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Highly sensitive and selective colorimetric sensing of CO(2) for biomedical applications

The concentration of carbon dioxide (CO(2)) in unhealthy people differs greatly from healthy people. High-precision CO(2) detection with a quick response time is essential for many biomedical applications. A major focus of this research is on the detection of CO(2), one of the most important health...

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Autores principales: Shahid, Shahina, Geetha, Mithra, Sadasivuni, Kishor Kumar, Remani, Divya, Muthusamy, Suresh, Muthalif, Asan G. A., Al-maadeed, Somaya
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9622963/
https://www.ncbi.nlm.nih.gov/pubmed/36330379
http://dx.doi.org/10.1007/s13205-022-03396-9
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author Shahid, Shahina
Geetha, Mithra
Sadasivuni, Kishor Kumar
Remani, Divya
Muthusamy, Suresh
Muthalif, Asan G. A.
Al-maadeed, Somaya
author_facet Shahid, Shahina
Geetha, Mithra
Sadasivuni, Kishor Kumar
Remani, Divya
Muthusamy, Suresh
Muthalif, Asan G. A.
Al-maadeed, Somaya
author_sort Shahid, Shahina
collection PubMed
description The concentration of carbon dioxide (CO(2)) in unhealthy people differs greatly from healthy people. High-precision CO(2) detection with a quick response time is essential for many biomedical applications. A major focus of this research is on the detection of CO(2), one of the most important health biomarkers. We investigated a low-cost, flexible, and reliable strategy by using dyes for colorimetric CO(2) sensing in this study. The impacts of temperature, pH, reaction time, reusability, concentration, and dye selectivity were studied thoroughly. This study described real-time CO(2) analysis. Using this multi-dye method, we got an average detection limit of 1.98 ppm for CO(2), in the range of 50–120 ppm. A portable colorimetric instrument with a smartphone-assisted unit was constructed to determine the relative red/green/blue values for real-time and practical applications within 15 s of interaction and the readings are very similar to those of an optical fiber probe. Environmental and biological chemistry applications are likely to benefit greatly from this unique approach.
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spelling pubmed-96229632022-11-02 Highly sensitive and selective colorimetric sensing of CO(2) for biomedical applications Shahid, Shahina Geetha, Mithra Sadasivuni, Kishor Kumar Remani, Divya Muthusamy, Suresh Muthalif, Asan G. A. Al-maadeed, Somaya 3 Biotech Original Article The concentration of carbon dioxide (CO(2)) in unhealthy people differs greatly from healthy people. High-precision CO(2) detection with a quick response time is essential for many biomedical applications. A major focus of this research is on the detection of CO(2), one of the most important health biomarkers. We investigated a low-cost, flexible, and reliable strategy by using dyes for colorimetric CO(2) sensing in this study. The impacts of temperature, pH, reaction time, reusability, concentration, and dye selectivity were studied thoroughly. This study described real-time CO(2) analysis. Using this multi-dye method, we got an average detection limit of 1.98 ppm for CO(2), in the range of 50–120 ppm. A portable colorimetric instrument with a smartphone-assisted unit was constructed to determine the relative red/green/blue values for real-time and practical applications within 15 s of interaction and the readings are very similar to those of an optical fiber probe. Environmental and biological chemistry applications are likely to benefit greatly from this unique approach. Springer International Publishing 2022-10-31 2022-12 /pmc/articles/PMC9622963/ /pubmed/36330379 http://dx.doi.org/10.1007/s13205-022-03396-9 Text en © The Author(s) 2022 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 Original Article
Shahid, Shahina
Geetha, Mithra
Sadasivuni, Kishor Kumar
Remani, Divya
Muthusamy, Suresh
Muthalif, Asan G. A.
Al-maadeed, Somaya
Highly sensitive and selective colorimetric sensing of CO(2) for biomedical applications
title Highly sensitive and selective colorimetric sensing of CO(2) for biomedical applications
title_full Highly sensitive and selective colorimetric sensing of CO(2) for biomedical applications
title_fullStr Highly sensitive and selective colorimetric sensing of CO(2) for biomedical applications
title_full_unstemmed Highly sensitive and selective colorimetric sensing of CO(2) for biomedical applications
title_short Highly sensitive and selective colorimetric sensing of CO(2) for biomedical applications
title_sort highly sensitive and selective colorimetric sensing of co(2) for biomedical applications
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9622963/
https://www.ncbi.nlm.nih.gov/pubmed/36330379
http://dx.doi.org/10.1007/s13205-022-03396-9
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