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An origami-based colorimetric sensor for detection of hydrogen peroxide and glucose using sericin capped silver nanoparticles
The hydrogen peroxide (H(2)O(2)) measurement is considered highly important in industrial wastewater quality assessment, environmental protection, and disease detection. Here, a simple high-performance paper-based sensor is proposed for rapid and in situ detection of H(2)O(2). To this end, 3,3′,5,5′...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10151347/ https://www.ncbi.nlm.nih.gov/pubmed/37127668 http://dx.doi.org/10.1038/s41598-023-34299-1 |
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author | Mirzaei, Younes Gholami, Ali Sheini, Azarmidokht Bordbar, Mohammad Mahdi |
author_facet | Mirzaei, Younes Gholami, Ali Sheini, Azarmidokht Bordbar, Mohammad Mahdi |
author_sort | Mirzaei, Younes |
collection | PubMed |
description | The hydrogen peroxide (H(2)O(2)) measurement is considered highly important in industrial wastewater quality assessment, environmental protection, and disease detection. Here, a simple high-performance paper-based sensor is proposed for rapid and in situ detection of H(2)O(2). To this end, 3,3′,5,5′-tetramethylbenzidine is embedded in the sensor to act as a color indicator, whose reaction with hydrogen peroxide is catalyzed by a silver nanozyme modified by sericin. The result of the reaction clarified by the appearance of blue color in the sensor detection zone is received by a portable scanner, while also calculating its intensity by image analysis software. This method is sensitive to hydrogen peroxide in the concentration range of 0.5‒240 mg/dL, providing a detection limit of 0.15 mg/dL. The ability of the sensor to determine glucose is also evaluated by adding a layer containing glucose oxidase enzyme to the sensor structure. A desirable response is obtained in the range of 1.0‒160 mg/dL, together with a detection limit of 0.37 mg/dL. Accordingly, the proposed sensor shows satisfactory results compared to clinical methods for monitoring the amount of glucose in biological samples such as serum and saliva. |
format | Online Article Text |
id | pubmed-10151347 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-101513472023-05-03 An origami-based colorimetric sensor for detection of hydrogen peroxide and glucose using sericin capped silver nanoparticles Mirzaei, Younes Gholami, Ali Sheini, Azarmidokht Bordbar, Mohammad Mahdi Sci Rep Article The hydrogen peroxide (H(2)O(2)) measurement is considered highly important in industrial wastewater quality assessment, environmental protection, and disease detection. Here, a simple high-performance paper-based sensor is proposed for rapid and in situ detection of H(2)O(2). To this end, 3,3′,5,5′-tetramethylbenzidine is embedded in the sensor to act as a color indicator, whose reaction with hydrogen peroxide is catalyzed by a silver nanozyme modified by sericin. The result of the reaction clarified by the appearance of blue color in the sensor detection zone is received by a portable scanner, while also calculating its intensity by image analysis software. This method is sensitive to hydrogen peroxide in the concentration range of 0.5‒240 mg/dL, providing a detection limit of 0.15 mg/dL. The ability of the sensor to determine glucose is also evaluated by adding a layer containing glucose oxidase enzyme to the sensor structure. A desirable response is obtained in the range of 1.0‒160 mg/dL, together with a detection limit of 0.37 mg/dL. Accordingly, the proposed sensor shows satisfactory results compared to clinical methods for monitoring the amount of glucose in biological samples such as serum and saliva. Nature Publishing Group UK 2023-05-01 /pmc/articles/PMC10151347/ /pubmed/37127668 http://dx.doi.org/10.1038/s41598-023-34299-1 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This 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/) . |
spellingShingle | Article Mirzaei, Younes Gholami, Ali Sheini, Azarmidokht Bordbar, Mohammad Mahdi An origami-based colorimetric sensor for detection of hydrogen peroxide and glucose using sericin capped silver nanoparticles |
title | An origami-based colorimetric sensor for detection of hydrogen peroxide and glucose using sericin capped silver nanoparticles |
title_full | An origami-based colorimetric sensor for detection of hydrogen peroxide and glucose using sericin capped silver nanoparticles |
title_fullStr | An origami-based colorimetric sensor for detection of hydrogen peroxide and glucose using sericin capped silver nanoparticles |
title_full_unstemmed | An origami-based colorimetric sensor for detection of hydrogen peroxide and glucose using sericin capped silver nanoparticles |
title_short | An origami-based colorimetric sensor for detection of hydrogen peroxide and glucose using sericin capped silver nanoparticles |
title_sort | origami-based colorimetric sensor for detection of hydrogen peroxide and glucose using sericin capped silver nanoparticles |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10151347/ https://www.ncbi.nlm.nih.gov/pubmed/37127668 http://dx.doi.org/10.1038/s41598-023-34299-1 |
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