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A SiO(2) Hybrid Enzyme-Based Biosensor with Enhanced Electrochemical Stability for Accuracy Detection of Glucose
A novel enzyme-based biosensor for glucose detection is successfully developed using layer-by-layer assembly technology. The introduction of commercially available SiO(2) was found to be a facile way to improve overall electrochemical stability. After 30 CV cycles, the proposed biosensor could retai...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10256442/ https://www.ncbi.nlm.nih.gov/pubmed/37304841 http://dx.doi.org/10.1155/2023/6620613 |
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author | Mei, Li Yang, Yiting Li, Jiagen Shang, Shuyong Fu, Xiaohong |
author_facet | Mei, Li Yang, Yiting Li, Jiagen Shang, Shuyong Fu, Xiaohong |
author_sort | Mei, Li |
collection | PubMed |
description | A novel enzyme-based biosensor for glucose detection is successfully developed using layer-by-layer assembly technology. The introduction of commercially available SiO(2) was found to be a facile way to improve overall electrochemical stability. After 30 CV cycles, the proposed biosensor could retain 95% of its original current. The biosensor presents good detection stability and reproducibility with the detection concentration range of 1.96 × 10(−9) to 7.24 × 10(−7) M. This study demonstrated that the hybridization of cheap inorganic nanoparticles was a useful method in preparing high-performance biosensors with a much lower cost. |
format | Online Article Text |
id | pubmed-10256442 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Hindawi |
record_format | MEDLINE/PubMed |
spelling | pubmed-102564422023-06-10 A SiO(2) Hybrid Enzyme-Based Biosensor with Enhanced Electrochemical Stability for Accuracy Detection of Glucose Mei, Li Yang, Yiting Li, Jiagen Shang, Shuyong Fu, Xiaohong Int J Anal Chem Research Article A novel enzyme-based biosensor for glucose detection is successfully developed using layer-by-layer assembly technology. The introduction of commercially available SiO(2) was found to be a facile way to improve overall electrochemical stability. After 30 CV cycles, the proposed biosensor could retain 95% of its original current. The biosensor presents good detection stability and reproducibility with the detection concentration range of 1.96 × 10(−9) to 7.24 × 10(−7) M. This study demonstrated that the hybridization of cheap inorganic nanoparticles was a useful method in preparing high-performance biosensors with a much lower cost. Hindawi 2023-06-02 /pmc/articles/PMC10256442/ /pubmed/37304841 http://dx.doi.org/10.1155/2023/6620613 Text en Copyright © 2023 Li Mei et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Mei, Li Yang, Yiting Li, Jiagen Shang, Shuyong Fu, Xiaohong A SiO(2) Hybrid Enzyme-Based Biosensor with Enhanced Electrochemical Stability for Accuracy Detection of Glucose |
title | A SiO(2) Hybrid Enzyme-Based Biosensor with Enhanced Electrochemical Stability for Accuracy Detection of Glucose |
title_full | A SiO(2) Hybrid Enzyme-Based Biosensor with Enhanced Electrochemical Stability for Accuracy Detection of Glucose |
title_fullStr | A SiO(2) Hybrid Enzyme-Based Biosensor with Enhanced Electrochemical Stability for Accuracy Detection of Glucose |
title_full_unstemmed | A SiO(2) Hybrid Enzyme-Based Biosensor with Enhanced Electrochemical Stability for Accuracy Detection of Glucose |
title_short | A SiO(2) Hybrid Enzyme-Based Biosensor with Enhanced Electrochemical Stability for Accuracy Detection of Glucose |
title_sort | sio(2) hybrid enzyme-based biosensor with enhanced electrochemical stability for accuracy detection of glucose |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10256442/ https://www.ncbi.nlm.nih.gov/pubmed/37304841 http://dx.doi.org/10.1155/2023/6620613 |
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