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    Colorimetry-based detection of nitric oxide from exhaled breath for quantification of oxidative stress in human body

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    Colorimetry-Based Detection of Nitric Oxide from Exhaled Breath for Quantification of Oxidative Stress in Human Body.pdf (2.503Mb)
    Date
    2021
    Author
    Maurya, Muni Raj
    Onthath, Haseena
    Morsy, Hagar
    Riyaz, Najam-US-Sahar
    Ibrahim, Muna
    Ahmed, Alaa Elsafi
    Abuznad, Raghad
    Alruwaili, Aeshah
    Alsaedi, Fatimatulzahraa
    Kasak, Peter
    Sadasivuni, Kishor Kumar
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    Abstract
    Monitoring exhaled breath is a safe, noninvasive method for determining the health status of the human body. Most of the components in our exhaled breath can act as health biomarkers, and they help in providing information about various diseases. Nitric oxide (NO) is one such important biomarker in exhaled breath that indicates oxidative stress in our body. This work presents a simple and noninvasive quantitative analysis approach for detecting NO from exhaled breath. The sensing is based on the colorimetric assisted detection of NO by m-Cresol Purple, Bromophenol Blue, and Alizaringelb dye. The sensing performance of the dye was analyzed by ultraviolet?visible (UV?Vis) spectroscopy. The study covers various sampling conditions like the pH effect, temperature effect, concentration effect, and selective nature of the dye. The m-Cresol Purple dye exhibited a high sensitivity towards NO with a detection limit of ~0.082 ppm in the linear range of 0.002?0.5 ppm. Moreover, the dye apprehended a high degree of selectivity towards other biocompounds present in the breath, and no possible interfering cross-reaction from these species was observed. The dye offered a high sensitivity, selectivity, fast response, and stability, which benchmark its potential for NO sensing. Further, m-Cresol Purple dye is suitable for NO sensing from the exhaled breath and can assist in quantifying oxidative stress levels in the body for the possible detection of COVID-19.
    DOI/handle
    http://dx.doi.org/10.3390/healthcare9081055
    http://hdl.handle.net/10576/28569
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