A smartphone-interfaced, low-cost colorimetry biosensor for selective detection of bronchiectasis via an artificial neural network. Issue 37 (26th August 2022)

• Record Type: Journal Article
• Authors: Sha, Mizaj Shabil; Maurya, Muni Raj; Chowdhury, Muhammad E. H.; Muthalif, Asan G. A.; Al-Maadeed, Somaya; Sadasivuni, Kishor Kumar
• Is Part Of: RSC advances. Volume 12:Issue 37(2022)
• Page Start: 23946
• Page End: 23955
• Publication Date: 2022-08-26
• Subjects: Chemistry -- Periodicals; 540.5
• DOI: 10.1039/d2ra03769f
• Languages: English
• ISSNs: 2046-2069

Abstract

Abstract : Detection of bronchiectasis from exhaled breath. Abstract : Exhaled breath (EB) contains several macromolecules that can be exploited as biomarkers to provide clinical information about various diseases. Hydrogen peroxide (H2 O2 ) is a biomarker because it indicates bronchiectasis in humans. This paper presents a non-invasive, low-cost, and portable quantitative analysis for monitoring and quantifying H2 O2 in EB. The sensing unit works on colorimetry by the synergetic effect of eosin blue, potassium permanganate, and starch-iodine (EPS) systems. Various sampling conditions like pH, response time, concentration, temperature and selectivity were examined. The UV-vis absorption study of the assay showed that the dye system could detect as low as ∼0.011 ppm levels of H2 O2 . A smart device-assisted detection unit that rapidly detects red, green and blue (RGB) values has been interfaced for practical and real-time application. The RGB value-based quantification of the H2 O2 level was calibrated against NMR spectroscopy and exhibited a close correlation. Further, we adopted a machine learning approach to predict H2 O2 concentration. For the evaluation, an artificial neural network (ANN) regression model returned 0.941 R 2 suggesting its great prospect for discrete level quantification of H2 O2 . The outcomes exemplified that the sensor could be used to detect bronchiectasis from exhaled breath.