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Recent development of surface-enhanced Raman scattering for biosensing
Surface-Enhanced Raman Scattering (SERS) technology, as a powerful tool to identify molecular species by collecting molecular spectral signals at the single-molecule level, has achieved substantial progresses in the fields of environmental science, medical diagnosis, food safety, and biological anal...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10163864/ https://www.ncbi.nlm.nih.gov/pubmed/37149605 http://dx.doi.org/10.1186/s12951-023-01890-7 |
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author | Lin, Chenglong Li, Yanyan Peng, Yusi Zhao, Shuai Xu, Meimei Zhang, Lingxia Huang, Zhengren Shi, Jianlin Yang, Yong |
author_facet | Lin, Chenglong Li, Yanyan Peng, Yusi Zhao, Shuai Xu, Meimei Zhang, Lingxia Huang, Zhengren Shi, Jianlin Yang, Yong |
author_sort | Lin, Chenglong |
collection | PubMed |
description | Surface-Enhanced Raman Scattering (SERS) technology, as a powerful tool to identify molecular species by collecting molecular spectral signals at the single-molecule level, has achieved substantial progresses in the fields of environmental science, medical diagnosis, food safety, and biological analysis. As deepening research is delved into SERS sensing, more and more high-performance or multifunctional SERS substrate materials emerge, which are expected to push Raman sensing into more application fields. Especially in the field of biological analysis, intrinsic and extrinsic SERS sensing schemes have been widely used and explored due to their fast, sensitive and reliable advantages. Herein, recent developments of SERS substrates and their applications in biomolecular detection (SARS-CoV-2 virus, tumor etc.), biological imaging and pesticide detection are summarized. The SERS concepts (including its basic theory and sensing mechanism) and the important strategies (extending from nanomaterials with tunable shapes and nanostructures to surface bio-functionalization by modifying affinity groups or specific biomolecules) for improving SERS biosensing performance are comprehensively discussed. For data analysis and identification, the applications of machine learning methods and software acquisition sources in SERS biosensing and diagnosing are discussed in detail. In conclusion, the challenges and perspectives of SERS biosensing in the future are presented. |
format | Online Article Text |
id | pubmed-10163864 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-101638642023-05-08 Recent development of surface-enhanced Raman scattering for biosensing Lin, Chenglong Li, Yanyan Peng, Yusi Zhao, Shuai Xu, Meimei Zhang, Lingxia Huang, Zhengren Shi, Jianlin Yang, Yong J Nanobiotechnology Review Surface-Enhanced Raman Scattering (SERS) technology, as a powerful tool to identify molecular species by collecting molecular spectral signals at the single-molecule level, has achieved substantial progresses in the fields of environmental science, medical diagnosis, food safety, and biological analysis. As deepening research is delved into SERS sensing, more and more high-performance or multifunctional SERS substrate materials emerge, which are expected to push Raman sensing into more application fields. Especially in the field of biological analysis, intrinsic and extrinsic SERS sensing schemes have been widely used and explored due to their fast, sensitive and reliable advantages. Herein, recent developments of SERS substrates and their applications in biomolecular detection (SARS-CoV-2 virus, tumor etc.), biological imaging and pesticide detection are summarized. The SERS concepts (including its basic theory and sensing mechanism) and the important strategies (extending from nanomaterials with tunable shapes and nanostructures to surface bio-functionalization by modifying affinity groups or specific biomolecules) for improving SERS biosensing performance are comprehensively discussed. For data analysis and identification, the applications of machine learning methods and software acquisition sources in SERS biosensing and diagnosing are discussed in detail. In conclusion, the challenges and perspectives of SERS biosensing in the future are presented. BioMed Central 2023-05-06 /pmc/articles/PMC10163864/ /pubmed/37149605 http://dx.doi.org/10.1186/s12951-023-01890-7 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Review Lin, Chenglong Li, Yanyan Peng, Yusi Zhao, Shuai Xu, Meimei Zhang, Lingxia Huang, Zhengren Shi, Jianlin Yang, Yong Recent development of surface-enhanced Raman scattering for biosensing |
title | Recent development of surface-enhanced Raman scattering for biosensing |
title_full | Recent development of surface-enhanced Raman scattering for biosensing |
title_fullStr | Recent development of surface-enhanced Raman scattering for biosensing |
title_full_unstemmed | Recent development of surface-enhanced Raman scattering for biosensing |
title_short | Recent development of surface-enhanced Raman scattering for biosensing |
title_sort | recent development of surface-enhanced raman scattering for biosensing |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10163864/ https://www.ncbi.nlm.nih.gov/pubmed/37149605 http://dx.doi.org/10.1186/s12951-023-01890-7 |
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