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Quantitative Point-of-Care Colorimetric Assay Modeling Using a Handheld Colorimeter

[Image: see text] Colorimetric assays typically offer a rapid and convenient method to assess analytes that span healthcare monitoring to water quality testing. However, such tests can only provide qualitative results when employed in resource-limited settings or require bulky and expensive equipmen...

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Autores principales: Abels, Kristen, Salvo-Halloran, Elizabeth M., White, Dawn, Ali, Monsur, Agarwal, Nisha R., Leung, Vincent, Ali, Muntakim, Sidawi, Mariam, Capretta, Alfredo, Brennan, John D., Nease, Jake, Filipe, Carlos D. M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2021
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8412955/
https://www.ncbi.nlm.nih.gov/pubmed/34497933
http://dx.doi.org/10.1021/acsomega.1c03460
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author Abels, Kristen
Salvo-Halloran, Elizabeth M.
White, Dawn
Ali, Monsur
Agarwal, Nisha R.
Leung, Vincent
Ali, Muntakim
Sidawi, Mariam
Capretta, Alfredo
Brennan, John D.
Nease, Jake
Filipe, Carlos D. M.
author_facet Abels, Kristen
Salvo-Halloran, Elizabeth M.
White, Dawn
Ali, Monsur
Agarwal, Nisha R.
Leung, Vincent
Ali, Muntakim
Sidawi, Mariam
Capretta, Alfredo
Brennan, John D.
Nease, Jake
Filipe, Carlos D. M.
author_sort Abels, Kristen
collection PubMed
description [Image: see text] Colorimetric assays typically offer a rapid and convenient method to assess analytes that span healthcare monitoring to water quality testing. However, such tests can only provide qualitative results when employed in resource-limited settings or require bulky and expensive equipment such as lab spectrophotometers to allow quantitative measurements. In this paper, we report on the use of a handheld colorimeter to quantitatively determine the concentration of analytes in a manner that is independent of ambient lighting or initial sample color. The method combines the response of the sensor with first-principles modeling that better describes the nature of the assay compared to linear-in-parameters regression modeling that is typically performed in other studies. This method was successfully demonstrated using a number of colorimetric assays: (1) determination of solution pH using a universal indicator, (2) quantification of the DNase presence using a DNA-gold nanoparticle assay, and (3) quantification of the concentration of the antibiotic tetracycline using a cell-based assay.
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spelling pubmed-84129552021-09-07 Quantitative Point-of-Care Colorimetric Assay Modeling Using a Handheld Colorimeter Abels, Kristen Salvo-Halloran, Elizabeth M. White, Dawn Ali, Monsur Agarwal, Nisha R. Leung, Vincent Ali, Muntakim Sidawi, Mariam Capretta, Alfredo Brennan, John D. Nease, Jake Filipe, Carlos D. M. ACS Omega [Image: see text] Colorimetric assays typically offer a rapid and convenient method to assess analytes that span healthcare monitoring to water quality testing. However, such tests can only provide qualitative results when employed in resource-limited settings or require bulky and expensive equipment such as lab spectrophotometers to allow quantitative measurements. In this paper, we report on the use of a handheld colorimeter to quantitatively determine the concentration of analytes in a manner that is independent of ambient lighting or initial sample color. The method combines the response of the sensor with first-principles modeling that better describes the nature of the assay compared to linear-in-parameters regression modeling that is typically performed in other studies. This method was successfully demonstrated using a number of colorimetric assays: (1) determination of solution pH using a universal indicator, (2) quantification of the DNase presence using a DNA-gold nanoparticle assay, and (3) quantification of the concentration of the antibiotic tetracycline using a cell-based assay. American Chemical Society 2021-08-17 /pmc/articles/PMC8412955/ /pubmed/34497933 http://dx.doi.org/10.1021/acsomega.1c03460 Text en © 2021 The Authors. Published by American Chemical Society https://creativecommons.org/licenses/by-nc-nd/4.0/Permits non-commercial access and re-use, provided that author attribution and integrity are maintained; but does not permit creation of adaptations or other derivative works (https://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Abels, Kristen
Salvo-Halloran, Elizabeth M.
White, Dawn
Ali, Monsur
Agarwal, Nisha R.
Leung, Vincent
Ali, Muntakim
Sidawi, Mariam
Capretta, Alfredo
Brennan, John D.
Nease, Jake
Filipe, Carlos D. M.
Quantitative Point-of-Care Colorimetric Assay Modeling Using a Handheld Colorimeter
title Quantitative Point-of-Care Colorimetric Assay Modeling Using a Handheld Colorimeter
title_full Quantitative Point-of-Care Colorimetric Assay Modeling Using a Handheld Colorimeter
title_fullStr Quantitative Point-of-Care Colorimetric Assay Modeling Using a Handheld Colorimeter
title_full_unstemmed Quantitative Point-of-Care Colorimetric Assay Modeling Using a Handheld Colorimeter
title_short Quantitative Point-of-Care Colorimetric Assay Modeling Using a Handheld Colorimeter
title_sort quantitative point-of-care colorimetric assay modeling using a handheld colorimeter
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8412955/
https://www.ncbi.nlm.nih.gov/pubmed/34497933
http://dx.doi.org/10.1021/acsomega.1c03460
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