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The development progress of multi-array colourimetric sensors based on the M13 bacteriophage

Techniques for detecting chemicals dispersed at low concentrations in air continue to evolve. These techniques can be applied not only to manage the quality of agricultural products using a post-ripening process but also to establish a safety prevention system by detecting harmful gases and diagnosi...

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Autores principales: Kim, Sung-Jo, Lee, Yujin, Choi, Eun Jung, Lee, Jong-Min, Kim, Kwang Ho, Oh, Jin-Woo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Nature Singapore 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9808696/
https://www.ncbi.nlm.nih.gov/pubmed/36595116
http://dx.doi.org/10.1186/s40580-022-00351-5
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author Kim, Sung-Jo
Lee, Yujin
Choi, Eun Jung
Lee, Jong-Min
Kim, Kwang Ho
Oh, Jin-Woo
author_facet Kim, Sung-Jo
Lee, Yujin
Choi, Eun Jung
Lee, Jong-Min
Kim, Kwang Ho
Oh, Jin-Woo
author_sort Kim, Sung-Jo
collection PubMed
description Techniques for detecting chemicals dispersed at low concentrations in air continue to evolve. These techniques can be applied not only to manage the quality of agricultural products using a post-ripening process but also to establish a safety prevention system by detecting harmful gases and diagnosing diseases. Recently, techniques for rapid response to various chemicals and detection in complex and noisy environments have been developed using M13 bacteriophage-based sensors. In this review, M13 bacteriophage-based multi-array colourimetric sensors for the development of an electronic nose is discussed. The self-templating process was adapted to fabricate a colour band structure consisting of an M13 bacteriophage. To detect diverse target chemicals, the colour band was utilised with wild and genetically engineered M13 bacteriophages to enhance their sensing abilities. Multi-array colourimetric sensors were optimised for application in complex and noisy environments based on simulation and deep learning analysis. The development of a multi-array colourimetric sensor platform based on the M13 bacteriophage is likely to result in significant advances in the detection of various harmful gases and the diagnosis of various diseases based on exhaled gas in the future.
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spelling pubmed-98086962023-01-04 The development progress of multi-array colourimetric sensors based on the M13 bacteriophage Kim, Sung-Jo Lee, Yujin Choi, Eun Jung Lee, Jong-Min Kim, Kwang Ho Oh, Jin-Woo Nano Converg Review Techniques for detecting chemicals dispersed at low concentrations in air continue to evolve. These techniques can be applied not only to manage the quality of agricultural products using a post-ripening process but also to establish a safety prevention system by detecting harmful gases and diagnosing diseases. Recently, techniques for rapid response to various chemicals and detection in complex and noisy environments have been developed using M13 bacteriophage-based sensors. In this review, M13 bacteriophage-based multi-array colourimetric sensors for the development of an electronic nose is discussed. The self-templating process was adapted to fabricate a colour band structure consisting of an M13 bacteriophage. To detect diverse target chemicals, the colour band was utilised with wild and genetically engineered M13 bacteriophages to enhance their sensing abilities. Multi-array colourimetric sensors were optimised for application in complex and noisy environments based on simulation and deep learning analysis. The development of a multi-array colourimetric sensor platform based on the M13 bacteriophage is likely to result in significant advances in the detection of various harmful gases and the diagnosis of various diseases based on exhaled gas in the future. Springer Nature Singapore 2023-01-03 /pmc/articles/PMC9808696/ /pubmed/36595116 http://dx.doi.org/10.1186/s40580-022-00351-5 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis 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 Review
Kim, Sung-Jo
Lee, Yujin
Choi, Eun Jung
Lee, Jong-Min
Kim, Kwang Ho
Oh, Jin-Woo
The development progress of multi-array colourimetric sensors based on the M13 bacteriophage
title The development progress of multi-array colourimetric sensors based on the M13 bacteriophage
title_full The development progress of multi-array colourimetric sensors based on the M13 bacteriophage
title_fullStr The development progress of multi-array colourimetric sensors based on the M13 bacteriophage
title_full_unstemmed The development progress of multi-array colourimetric sensors based on the M13 bacteriophage
title_short The development progress of multi-array colourimetric sensors based on the M13 bacteriophage
title_sort development progress of multi-array colourimetric sensors based on the m13 bacteriophage
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9808696/
https://www.ncbi.nlm.nih.gov/pubmed/36595116
http://dx.doi.org/10.1186/s40580-022-00351-5
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