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Breath Analysis for the In Vivo Detection of Diabetic Ketoacidosis

[Image: see text] Human breath analysis of volatile organic compounds has gained significant attention recently because of its rapid and noninvasive potential to detect various metabolic diseases. The detection of ketones in the breath and blood is key to diagnosing and managing diabetic ketoacidosi...

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Autores principales: Sha, Mizaj Shabil, Maurya, Muni Raj, Shafath, Sadiyah, Cabibihan, John-John, Al-Ali, Abdulaziz, Malik, Rayaz A., Sadasivuni, Kishor Kumar
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2022
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8830064/
https://www.ncbi.nlm.nih.gov/pubmed/35155918
http://dx.doi.org/10.1021/acsomega.1c05948
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author Sha, Mizaj Shabil
Maurya, Muni Raj
Shafath, Sadiyah
Cabibihan, John-John
Al-Ali, Abdulaziz
Malik, Rayaz A.
Sadasivuni, Kishor Kumar
author_facet Sha, Mizaj Shabil
Maurya, Muni Raj
Shafath, Sadiyah
Cabibihan, John-John
Al-Ali, Abdulaziz
Malik, Rayaz A.
Sadasivuni, Kishor Kumar
author_sort Sha, Mizaj Shabil
collection PubMed
description [Image: see text] Human breath analysis of volatile organic compounds has gained significant attention recently because of its rapid and noninvasive potential to detect various metabolic diseases. The detection of ketones in the breath and blood is key to diagnosing and managing diabetic ketoacidosis (DKA) in patients with type 1 diabetes. It may also be of increasing importance to detect euglycemic ketoacidosis in patients with type 1 or type 2 diabetes or heart failure, treated with sodium-glucose transporter-2 inhibitors (SGLT2-i). The present research evaluates the efficiency of colorimetry for detecting acetone and ethanol in exhaled human breath with the response time, pH effect, temperature effect, concentration effect, and selectivity of dyes. Using the proposed multidye system, we obtained a detection limit of 0.0217 ppm for acetone and 0.029 ppm for ethanol in the detection range of 0.05–50 ppm. A smartphone-assisted unit consisting of a portable colorimetric device was used to detect relative red/green/blue values within 60 s of the interface for practical and real-time application. The developed method could be used for rapid, low-cost detection of ketones in patients with type 1 diabetes and DKA and patients with type 1 or type 2 diabetes or heart failure treated with SGLT2-I and euglycemic ketoacidosis.
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spelling pubmed-88300642022-02-11 Breath Analysis for the In Vivo Detection of Diabetic Ketoacidosis Sha, Mizaj Shabil Maurya, Muni Raj Shafath, Sadiyah Cabibihan, John-John Al-Ali, Abdulaziz Malik, Rayaz A. Sadasivuni, Kishor Kumar ACS Omega [Image: see text] Human breath analysis of volatile organic compounds has gained significant attention recently because of its rapid and noninvasive potential to detect various metabolic diseases. The detection of ketones in the breath and blood is key to diagnosing and managing diabetic ketoacidosis (DKA) in patients with type 1 diabetes. It may also be of increasing importance to detect euglycemic ketoacidosis in patients with type 1 or type 2 diabetes or heart failure, treated with sodium-glucose transporter-2 inhibitors (SGLT2-i). The present research evaluates the efficiency of colorimetry for detecting acetone and ethanol in exhaled human breath with the response time, pH effect, temperature effect, concentration effect, and selectivity of dyes. Using the proposed multidye system, we obtained a detection limit of 0.0217 ppm for acetone and 0.029 ppm for ethanol in the detection range of 0.05–50 ppm. A smartphone-assisted unit consisting of a portable colorimetric device was used to detect relative red/green/blue values within 60 s of the interface for practical and real-time application. The developed method could be used for rapid, low-cost detection of ketones in patients with type 1 diabetes and DKA and patients with type 1 or type 2 diabetes or heart failure treated with SGLT2-I and euglycemic ketoacidosis. American Chemical Society 2022-01-24 /pmc/articles/PMC8830064/ /pubmed/35155918 http://dx.doi.org/10.1021/acsomega.1c05948 Text en © 2022 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 Sha, Mizaj Shabil
Maurya, Muni Raj
Shafath, Sadiyah
Cabibihan, John-John
Al-Ali, Abdulaziz
Malik, Rayaz A.
Sadasivuni, Kishor Kumar
Breath Analysis for the In Vivo Detection of Diabetic Ketoacidosis
title Breath Analysis for the In Vivo Detection of Diabetic Ketoacidosis
title_full Breath Analysis for the In Vivo Detection of Diabetic Ketoacidosis
title_fullStr Breath Analysis for the In Vivo Detection of Diabetic Ketoacidosis
title_full_unstemmed Breath Analysis for the In Vivo Detection of Diabetic Ketoacidosis
title_short Breath Analysis for the In Vivo Detection of Diabetic Ketoacidosis
title_sort breath analysis for the in vivo detection of diabetic ketoacidosis
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8830064/
https://www.ncbi.nlm.nih.gov/pubmed/35155918
http://dx.doi.org/10.1021/acsomega.1c05948
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