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ACS Omega

Title:		Breath Analysis for the In Vivo Detection of Diabetic Ketoacidosis
Author(s):		Sha MS; Maurya MR; Shafath S; Cabibihan JJ; Al-Ali A; Malik RA; Sadasivuni KK;
Address:		"Center for Advanced Materials, Qatar University, P.O. Box 2713, Doha 2713, Qatar. Department of Mechanical and Industrial Engineering, Qatar University, P.O. Box 2713, Doha 2713, Qatar. Department of Chemical Engineering, Qatar University, P.O. Box 2713, Doha 2713, Qatar. Department of Computer Science and Engineering, Qatar University, P.O. Box 2713, Doha 2713, Qatar. KINDI Center for Computing Research, Qatar University, Doha 2713, Qatar. Weill Cornell Medicine-Qatar, Qatar Foundation-Education City, P.O. Box 24144, Doha 2713, Qatar"
Journal Title:		ACS Omega
Year:		2022
Volume:		20220124
Issue:		5
Page Number:		4257 - 4266
DOI:		10.1021/acsomega.1c05948
ISSN/ISBN:		2470-1343 (Electronic) 2470-1343 (Linking)
Abstract:		"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"
Keywords:
Notes:		"PubMed-not-MEDLINESha, Mizaj Shabil Maurya, Muni Raj Shafath, Sadiyah Cabibihan, John-John Al-Ali, Abdulaziz Malik, Rayaz A Sadasivuni, Kishor Kumar eng 2022/02/15 ACS Omega. 2022 Jan 24; 7(5):4257-4266. doi: 10.1021/acsomega.1c05948. eCollection 2022 Feb 8"