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Plasmonic Metasurfaces for Medical Diagnosis Applications: A Review
Plasmonic metasurfaces have been widely used in biosensing to improve the interaction between light and biomolecules through the effects of near-field confinement. When paired with biofunctionalization, plasmonic metasurface sensing is considered as a viable strategy for improving biomarker detectio...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8747222/ https://www.ncbi.nlm.nih.gov/pubmed/35009676 http://dx.doi.org/10.3390/s22010133 |
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author | Wang, Zhenbiao Chen, Junjie Khan, Sayed Ali Li, Fajun Shen, Jiaqing Duan, Qilin Liu, Xueying Zhu, Jinfeng |
author_facet | Wang, Zhenbiao Chen, Junjie Khan, Sayed Ali Li, Fajun Shen, Jiaqing Duan, Qilin Liu, Xueying Zhu, Jinfeng |
author_sort | Wang, Zhenbiao |
collection | PubMed |
description | Plasmonic metasurfaces have been widely used in biosensing to improve the interaction between light and biomolecules through the effects of near-field confinement. When paired with biofunctionalization, plasmonic metasurface sensing is considered as a viable strategy for improving biomarker detection technologies. In this review, we enumerate the fundamental mechanism of plasmonic metasurfaces sensing and present their detection in human tumors and COVID-19. The advantages of rapid sampling, streamlined processes, high sensitivity, and easy accessibility are highlighted compared with traditional detection techniques. This review is looking forward to assisting scientists in advancing research and developing a new generation of multifunctional biosensors. |
format | Online Article Text |
id | pubmed-8747222 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-87472222022-01-11 Plasmonic Metasurfaces for Medical Diagnosis Applications: A Review Wang, Zhenbiao Chen, Junjie Khan, Sayed Ali Li, Fajun Shen, Jiaqing Duan, Qilin Liu, Xueying Zhu, Jinfeng Sensors (Basel) Review Plasmonic metasurfaces have been widely used in biosensing to improve the interaction between light and biomolecules through the effects of near-field confinement. When paired with biofunctionalization, plasmonic metasurface sensing is considered as a viable strategy for improving biomarker detection technologies. In this review, we enumerate the fundamental mechanism of plasmonic metasurfaces sensing and present their detection in human tumors and COVID-19. The advantages of rapid sampling, streamlined processes, high sensitivity, and easy accessibility are highlighted compared with traditional detection techniques. This review is looking forward to assisting scientists in advancing research and developing a new generation of multifunctional biosensors. MDPI 2021-12-25 /pmc/articles/PMC8747222/ /pubmed/35009676 http://dx.doi.org/10.3390/s22010133 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Review Wang, Zhenbiao Chen, Junjie Khan, Sayed Ali Li, Fajun Shen, Jiaqing Duan, Qilin Liu, Xueying Zhu, Jinfeng Plasmonic Metasurfaces for Medical Diagnosis Applications: A Review |
title | Plasmonic Metasurfaces for Medical Diagnosis Applications: A Review |
title_full | Plasmonic Metasurfaces for Medical Diagnosis Applications: A Review |
title_fullStr | Plasmonic Metasurfaces for Medical Diagnosis Applications: A Review |
title_full_unstemmed | Plasmonic Metasurfaces for Medical Diagnosis Applications: A Review |
title_short | Plasmonic Metasurfaces for Medical Diagnosis Applications: A Review |
title_sort | plasmonic metasurfaces for medical diagnosis applications: a review |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8747222/ https://www.ncbi.nlm.nih.gov/pubmed/35009676 http://dx.doi.org/10.3390/s22010133 |
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