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Human metabolite detection by surface-enhanced Raman spectroscopy

Metabolites are important biomarkers in human body fluids, conveying direct information of cellular activities and physical conditions. Metabolite detection has long been a research hotspot in the field of biology and medicine. Surface-enhanced Raman spectroscopy (SERS), based on the molecular “fing...

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Detalles Bibliográficos
Autores principales: Lu, Yao, Lin, Li, Ye, Jian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8792281/
https://www.ncbi.nlm.nih.gov/pubmed/35118368
http://dx.doi.org/10.1016/j.mtbio.2022.100205
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author Lu, Yao
Lin, Li
Ye, Jian
author_facet Lu, Yao
Lin, Li
Ye, Jian
author_sort Lu, Yao
collection PubMed
description Metabolites are important biomarkers in human body fluids, conveying direct information of cellular activities and physical conditions. Metabolite detection has long been a research hotspot in the field of biology and medicine. Surface-enhanced Raman spectroscopy (SERS), based on the molecular “fingerprint” of Raman spectrum and the enormous signal enhancement (down to a single-molecule level) by plasmonic nanomaterials, has proven to be a novel and powerful tool for metabolite detection. SERS provides favorable properties such as ultra-sensitive, label-free, rapid, specific, and non-destructive detection processes. In this review, we summarized the progress in recent 10 years on SERS-based sensing of endogenous metabolites at the cellular level, in tissues, and in biofluids, as well as drug metabolites in biofluids. We made detailed discussions on the challenges and optimization methods of SERS technique in metabolite detection. The combination of SERS with modern biomedical technology were also anticipated.
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spelling pubmed-87922812022-02-02 Human metabolite detection by surface-enhanced Raman spectroscopy Lu, Yao Lin, Li Ye, Jian Mater Today Bio Advanced Materials for Disease Diagnosis edited by Kun Qian; Lin Huang Metabolites are important biomarkers in human body fluids, conveying direct information of cellular activities and physical conditions. Metabolite detection has long been a research hotspot in the field of biology and medicine. Surface-enhanced Raman spectroscopy (SERS), based on the molecular “fingerprint” of Raman spectrum and the enormous signal enhancement (down to a single-molecule level) by plasmonic nanomaterials, has proven to be a novel and powerful tool for metabolite detection. SERS provides favorable properties such as ultra-sensitive, label-free, rapid, specific, and non-destructive detection processes. In this review, we summarized the progress in recent 10 years on SERS-based sensing of endogenous metabolites at the cellular level, in tissues, and in biofluids, as well as drug metabolites in biofluids. We made detailed discussions on the challenges and optimization methods of SERS technique in metabolite detection. The combination of SERS with modern biomedical technology were also anticipated. Elsevier 2022-01-19 /pmc/articles/PMC8792281/ /pubmed/35118368 http://dx.doi.org/10.1016/j.mtbio.2022.100205 Text en © 2022 The Authors. Published by Elsevier Ltd. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Advanced Materials for Disease Diagnosis edited by Kun Qian; Lin Huang
Lu, Yao
Lin, Li
Ye, Jian
Human metabolite detection by surface-enhanced Raman spectroscopy
title Human metabolite detection by surface-enhanced Raman spectroscopy
title_full Human metabolite detection by surface-enhanced Raman spectroscopy
title_fullStr Human metabolite detection by surface-enhanced Raman spectroscopy
title_full_unstemmed Human metabolite detection by surface-enhanced Raman spectroscopy
title_short Human metabolite detection by surface-enhanced Raman spectroscopy
title_sort human metabolite detection by surface-enhanced raman spectroscopy
topic Advanced Materials for Disease Diagnosis edited by Kun Qian; Lin Huang
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8792281/
https://www.ncbi.nlm.nih.gov/pubmed/35118368
http://dx.doi.org/10.1016/j.mtbio.2022.100205
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