Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Lin, Chenglong, Li, Yanyan, Peng, Yusi, Zhao, Shuai, Xu, Meimei, Zhang, Lingxia, Huang, Zhengren, Shi, Jianlin, Yang, Yong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
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
_version_ 1785037971390464000
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
work_keys_str_mv AT linchenglong recentdevelopmentofsurfaceenhancedramanscatteringforbiosensing
AT liyanyan recentdevelopmentofsurfaceenhancedramanscatteringforbiosensing
AT pengyusi recentdevelopmentofsurfaceenhancedramanscatteringforbiosensing
AT zhaoshuai recentdevelopmentofsurfaceenhancedramanscatteringforbiosensing
AT xumeimei recentdevelopmentofsurfaceenhancedramanscatteringforbiosensing
AT zhanglingxia recentdevelopmentofsurfaceenhancedramanscatteringforbiosensing
AT huangzhengren recentdevelopmentofsurfaceenhancedramanscatteringforbiosensing
AT shijianlin recentdevelopmentofsurfaceenhancedramanscatteringforbiosensing
AT yangyong recentdevelopmentofsurfaceenhancedramanscatteringforbiosensing