 34956, Turkey.
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10
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Peng R, Zhang T, Yan S, Song Y, Liu X, Wang J. Recent Development and Applications of Stretchable SERS Substrates. NANOMATERIALS (BASEL, SWITZERLAND) 2023; 13:2968. [PMID: 37999322 PMCID: PMC10675327 DOI: 10.3390/nano13222968] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/12/2023] [Revised: 11/09/2023] [Accepted: 11/13/2023] [Indexed: 11/25/2023]
Abstract
Surface-enhanced Raman scattering (SERS) is a cutting-edge technique for highly sensitive analysis of chemicals and molecules. Traditional SERS-active nanostructures are constructed on rigid substrates where the nanogaps providing hot-spots of Raman signals are fixed, and sample loading is unsatisfactory due to the unconformable attachment of substrates on irregular sample surfaces. A flexible SERS substrate enables conformable sample loading and, thus, highly sensitive Raman detection but still with limited detection capabilities. Stretchable SERS substrates with flexible sample loading structures and controllable hot-spot size provide a new strategy for improving the sample loading efficiency and SERS detection sensitivity. This review summarizes and discusses recent development and applications of the newly conceptual stretchable SERS substrates. A roadmap of the development of SERS substrates is reviewed, and fabrication techniques of stretchable SERS substrates are summarized, followed by an exhibition of the applications of these stretchable SERS substrates. Finally, challenges and perspectives of the stretchable SERS substrates are presented. This review provides an overview of the development of SERS substrates and sheds light on the design, fabrication, and application of stretchable SERS systems.
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Affiliation(s)
- Ran Peng
- College of Marine Engineering, Dalian Maritime University, Dalian 116026, China
| | - Tingting Zhang
- College of Marine Engineering, Dalian Maritime University, Dalian 116026, China
| | - Sheng Yan
- Institute for Advanced Study, Shenzhen University, Shenzhen 518060, China
| | - Yongxin Song
- College of Marine Engineering, Dalian Maritime University, Dalian 116026, China
| | - Xinyu Liu
- Department of Mechanical and Industrial Engineering, University of Toronto, Toronto, ON M5S 3G8, Canada
| | - Junsheng Wang
- Department of Information Science and Technology, Dalian Maritime University, Dalian 116026, China
- Liaoning Key Laboratory of Marine Sensing and Intelligent Detection, Dalian Maritime University, Dalian 116026, China
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11
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Cho YW, Park JH, Kang MJ, Kim TH. Crater-like nanoelectrode arrays for electrochemical detection of dopamine release from neuronal cells. Biomed Mater 2023; 18:065015. [PMID: 37769679 DOI: 10.1088/1748-605x/acfe69] [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: 06/12/2023] [Accepted: 09/28/2023] [Indexed: 10/03/2023]
Abstract
Stem cell therapy has shown great potential in treating various incurable diseases using conventional chemotherapy. Parkinson's disease (PD)-a neurodegenerative disease-has been reported to be caused by quantitative loss or abnormal functionality of dopaminergic neurons (DAnergic neurons). To date, stem cell therapies have shown some potential in treating PD throughex vivoengraftment of stem-cell-derived neurons. However, accurately identifying the differentiation and non-invasively evaluating the functionality and maturity of DAnergic neurons are formidable challenges in stem cell therapies. These strategies are important in enhancing the efficacy of stem cell therapies. In this study, we report a novel cell cultivation platform, that is, a nanocrater-like electrochemical nanoelectrode array (NCENA) for monitoring dopamine (DA) release from neurons to detect exocytotic DA release from DAnergic neurons. In particular, the developed NCENA has a nanostructure in which three-dimensional porous gold nanopillars are uniformly arranged on conductive electrodes. The developed NCENA exhibited great DA sensing capabilities with a linear range of 0.39-150μM and a limit of detection of 1.16μM. Furthermore, the nanotopographical cues provided by the NCENA are suitable for cell cultivation with enhanced cellular adhesion. Finally, we successfully analysed the functionality and maturity of differentiated neurons on the NCENA through its excellent sensing ability for exocytotic DA.
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Affiliation(s)
- Yeon-Woo Cho
- School of Integrative Engineering, Chung-Ang University, 84 Heukseuk-ro, Dongjak-gu, Seoul 06974, Republic of Korea
| | - Joon-Ha Park
- School of Integrative Engineering, Chung-Ang University, 84 Heukseuk-ro, Dongjak-gu, Seoul 06974, Republic of Korea
| | - Min-Ji Kang
- School of Integrative Engineering, Chung-Ang University, 84 Heukseuk-ro, Dongjak-gu, Seoul 06974, Republic of Korea
| | - Tae-Hyung Kim
- School of Integrative Engineering, Chung-Ang University, 84 Heukseuk-ro, Dongjak-gu, Seoul 06974, Republic of Korea
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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: 0.5] [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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Park E, Kim W, Guo S, Jin S, Park Y, Park J, Yoo HS, Park JH, Jung YM. Highly selective and quantitative in situ monitoring of cell surface proteins by SERS immunoassay system. Biosens Bioelectron 2023; 234:115366. [PMID: 37148802 DOI: 10.1016/j.bios.2023.115366] [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: 12/07/2022] [Revised: 04/26/2023] [Accepted: 04/28/2023] [Indexed: 05/08/2023]
Abstract
Due to their pivotal roles in many biological functions, cell surface proteins (CSPs) are often used for cancer prognosis, as evidenced by a number of studies that have reported significant changes in the expression levels of specific surface proteins depending on the stage of tumorigenesis and selection/variety of reprogrammed cells during cell fate conversion. Current CSP detection strategies suffer from poor selectivity and lack the ability for in situ analysis but maintain the spatial information between cells. Here, we have fabricated nanoprobes for surface-enhanced Raman scattering (SERS) immunoassays by conjugating a specific antibody onto silica-coated gold nanoparticles incorporating an individual Raman reporter (Au-tag@SiO2-Ab NPs) for highly sensitive and selective in situ detection in different types of cells. When multiple HEK293 cell lines stably expressing different levels of the CSP, ACE2, were investigated by the SERS immunoassay, we demonstrated that the level of ACE2 expression in each cell line could be statistically distinguished from that in the other cell lines, indicating the quantitative feature of this biosensing system. When detecting living cells without cell lysis or fixation, as well as fixed cells, the levels of the epithelial CSPs, EpCAM (epithelial cell adhesion molecule) and E-cadherin, were successfully determined using our Au-tag@SiO2-Ab NPs and SERS immunoassay system in a highly selective and quantitative manner without significant cytotoxicity. Hence, our work provides technical insight into the development of a biosensing platform for a variety of biomedical applications, such as cancer metastasis prognosis and the in situ monitoring of stem cell reprogramming and differentiation.
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Affiliation(s)
- Eungyeong Park
- Department of Chemistry, Institute for Molecular Science and Fusion Technology, Kangwon National University, Chuncheon-si, Gangwon-do, 24341, Republic of Korea
| | - Wijin Kim
- Department of Biomedical Science, Kangwon National University, Chuncheon-si, Gangwon-do, 24341, Republic of Korea
| | - Shuang Guo
- Department of Chemistry, Institute for Molecular Science and Fusion Technology, Kangwon National University, Chuncheon-si, Gangwon-do, 24341, Republic of Korea
| | - Sila Jin
- Kangwon Radiation Convergence Research Support Center, Kangwon National University, Chuncheon-si, Gangwon-do, 24341, Republic of Korea
| | - Yeonju Park
- Kangwon Radiation Convergence Research Support Center, Kangwon National University, Chuncheon-si, Gangwon-do, 24341, Republic of Korea
| | - Jongmin Park
- Department of Chemistry, Institute for Molecular Science and Fusion Technology, Kangwon National University, Chuncheon-si, Gangwon-do, 24341, Republic of Korea
| | - Hyuk Sang Yoo
- Department of Biomedical Science, Kangwon National University, Chuncheon-si, Gangwon-do, 24341, Republic of Korea; Kangwon Radiation Convergence Research Support Center, Kangwon National University, Chuncheon-si, Gangwon-do, 24341, Republic of Korea
| | - Ju Hyun Park
- Department of Biomedical Science, Kangwon National University, Chuncheon-si, Gangwon-do, 24341, Republic of Korea.
| | - Young Mee Jung
- Department of Chemistry, Institute for Molecular Science and Fusion Technology, Kangwon National University, Chuncheon-si, Gangwon-do, 24341, Republic of Korea; Kangwon Radiation Convergence Research Support Center, Kangwon National University, Chuncheon-si, Gangwon-do, 24341, Republic of Korea.
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14
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Chen WH, Wang W, Lin Q, Grys DB, Niihori M, Huang J, Hu S, de Nijs B, Scherman OA, Baumberg JJ. Plasmonic Sensing Assay for Long-Term Monitoring (PSALM) of Neurotransmitters in Urine. ACS NANOSCIENCE AU 2023; 3:161-171. [PMID: 37096231 PMCID: PMC10119978 DOI: 10.1021/acsnanoscienceau.2c00048] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/12/2022] [Revised: 11/25/2022] [Accepted: 11/28/2022] [Indexed: 04/26/2023]
Abstract
A liquid-based surface-enhanced Raman spectroscopy assay termed PSALM is developed for the selective sensing of neurotransmitters (NTs) with a limit of detection below the physiological range of NT concentrations in urine. This assay is formed by quick and simple nanoparticle (NP) "mix-and-measure" protocols, in which FeIII bridges NTs and gold NPs inside the sensing hotspots. Detection limits of NTs from PreNP PSALM are significantly lower than those of PostNP PSALM, when urine is pretreated by affinity separation. Optimized PSALM enables the long-term monitoring of NT variation in urine in conventional settings for the first time, allowing the development of NTs as predictive or correlative biomarkers for clinical diagnosis.
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Affiliation(s)
- Wei-Hsin Chen
- NanoPhotonics
Centre, Cavendish Laboratory, University
of Cambridge, J J Thomson Avenue, Cambridge CB3 0HE, U.K.
| | - Wenting Wang
- NanoPhotonics
Centre, Cavendish Laboratory, University
of Cambridge, J J Thomson Avenue, Cambridge CB3 0HE, U.K.
- Melville
Laboratory for Polymer Synthesis, Department of Chemistry, University of Cambridge, Lensfield Road, Cambridge CB2 1EW, U.K.
| | - Qianqi Lin
- NanoPhotonics
Centre, Cavendish Laboratory, University
of Cambridge, J J Thomson Avenue, Cambridge CB3 0HE, U.K.
| | - David-Benjamin Grys
- NanoPhotonics
Centre, Cavendish Laboratory, University
of Cambridge, J J Thomson Avenue, Cambridge CB3 0HE, U.K.
| | - Marika Niihori
- NanoPhotonics
Centre, Cavendish Laboratory, University
of Cambridge, J J Thomson Avenue, Cambridge CB3 0HE, U.K.
| | - Junyang Huang
- NanoPhotonics
Centre, Cavendish Laboratory, University
of Cambridge, J J Thomson Avenue, Cambridge CB3 0HE, U.K.
| | - Shu Hu
- NanoPhotonics
Centre, Cavendish Laboratory, University
of Cambridge, J J Thomson Avenue, Cambridge CB3 0HE, U.K.
| | - Bart de Nijs
- NanoPhotonics
Centre, Cavendish Laboratory, University
of Cambridge, J J Thomson Avenue, Cambridge CB3 0HE, U.K.
| | - Oren A. Scherman
- Melville
Laboratory for Polymer Synthesis, Department of Chemistry, University of Cambridge, Lensfield Road, Cambridge CB2 1EW, U.K.
| | - Jeremy J. Baumberg
- NanoPhotonics
Centre, Cavendish Laboratory, University
of Cambridge, J J Thomson Avenue, Cambridge CB3 0HE, U.K.
- JJB,
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15
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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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16
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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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17
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Chen Y, An Q, Teng K, Liu C, Sun F, Li G. Application of SERS in In-Vitro Biomedical Detection. Chem Asian J 2023; 18:e202201194. [PMID: 36581747 DOI: 10.1002/asia.202201194] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2022] [Revised: 12/24/2022] [Accepted: 12/29/2022] [Indexed: 12/31/2022]
Abstract
Surface-enhanced Raman scattering (SERS), as a rapid and nondestructive biological detection method, holds great promise for clinical on spot and early diagnosis. In order to address the challenging demands of on spot detection of biomedical samples, a variety of strategies has been developed. These strategies include substrate structural and component engineering, data processing techniques, as well as combination with other analytical methods. This report summarizes the recent SERS developments for biomedical detection, and their promising applications in cancer detection, virus or bacterial infection detection, miscarriage spotting, neurological disease screening et al. The first part discusses the frequently used SERS substrate component and structures, the second part reports on the detection strategies for nucleic acids, proteins, bacteria, and virus, the third part summarizes their promising applications in clinical detection in a variety of illnesses, and the forth part reports on recent development of SERS in combination with other analytical techniques. The special merits, challenges, and perspectives are discussed in both introduction and conclusion sections.
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Affiliation(s)
- Yunfan Chen
- School of Materials Science and Technology, China University of Geosciences, Beijing, 100083, P. R. China.,Engineering Research Center of Ministry of Education for, Geological Carbon Storage and Low Carbon Utilization of Resources, Beijing Key Laboratory of Materials Utilization of, Nonmetallic Minerals and Solid Wastes, National Laboratory of Mineral Materials, School of Material Sciences and Technology, China University of Geosciences, Beijing, 100083, P. R. China
| | - Qi An
- School of Materials Science and Technology, China University of Geosciences, Beijing, 100083, P. R. China.,Engineering Research Center of Ministry of Education for, Geological Carbon Storage and Low Carbon Utilization of Resources, Beijing Key Laboratory of Materials Utilization of, Nonmetallic Minerals and Solid Wastes, National Laboratory of Mineral Materials, School of Material Sciences and Technology, China University of Geosciences, Beijing, 100083, P. R. China
| | - Kaixuan Teng
- School of Materials Science and Technology, China University of Geosciences, Beijing, 100083, P. R. China.,Engineering Research Center of Ministry of Education for, Geological Carbon Storage and Low Carbon Utilization of Resources, Beijing Key Laboratory of Materials Utilization of, Nonmetallic Minerals and Solid Wastes, National Laboratory of Mineral Materials, School of Material Sciences and Technology, China University of Geosciences, Beijing, 100083, P. R. China
| | - Chao Liu
- School of Materials Science and Technology, China University of Geosciences, Beijing, 100083, P. R. China.,Department of Chemistry, China, Tsinghua University, Beijing, 100084, P. R. China.,Engineering Research Center of Ministry of Education for, Geological Carbon Storage and Low Carbon Utilization of Resources, Beijing Key Laboratory of Materials Utilization of, Nonmetallic Minerals and Solid Wastes, National Laboratory of Mineral Materials, School of Material Sciences and Technology, China University of Geosciences, Beijing, 100083, P. R. China
| | - Fuwei Sun
- Fujian Provincial Key Laboratory of, Terahertz Functional Devices and Intelligent Sensing, School of Mechanical Engineering and Automation, Fuzhou University, Fuzhou, 350108, P. R. China
| | - Guangtao Li
- Department of Chemistry, China, Tsinghua University, Beijing, 100084, P. R. China
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18
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Jebakumari KAE, Murugasenapathi NK, Palanisamy T. Engineered Two-Dimensional Nanostructures as SERS Substrates for Biomolecule Sensing: A Review. BIOSENSORS 2023; 13:102. [PMID: 36671937 PMCID: PMC9855472 DOI: 10.3390/bios13010102] [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: 11/28/2022] [Revised: 12/30/2022] [Accepted: 01/03/2023] [Indexed: 06/17/2023]
Abstract
Two-dimensional nanostructures (2DNS) attract tremendous interest and have emerged as potential materials for a variety of applications, including biomolecule sensing, due to their high surface-to-volume ratio, tuneable optical and electronic properties. Advancements in the engineering of 2DNS and associated technologies have opened up new opportunities. Surface-enhanced Raman scattering (SERS) is a rapid, highly sensitive, non-destructive analytical technique with exceptional signal amplification potential. Several structurally and chemically engineered 2DNS with added advantages (e.g., π-π* interaction), over plasmonic SERS substrates, have been developed specifically towards biomolecule sensing in a complex matrix, such as biological fluids. This review focuses on the recent developments of 2DNS-SERS substrates for biomolecule sensor applications. The recent advancements in engineered 2DNS, particularly for SERS substrates, have been systematically surveyed. In SERS substrates, 2DNS are used as either a standalone signal enhancer or as support for the dispersion of plasmonic nanostructures. The current challenges and future opportunities in this synergetic combination have also been discussed. Given the prospects in the design and preparation of newer 2DNS, this review can give a critical view on the current status, challenges and opportunities to extrapolate their applications in biomolecule detection.
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Affiliation(s)
- K. A. Esther Jebakumari
- Electrodics and Electrocatalysis Division (EEC), CSIR—Central Electrochemical Research Institute (CECRI), Karaikudi 630003, Tamil Nadu, India
- Academy of Scientific and Innovative Research (AcSIR), Ghaziabad 201002, Uttar Pradesh, India
| | - N. K. Murugasenapathi
- Electrodics and Electrocatalysis Division (EEC), CSIR—Central Electrochemical Research Institute (CECRI), Karaikudi 630003, Tamil Nadu, India
- Academy of Scientific and Innovative Research (AcSIR), Ghaziabad 201002, Uttar Pradesh, India
| | - Tamilarasan Palanisamy
- Electrodics and Electrocatalysis Division (EEC), CSIR—Central Electrochemical Research Institute (CECRI), Karaikudi 630003, Tamil Nadu, India
- Academy of Scientific and Innovative Research (AcSIR), Ghaziabad 201002, Uttar Pradesh, India
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19
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Detection and modulation of neurodegenerative processes using graphene-based nanomaterials: Nanoarchitectonics and applications. Adv Colloid Interface Sci 2023; 311:102824. [PMID: 36549182 DOI: 10.1016/j.cis.2022.102824] [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: 10/03/2022] [Revised: 12/02/2022] [Accepted: 12/08/2022] [Indexed: 12/14/2022]
Abstract
Neurodegenerative disorders (NDDs) are caused by progressive loss of functional neurons following the aggregation and fibrillation of proteins in the central nervous system. The incidence rate continues to rise alarmingly worldwide, particularly in aged population, and the success of treatment remains limited to symptomatic relief. Graphene nanomaterials (GNs) have attracted immense interest on the account of their unique physicochemical and optoelectronic properties. The research over the past two decades has recognized their ability to interact with aggregation-prone neuronal proteins, regulate autophagy and modulate the electrophysiology of neuronal cells. Graphene can prevent the formation of higher order protein aggregates and facilitate the clearance of such deposits. In this review, after highlighting the role of protein fibrillation in neurodegeneration, we have discussed how GN-protein interactions can be exploited for preventing neurodegeneration. A comprehensive understanding of such interactions would contribute to the exploration of novel modalities for controlling neurodegenerative processes.
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20
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Ranasinghe JC, Wang Z, Huang S. Raman Spectroscopy on Brain Disorders: Transition from Fundamental Research to Clinical Applications. BIOSENSORS 2022; 13:27. [PMID: 36671862 PMCID: PMC9855372 DOI: 10.3390/bios13010027] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/18/2022] [Revised: 12/13/2022] [Accepted: 12/23/2022] [Indexed: 06/17/2023]
Abstract
Brain disorders such as brain tumors and neurodegenerative diseases (NDs) are accompanied by chemical alterations in the tissues. Early diagnosis of these diseases will provide key benefits for patients and opportunities for preventive treatments. To detect these sophisticated diseases, various imaging modalities have been developed such as computed tomography (CT), magnetic resonance imaging (MRI), and positron emission tomography (PET). However, they provide inadequate molecule-specific information. In comparison, Raman spectroscopy (RS) is an analytical tool that provides rich information about molecular fingerprints. It is also inexpensive and rapid compared to CT, MRI, and PET. While intrinsic RS suffers from low yield, in recent years, through the adoption of Raman enhancement technologies and advanced data analysis approaches, RS has undergone significant advancements in its ability to probe biological tissues, including the brain. This review discusses recent clinical and biomedical applications of RS and related techniques applicable to brain tumors and NDs.
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Affiliation(s)
| | | | - Shengxi Huang
- Department of Electrical and Computer Engineering, Rice University, Houston, TX 77005, USA
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21
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Chen J, Zhou Z, Luo S, Liu G, Xiang J, Tian Z. Progress of advanced nanomaterials in diagnosis of neurodegenerative diseases. Biosens Bioelectron 2022; 217:114717. [PMID: 36179434 DOI: 10.1016/j.bios.2022.114717] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2022] [Revised: 08/25/2022] [Accepted: 09/10/2022] [Indexed: 12/22/2022]
Abstract
Neurodegenerative diseases (NDDs) encompass a wide range of clinically and pathologically diverse diseases characterized by progressive long-term cognitive decline, memory and function loss in daily life. Due to the lack of effective drugs and therapeutic strategies for preventing or delaying neurodegenerative progression, it is urgent to diagnose NDDs as early and accurately as possible. Nanomaterials, emerged as one of the most promising materials in the 21st century, have been widely applied and play a significant role in diagnosis and treatment of NDDs because of their remarkable properties including stability, prominent biocompatibility, unique structure, novel physical and chemical characteristics. In this review, we outlined general strategies for the application of different types of advanced materials in early and staged diagnosis of NDDs in vivo and in vitro. According to applied technology, in vivo research mainly involves magnetic resonance, fluorescence, and surface enhanced Raman imaging on structures of brain tissues, cerebral vessels and related distributions of biomarkers. In vitro research is focused on the detection of fluid biomarkers in cerebrospinal fluid and peripheral blood based on fluorescence, electrochemical, Raman and surface plasmon resonance techniques. Finally, we discussed the current challenges and future perspectives of biomarker-based NDDs diagnosis as well as potential applications regarding advanced nanomaterials.
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Affiliation(s)
- Jia Chen
- Hunan Provincial Key Laboratory of Micro & Nano Materials Interface Science, College of Chemistry and Chemical Engineering, Central South University, Changsha, 410083, PR China
| | - Zhifang Zhou
- State Key Laboratory of Marine Environmental Science, Fujian Provincial Key Laboratory for Coastal Ecology and Environmental Studies, Center for Marine Environmental Chemistry & Toxicology, College of the Environment and Ecology, Xiamen University, Xiamen, 361102, China
| | - Siheng Luo
- State Key Laboratory of Marine Environmental Science, Fujian Provincial Key Laboratory for Coastal Ecology and Environmental Studies, Center for Marine Environmental Chemistry & Toxicology, College of the Environment and Ecology, Xiamen University, Xiamen, 361102, China
| | - Guokun Liu
- State Key Laboratory of Marine Environmental Science, Fujian Provincial Key Laboratory for Coastal Ecology and Environmental Studies, Center for Marine Environmental Chemistry & Toxicology, College of the Environment and Ecology, Xiamen University, Xiamen, 361102, China
| | - Juan Xiang
- Hunan Provincial Key Laboratory of Micro & Nano Materials Interface Science, College of Chemistry and Chemical Engineering, Central South University, Changsha, 410083, PR China; National Engineering Research Center of Personalized Diagnostic and Therapeutic Technology, Central South University, Changsha, 410083, PR China.
| | - Zhongqun Tian
- State Key Laboratory for Physical Chemistry of Solid Surfaces, College of Chemistry and Chemical Engineering, Xiamen University, Xiamen, Fujian, 361005, China.
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22
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Kim W, Park E, Yoo HS, Park J, Jung YM, Park JH. Recent Advances in Monitoring Stem Cell Status and Differentiation Using Nano-Biosensing Technologies. NANOMATERIALS (BASEL, SWITZERLAND) 2022; 12:2934. [PMID: 36079970 PMCID: PMC9457759 DOI: 10.3390/nano12172934] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/29/2022] [Revised: 08/22/2022] [Accepted: 08/23/2022] [Indexed: 05/14/2023]
Abstract
In regenerative medicine, cell therapies using various stem cells have received attention as an alternative to overcome the limitations of existing therapeutic methods. Clinical applications of stem cells require the identification of characteristics at the single-cell level and continuous monitoring during expansion and differentiation. In this review, we recapitulate the application of various stem cells used in regenerative medicine and the latest technological advances in monitoring the differentiation process of stem cells. Single-cell RNA sequencing capable of profiling the expression of many genes at the single-cell level provides a new opportunity to analyze stem cell heterogeneity and to specify molecular markers related to the branching of differentiation lineages. However, this method is destructive and distorted. In addition, the differentiation process of a particular cell cannot be continuously tracked. Therefore, several spectroscopic methods have been developed to overcome these limitations. In particular, the application of Raman spectroscopy to measure the intrinsic vibration spectrum of molecules has been proposed as a powerful method that enables continuous monitoring of biochemical changes in the process of the differentiation of stem cells. This review provides a comprehensive overview of current analytical methods employed for stem cell engineering and future perspectives of nano-biosensing technologies as a platform for the in situ monitoring of stem cell status and differentiation.
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Affiliation(s)
- Wijin Kim
- Department of Biomedical Science, Kangwon National University, Chuncheon 24341, Gangwon-do, Korea
| | - Eungyeong Park
- Department of Chemistry, Kangwon National University, Chuncheon 24341, Gangwon-do, Korea
| | - Hyuk Sang Yoo
- Department of Biomedical Science, Kangwon National University, Chuncheon 24341, Gangwon-do, Korea
- Kangwon Radiation Convergence Research Support Center, Kangwon National University, Chuncheon 24341, Gangwon-do, Korea
| | - Jongmin Park
- Department of Chemistry, Kangwon National University, Chuncheon 24341, Gangwon-do, Korea
| | - Young Mee Jung
- Department of Chemistry, Kangwon National University, Chuncheon 24341, Gangwon-do, Korea
- Kangwon Radiation Convergence Research Support Center, Kangwon National University, Chuncheon 24341, Gangwon-do, Korea
| | - Ju Hyun Park
- Department of Biomedical Science, Kangwon National University, Chuncheon 24341, Gangwon-do, Korea
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23
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Jiang G, Li Y, Liu J, Liu L, Pi F. Progress on aptamer-based SERS sensors for food safety and quality assessment: methodology, current applications and future trends. Crit Rev Food Sci Nutr 2022; 64:783-800. [PMID: 35943403 DOI: 10.1080/10408398.2022.2108370] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
Abstract
It is well known that food safety has aroused extensive attentions from governments to researchers and to food industries. As a versatile technology based on molecular interactions, aptamer sensors which could specifically identify a wide range of food contaminants have been extensively studied in recent years. Surface-enhanced Raman spectroscopy integrated aptamer combines the advantages of both technologies, not only in the ability to specifically identify a wide range of food contaminants, but also in the ultra-high sensitivity, simplicity, portable and speed. To provide beneficial insights into the evaluation techniques in the field of food safety, we offer a comprehensive review on the design strategies for aptamer-SERS sensors in different scenarios, including non-nucleic acid amplification methods ("on/off" mode, sandwich mode, competition model and catalytic model) and nucleic acid amplification methods (hybridization chain reaction, rolling circle amplification, catalytic hairpin assembly). Meanwhile, a special attention is paid to the application of aptamer-SERS sensors in biological (foodborne pathogenic, bacteria and mycotoxins) and chemical contamination (drug residues, metal ions, and food additives) of food matrix. Finally, the challenges and prospects of developing reliable aptamer-SERS sensors for food safety were discussed, which are expected to offer a strong guidance for further development and extended applications.
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Affiliation(s)
- Guoyong Jiang
- State Key Laboratory of Food Science and Technology, School of Food Science and Technology, Jiangnan University, Wuxi, Jiangsu, People's Republic of China
- Collaborative Innovation Center of Food Safety and Quality Control in Jiangsu Province, Jiangnan University, Wuxi, Jiangsu, People's Republic of China
| | - Yu Li
- State Key Laboratory of Food Science and Technology, School of Food Science and Technology, Jiangnan University, Wuxi, Jiangsu, People's Republic of China
- Collaborative Innovation Center of Food Safety and Quality Control in Jiangsu Province, Jiangnan University, Wuxi, Jiangsu, People's Republic of China
| | - Jinghan Liu
- State Key Laboratory of Food Science and Technology, School of Food Science and Technology, Jiangnan University, Wuxi, Jiangsu, People's Republic of China
- Collaborative Innovation Center of Food Safety and Quality Control in Jiangsu Province, Jiangnan University, Wuxi, Jiangsu, People's Republic of China
| | - Ling Liu
- Wuxi Institute of Technology, Wuxi, Jiangsu, People's Republic of China
| | - Fuwei Pi
- State Key Laboratory of Food Science and Technology, School of Food Science and Technology, Jiangnan University, Wuxi, Jiangsu, People's Republic of China
- Collaborative Innovation Center of Food Safety and Quality Control in Jiangsu Province, Jiangnan University, Wuxi, Jiangsu, People's Republic of China
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24
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Wang BX, Duan G, Xu W, Xu C, Jiang J, Yang Z, Wu Y, Pi F. Flexible surface-enhanced Raman scatting substrates: recent advances in their principles, design strategies, diversified material selections and applications. Crit Rev Food Sci Nutr 2022; 64:472-516. [PMID: 35930338 DOI: 10.1080/10408398.2022.2106547] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
Abstract
Surface-enhanced Raman scattering (SERS) is widely used as a powerful analytical technology in cutting-edge areas such as food safety, biology, chemistry, and medical diagnosis, providing ultra-fast, ultra-sensitive, nondestructive characterization and achieving ultra-high detection sensitivity even down to the single-molecule level. Development of Raman spectroscopy is strongly dependent on high-performance SERS substrates, which have long evolved from the early days of rough metal electrodes to periodic nanopatterned arrays building on solid supporting substrates. For rigid SERS substrates, however, their applications are restricted by sophisticated pretreatments for detecting solid samples with non-planar surfaces. It is therefore essential to reassert the principles in constructing flexible SERS substrates. Herein, we comprehensively review the state-of-the-art in understanding, preparing and using flexible SERS. The basic mechanisms behind the flexible SERS are briefly outlined, typical design strategies are highlighted and diversified selection of materials in preparing flexible SERS substrates are reviewed. Then the recent achievements of various interdisciplinary applications based on flexible SERS substrates are summarized. Finally, the challenges and perspectives for future evolution of flexible SERS and their applications are demonstrated. We propose new research directions focused on stimulating the real potential of SERS as an advanced analytical technique for commercialization.
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Affiliation(s)
- Ben-Xin Wang
- School of Science, Jiangnan University, Wuxi, China
| | - Guiyuan Duan
- School of Science, Jiangnan University, Wuxi, China
| | - Wei Xu
- School of Science, Jiangnan University, Wuxi, China
| | - Chongyang Xu
- School of Science, Jiangnan University, Wuxi, China
| | | | | | - Yangkuan Wu
- School of Science, Jiangnan University, Wuxi, China
| | - Fuwei Pi
- State Key Laboratory of Food Science and Technology, School of Food Science and Technology, Jiangnan University, Wuxi, China
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25
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Zhou G, Li P, Ge M, Wang J, Chen S, Nie Y, Wang Y, Qin M, Huang G, Lin D, Wang H, Yang L. Controlling the Shrinkage of 3D Hot Spot Droplets as a Microreactor for Quantitative SERS Detection of Anticancer Drugs in Serum Using a Handheld Raman Spectrometer. Anal Chem 2022; 94:4831-4840. [PMID: 35254058 DOI: 10.1021/acs.analchem.2c00071] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
Quantitative measurement is one of the ultimate targets for surface-enhanced Raman spectroscopy (SERS), but it suffers from difficulties in controlling the uniformity of hot spots and placing the target molecules in the hot spot space. Here, a convenient approach of three-phase equilibrium controlling the shrinkage of three-dimensional (3D) hot spot droplets has been demonstrated for the quantitative detection of the anticancer drug 5-fluorouracil (5-FU) in serum using a handheld Raman spectrometer. Droplet shrinkage, triggered by the shaking of aqueous nanoparticle (NP) colloids with immiscible oil chloroform (CHCl3) after the addition of negative ions and acetone, not only brings the nanoparticles in close proximity but can also act as a microreactor to enhance the spatial enrichment capability of the analyte in plasmonic sites and thereby realize simultaneously controlling 3D hot spots and placing target molecules in hot spots. Moreover, the shrinking process of Ag colloid droplets has been investigated using a high-speed camera, an in situ transmission electron microscope (in situ TEM), and a dark-field microscope (DFM), demonstrating the high stability and uniformity of nanoparticles in droplets. The shrunk Ag NP droplets exhibit excellent SERS sensitivity and reproducibility for the quantitative analysis of 5-FU over a large range of 50-1000 ppb. Hence, it is promising for quantitative analysis of complex systems and long-term monitoring of bioreactions.
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Affiliation(s)
- Guoliang Zhou
- Institute of Health and Medical Technology, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei 230031, China.,University of Science & Technology of China, Anhui, Hefei 230026, China
| | - Pan Li
- Institute of Health and Medical Technology, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei 230031, China.,Hefei Cancer Hospital, Chinese Academy of Sciences, Hefei 230031, China
| | - Meihong Ge
- Institute of Health and Medical Technology, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei 230031, China.,University of Science & Technology of China, Anhui, Hefei 230026, China
| | - Junping Wang
- Hefei Cancer Hospital, Chinese Academy of Sciences, Hefei 230031, China
| | - Siyu Chen
- Institute of Health and Medical Technology, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei 230031, China.,University of Science & Technology of China, Anhui, Hefei 230026, China
| | - Yuman Nie
- Institute of Intelligent Machines, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei 230031, China
| | - Yaoxiong Wang
- Institute of Intelligent Machines, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei 230031, China
| | - Miao Qin
- Institute of Health and Medical Technology, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei 230031, China.,University of Science & Technology of China, Anhui, Hefei 230026, China
| | - Guangyao Huang
- Institute of Health and Medical Technology, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei 230031, China.,University of Science & Technology of China, Anhui, Hefei 230026, China
| | - Dongyue Lin
- Institute of Health and Medical Technology, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei 230031, China
| | - Hongzhi Wang
- Hefei Cancer Hospital, Chinese Academy of Sciences, Hefei 230031, China
| | - Liangbao Yang
- Institute of Health and Medical Technology, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei 230031, China.,Hefei Cancer Hospital, Chinese Academy of Sciences, Hefei 230031, China
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26
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El-Said WA, Al-Bogami AS, Alshitari W. Synthesis of gold nanoparticles@reduced porous graphene-modified ITO electrode for spectroelectrochemical detection of SARS-CoV-2 spike protein. SPECTROCHIMICA ACTA. PART A, MOLECULAR AND BIOMOLECULAR SPECTROSCOPY 2022; 264:120237. [PMID: 34352502 PMCID: PMC8327772 DOI: 10.1016/j.saa.2021.120237] [Citation(s) in RCA: 29] [Impact Index Per Article: 9.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/04/2021] [Revised: 07/01/2021] [Accepted: 07/26/2021] [Indexed: 05/05/2023]
Abstract
Here, we reported the synthesis of reduced porous graphene oxide (rPGO) decorated with gold nanoparticles (Au NPs) to modify the ITO electrode. Then we used this highly uniform Au NPs@rPGO modified ITO electrode as a surface-enhanced Raman spectroscopy-active surface and a working electrode. The uses of the Au nanoparticles and porous graphene enhance the Raman signals and the electrochemical conductivity. COVID-19 protein-based biosensor was developed based on immobilization of anti-COVID-19 antibodies onto the modified electrode and its uses as a probe for capturing the COVID-19 protein. The developed biosensor showed the capability of monitoring the COVID-19 protein within a concentration range from 100 nmol/L to 1 pmol/L with a limit of detection (LOD) of 75 fmol/L. Furthermore, COVID-19 protein was detected based on electrochemical techniques within a concentration range from 100 nmol/L to 500 fmol/L that showed a LOD of 39.5 fmol/L. Finally, three concentrations of COVID-19 protein spiked in human serum were investigated. Thus, the present sensor showed high efficiency towards the detection of COVID-19.
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Affiliation(s)
- Waleed A El-Said
- Department of Chemistry, College of Science, University of Jeddah, P.O. Box 80327, Jeddah 21589, Saudi Arabia.
| | - Abdullah S Al-Bogami
- Department of Chemistry, College of Science, University of Jeddah, P.O. Box 80327, Jeddah 21589, Saudi Arabia
| | - Wael Alshitari
- Department of Chemistry, College of Science, University of Jeddah, P.O. Box 80327, Jeddah 21589, Saudi Arabia
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27
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Aptamer-modified biosensors to visualize neurotransmitter flux. J Neurosci Methods 2022; 365:109386. [PMID: 34653500 DOI: 10.1016/j.jneumeth.2021.109386] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2021] [Revised: 09/23/2021] [Accepted: 10/07/2021] [Indexed: 12/14/2022]
Abstract
Chemical biosensors with the capacity to continuously monitor various neurotransmitter dynamics can be powerful tools to understand complex signaling pathways in the brain. However, in vivo detection of neurochemicals is challenging for many reasons such as the rapid release and clearance of neurotransmitters in the extracellular space, or the low target analyte concentrations in a sea of interfering biomolecules. Biosensing platforms with adequate spatiotemporal resolution coupled to specific and selective receptors termed aptamers, demonstrate high potential to tackle such challenges. Herein, we review existing literature in this field. We first discuss nanoparticle-based systems, which have a simple in vitro implementation and easily interpretable results. We then examine methods employing near-infrared detection for deeper tissue imaging, hence easier translation to in vivo implementation. We conclude by reviewing live cell imaging of neurotransmitter release via aptamer-modified platforms. For each of these sensors, we discuss the associated challenges for translation to real-time in vivo neurochemical imaging. Realization of in vivo biosensors for neurotransmitters will drive future development of early prevention strategies, treatments, and therapeutics for psychiatric and neurodegenerative diseases.
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28
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Tomita S, Ishihara S, Kurita R. A polymer-based chemical tongue for the non-invasive monitoring of osteogenic stem-cell differentiation by pattern recognition of serum-supplemented spent media. J Mater Chem B 2022; 10:7581-7590. [DOI: 10.1039/d2tb00606e] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Abstract
The development of non-invasive techniques to characterize cultured cells is invaluable not only to ensure the reproducibility of cell research, but also for quality assurance of industrial cell products for...
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29
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Graphene-Based Materials for Efficient Neurogenesis. ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY 2022; 1351:43-64. [DOI: 10.1007/978-981-16-4923-3_3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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30
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Lin S, Cheng Z, Li Q, Wang R, Yu F. Toward Sensitive and Reliable Surface-Enhanced Raman Scattering Imaging: From Rational Design to Biomedical Applications. ACS Sens 2021; 6:3912-3932. [PMID: 34726891 DOI: 10.1021/acssensors.1c01858] [Citation(s) in RCA: 30] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Early specific detection through indicative biomarkers and precise visualization of lesion sites are urgent requirements for clinical disease diagnosis. However, current detection and optical imaging methods are insufficient for these demands. Molecular imaging technologies are being intensely studied for reliable medical diagnosis. In the past several decades, molecular imaging with surface-enhanced Raman scattering (SERS) has significant advances from analytical chemistry to medical science. SERS is the inelastic scattering generated from the interaction between photons and substances, presenting molecular structure information. The outstanding SERS virtues of high sensitivity, high specificity, and resistance to biointerference are highly advantageous for biomarker detection in a complex biological matrix. In this work, we review recent progress on the applications of SERS imaging in clinical diagnostics. With the assistance of SERS imaging, the detection of disease-related proteins, nucleic acids, small molecules, and pH of the cellular microenvironment can be implemented for adjuvant medical diagnosis. Moreover, multimodal imaging integrates the high penetration and high speed of other imaging modalities and imaging precision of SERS imaging, resulting in final complete and accurate imaging outcomes and exhibiting robust potential in the discrimination of pathological tissues and surgical navigation. As a promising molecular imaging technology, SERS imaging has achieved remarkable performance in clinical diagnostics and the biomedical realm. It is expected that this review will provide insights for further development of SERS imaging and promote the rapid progress and successful translation of advanced molecular imaging with clinical diagnostics.
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Affiliation(s)
- Shanshan Lin
- Key Laboratory of Hainan Trauma and Disaster Rescue, Laboratory of Neurology, The First Affiliated Hospital of Hainan Medical University, Hainan Medical University, Haikou 571199, China
- Key Laboratory of Emergency and Trauma, Ministry of Education, Key Laboratory of Hainan Functional Materials and Molecular Imaging, College of Pharmacy, College of Emergency and Trauma, Hainan Medical University, Haikou 571199, China
| | - Ziyi Cheng
- Key Laboratory of Hainan Trauma and Disaster Rescue, Laboratory of Neurology, The First Affiliated Hospital of Hainan Medical University, Hainan Medical University, Haikou 571199, China
- Key Laboratory of Emergency and Trauma, Ministry of Education, Key Laboratory of Hainan Functional Materials and Molecular Imaging, College of Pharmacy, College of Emergency and Trauma, Hainan Medical University, Haikou 571199, China
| | - Qifu Li
- Key Laboratory of Hainan Trauma and Disaster Rescue, Laboratory of Neurology, The First Affiliated Hospital of Hainan Medical University, Hainan Medical University, Haikou 571199, China
| | - Rui Wang
- Key Laboratory of Hainan Trauma and Disaster Rescue, Laboratory of Neurology, The First Affiliated Hospital of Hainan Medical University, Hainan Medical University, Haikou 571199, China
- Key Laboratory of Emergency and Trauma, Ministry of Education, Key Laboratory of Hainan Functional Materials and Molecular Imaging, College of Pharmacy, College of Emergency and Trauma, Hainan Medical University, Haikou 571199, China
| | - Fabiao Yu
- Key Laboratory of Hainan Trauma and Disaster Rescue, Laboratory of Neurology, The First Affiliated Hospital of Hainan Medical University, Hainan Medical University, Haikou 571199, China
- Key Laboratory of Emergency and Trauma, Ministry of Education, Key Laboratory of Hainan Functional Materials and Molecular Imaging, College of Pharmacy, College of Emergency and Trauma, Hainan Medical University, Haikou 571199, China
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Choi JH, Shin M, Yang L, Conley B, Yoon J, Lee SN, Lee KB, Choi JW. Clustered Regularly Interspaced Short Palindromic Repeats-Mediated Amplification-Free Detection of Viral DNAs Using Surface-Enhanced Raman Spectroscopy-Active Nanoarray. ACS NANO 2021; 15:13475-13485. [PMID: 34369760 DOI: 10.1021/acsnano.1c03975] [Citation(s) in RCA: 63] [Impact Index Per Article: 15.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/27/2023]
Abstract
Nucleic acid biomarkers have been widely used to detect various viral-associated diseases, including the recent pandemic COVID-19. The CRISPR-Cas-based trans-activating phenomenon has shown excellent potential for developing sensitive and selective detection of nucleic acids. However, the nucleic acid amplification steps are typically required when sensitive and selective monitoring of the target nucleic acid is needed. To overcome the aforementioned challenges, we developed a CRISPR-Cas12a-based nucleic acid amplification-free biosensor by a surface-enhanced Raman spectroscopy (SERS)-assisted ultrasensitive detection system. We integrated the activated CRISPR-Cas12a by viral DNA with a Raman-sensitive system composed of ssDNA-immobilized Raman probe-functionalized Au nanoparticles (RAuNPs) on the graphene oxide (GO)/triangle Au nanoflower array. Using this CRISPR-based Raman-sensitive system improved the detection sensitivity of the multiviral DNAs such as hepatitis B virus (HBV), human papillomavirus 16 (HPV-16), and HPV-18 with an extremely low detection limit and vast detection range from 1 aM to 100 pM without the amplification steps. We suggest that this ultrasensitive amplification-free detection system for nucleic acids can be widely applied to the precise and early diagnosis of viral infections, cancers, and several genetic diseases.
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Affiliation(s)
- Jin-Ha Choi
- Department of Chemical & Biomolecular Engineering, Sogang University, 35 Baekbeom-ro, Mapo-gu, Seoul 04107, Republic of Korea
- School of Chemical Engineering, Jeonbuk National University, 567 Baekje-daero, Deokjin-gu, Jeonju, Jeollabuk-do 54896, Republic of Korea
| | - Minkyu Shin
- Department of Chemical & Biomolecular Engineering, Sogang University, 35 Baekbeom-ro, Mapo-gu, Seoul 04107, Republic of Korea
| | - Letao Yang
- Department of Chemistry and Chemical Biology, Rutgers, The State University of New Jersey, 123 Bevier Road, Piscataway, New Jersey 08854, United States
| | - Brian Conley
- Department of Chemistry and Chemical Biology, Rutgers, The State University of New Jersey, 123 Bevier Road, Piscataway, New Jersey 08854, United States
| | - Jinho Yoon
- Department of Chemical & Biomolecular Engineering, Sogang University, 35 Baekbeom-ro, Mapo-gu, Seoul 04107, Republic of Korea
- Department of Chemistry and Chemical Biology, Rutgers, The State University of New Jersey, 123 Bevier Road, Piscataway, New Jersey 08854, United States
| | - Sang-Nam Lee
- Uniance Gene Inc., 1107 Teilhard Hall, 35 Baekbeom-Ro, Mapo-Gu, Seoul 04107, Republic of Korea
| | - Ki-Bum Lee
- Department of Chemistry and Chemical Biology, Rutgers, The State University of New Jersey, 123 Bevier Road, Piscataway, New Jersey 08854, United States
| | - Jeong-Woo Choi
- Department of Chemical & Biomolecular Engineering, Sogang University, 35 Baekbeom-ro, Mapo-gu, Seoul 04107, Republic of Korea
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Liao X, Xu Q, Tan Z, Liu Y, Wang C. Recent Advances in Plasmonic Nanostructures Applied for Label‐free Single‐cell Analysis. ELECTROANAL 2021. [DOI: 10.1002/elan.202100330] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Affiliation(s)
- Xue‐Wei Liao
- Analytical & Testing Center Nanjing Normal University Nanjing 210023 China
| | - Qiu‐Yang Xu
- Department of Chemistry China Pharmaceutical University Nanjing 211198 China
| | - Zheng Tan
- Department of Chemistry China Pharmaceutical University Nanjing 211198 China
| | - Yang Liu
- School of Environment Nanjing Normal University Nanjing 210023 China
| | - Chen Wang
- School of Chemistry and Materials Science Nanjing Normal University Nanjing 210023 China
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33
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Tapeinos C. Graphene‐Based Nanotechnology in Neurodegenerative Disorders. ADVANCED NANOBIOMED RESEARCH 2021. [DOI: 10.1002/anbr.202000059] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022] Open
Affiliation(s)
- Christos Tapeinos
- Division of Pharmaceutical Chemistry and Technology Faculty of Pharmacy University of Helsinki Helsinki FI-00014 Finland
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Gao XG, Cheng LX, Jiang WS, Li XK, Xing F. Graphene and its Derivatives-Based Optical Sensors. Front Chem 2021; 9:615164. [PMID: 33614600 PMCID: PMC7892452 DOI: 10.3389/fchem.2021.615164] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2020] [Accepted: 01/04/2021] [Indexed: 12/18/2022] Open
Abstract
Being the first successfully prepared two-dimensional material, graphene has attracted extensive attention from researchers due to its excellent properties and extremely wide range of applications. In particular, graphene and its derivatives have displayed several ideal properties, including broadband light absorption, ability to quench fluorescence, excellent biocompatibility, and strong polarization-dependent effects, thus emerging as one of the most popular platforms for optical sensors. Graphene and its derivatives-based optical sensors have numerous advantages, such as high sensitivity, low-cost, fast response time, and small dimensions. In this review, recent developments in graphene and its derivatives-based optical sensors are summarized, covering aspects related to fluorescence, graphene-based substrates for surface-enhanced Raman scattering (SERS), optical fiber biological sensors, and other kinds of graphene-based optical sensors. Various sensing applications, such as single-cell detection, cancer diagnosis, protein, and DNA sensing, are introduced and discussed systematically. Finally, a summary and roadmap of current and future trends are presented in order to provide a prospect for the development of graphene and its derivatives-based optical sensors.
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Affiliation(s)
- Xiao-Guang Gao
- College of Biomedical Engineering, Taiyuan University of Technology, Taiyuan, China
- The Key Laboratory of Weak Light Nonlinear Photonics, Ministry of Education, Nankai University, Tianjin, China
| | | | - Wen-Shuai Jiang
- School of Biomedical Engineering, Xinxiang Medical University, Xinxiang, China
| | - Xiao-Kuan Li
- The Key Laboratory of Weak Light Nonlinear Photonics, Ministry of Education, Nankai University, Tianjin, China
| | - Fei Xing
- School of Physics and Optoelectronic Engineering, Shandong University of Technology, Zibo, China
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Li M, Gao Y, Fan X, Wei Y, Hao Q, Qiu T. Origin of layer-dependent SERS tunability in 2D transition metal dichalcogenides. NANOSCALE HORIZONS 2021; 6:186-191. [PMID: 33448271 DOI: 10.1039/d0nh00625d] [Citation(s) in RCA: 22] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/12/2023]
Abstract
Two-dimensional (2D) semiconductors are expected to replace noble metals to become the matrix materials of the next generation of commercial surface-enhanced Raman scattering (SERS) chips. Herein, we systematically studied the influence of the interlayer interaction on the SERS activity of 2D semiconductors from a brand-new perspective and comprehensively analyzed the physicochemical process of 2D semiconductor interlayer modulated SERS. Taking transition metal dichalcogenides as examples, we chose PtSe2 with strong interlayer interactions and ReS2 with weak interlayer interactions to analyze the physicochemical process of 2D semiconductor interlayer modulated SERS by first-principles calculations. PtSe2 and ReS2 samples with various thicknesses were prepared respectively, and the results of comparative experiments proved that the layer-dependent SERS tunability of 2D semiconductors is directly related to the interlayer interaction. This work provided a novel method for further improving the SERS detection limit of 2D semiconductors and a possible strategy for the industrial upgrading of commercial SERS chips.
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Affiliation(s)
- Mingze Li
- School of Physics, Southeast University, Nanjing 211189, P. R. China.
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Non-enzymatic electrochemical sensor to detect γ-aminobutyric acid with ligand-based on graphene oxide modified gold electrode. J Electroanal Chem (Lausanne) 2020. [DOI: 10.1016/j.jelechem.2020.114789] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
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