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Nanozyme-based colorimetric biosensor with a systemic quantification algorithm for noninvasive glucose monitoring
Diabetes mellitus accompanies an abnormally high glucose level in the bloodstream. Early diagnosis and proper glycemic management of blood glucose are essential to prevent further progression and complications. Biosensor-based colorimetric detection has progressed and shown potential in portable and...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Ivyspring International Publisher
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9475463/ https://www.ncbi.nlm.nih.gov/pubmed/36168630 http://dx.doi.org/10.7150/thno.72152 |
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author | Jeon, Hee-Jae Kim, Hyung Shik Chung, Euiheon Lee, Dong Yun |
author_facet | Jeon, Hee-Jae Kim, Hyung Shik Chung, Euiheon Lee, Dong Yun |
author_sort | Jeon, Hee-Jae |
collection | PubMed |
description | Diabetes mellitus accompanies an abnormally high glucose level in the bloodstream. Early diagnosis and proper glycemic management of blood glucose are essential to prevent further progression and complications. Biosensor-based colorimetric detection has progressed and shown potential in portable and inexpensive daily assessment of glucose levels because of its simplicity, low-cost, and convenient operation without sophisticated instrumentation. Colorimetric glucose biosensors commonly use natural enzymes that recognize glucose and chromophores that detect enzymatic reaction products. However, many natural enzymes have inherent defects, limiting their extensive application. Recently, nanozyme-based colorimetric detection has drawn attention due to its merits including high sensitivity, stability under strict reaction conditions, flexible structural design with low-cost materials, and adjustable catalytic activities. This review discusses various nanozyme materials, colorimetric analytic methods and mechanisms, recent machine learning based analytic methods, quantification systems, applications and future directions for monitoring and managing diabetes. |
format | Online Article Text |
id | pubmed-9475463 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Ivyspring International Publisher |
record_format | MEDLINE/PubMed |
spelling | pubmed-94754632022-09-26 Nanozyme-based colorimetric biosensor with a systemic quantification algorithm for noninvasive glucose monitoring Jeon, Hee-Jae Kim, Hyung Shik Chung, Euiheon Lee, Dong Yun Theranostics Review Diabetes mellitus accompanies an abnormally high glucose level in the bloodstream. Early diagnosis and proper glycemic management of blood glucose are essential to prevent further progression and complications. Biosensor-based colorimetric detection has progressed and shown potential in portable and inexpensive daily assessment of glucose levels because of its simplicity, low-cost, and convenient operation without sophisticated instrumentation. Colorimetric glucose biosensors commonly use natural enzymes that recognize glucose and chromophores that detect enzymatic reaction products. However, many natural enzymes have inherent defects, limiting their extensive application. Recently, nanozyme-based colorimetric detection has drawn attention due to its merits including high sensitivity, stability under strict reaction conditions, flexible structural design with low-cost materials, and adjustable catalytic activities. This review discusses various nanozyme materials, colorimetric analytic methods and mechanisms, recent machine learning based analytic methods, quantification systems, applications and future directions for monitoring and managing diabetes. Ivyspring International Publisher 2022-09-07 /pmc/articles/PMC9475463/ /pubmed/36168630 http://dx.doi.org/10.7150/thno.72152 Text en © The author(s) https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/). See http://ivyspring.com/terms for full terms and conditions. |
spellingShingle | Review Jeon, Hee-Jae Kim, Hyung Shik Chung, Euiheon Lee, Dong Yun Nanozyme-based colorimetric biosensor with a systemic quantification algorithm for noninvasive glucose monitoring |
title | Nanozyme-based colorimetric biosensor with a systemic quantification algorithm for noninvasive glucose monitoring |
title_full | Nanozyme-based colorimetric biosensor with a systemic quantification algorithm for noninvasive glucose monitoring |
title_fullStr | Nanozyme-based colorimetric biosensor with a systemic quantification algorithm for noninvasive glucose monitoring |
title_full_unstemmed | Nanozyme-based colorimetric biosensor with a systemic quantification algorithm for noninvasive glucose monitoring |
title_short | Nanozyme-based colorimetric biosensor with a systemic quantification algorithm for noninvasive glucose monitoring |
title_sort | nanozyme-based colorimetric biosensor with a systemic quantification algorithm for noninvasive glucose monitoring |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9475463/ https://www.ncbi.nlm.nih.gov/pubmed/36168630 http://dx.doi.org/10.7150/thno.72152 |
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