Colorimetry-Based Detection of Biomarkers in Exhaled Breath for Predicting COVID-19 Disease
المؤلف | Al-saedi, Fatimatulzahraa |
المؤلف | Riyaz, Najam-US-Sahar |
المؤلف | Morsy, Hagar |
المؤلف | Abuznad, Raghad |
المؤلف | Ahmed, Alaa Elsafi |
المؤلف | Alruwaili, Aeshah |
المؤلف | Ibrahim, Muna |
المؤلف | Sha, Mizaj Shabil |
المؤلف | Onthath, Haseena |
المؤلف | Maurya, Muni Raj |
المؤلف | Sadasivuni, Kishor Kumar |
المؤلف | Kasak, Peter (3) |
تاريخ الإتاحة | 2021-10-18T08:15:40Z |
تاريخ النشر | 2021 |
اسم المنشور | Qatar University Annual Research an Exhibition 2021 (quarfe) |
الاقتباس | Al-saedi F., Riyaz N. U. S., Morsy H., Abuznad R., Ahmed A. E., Alruwaili A., Ibrahim M., Sha M. S., Onthath H., Maurya M. R., Sadasivuni K. K., Kasak P., "Colorimetry-Based Detection of Biomarkers in Exhaled Breath for Predicting COVID-19 Disease", Qatar University Annual Research Forum and Exhibition (QUARFE 2021), Doha, 20 October 2021, https://doi.org/10.29117/quarfe.2021.0128 |
الملخص | Exhaled breath is the biological medium that carries relevant medical information and can be used to analyse biomarkers characteristic for detecting abnormal health status. Thus, by systematically analysing the interaction mechanism of the coronavirus with the human cell and its effect on the biological activity, it is possible to indentify the compounds whose proportion in the exhale breath is affected. One such biomarkers are hydrogen peroxide (H2O2) and nitric oxide (NO), which represents oxidative stress in the body. The present study represents the colorimetry based quantification of H2O2 and NO using KMnO4 and m-cresol purple dye, respectively. The dyes exhibited 0.01 ppm limit of detection (LOD) for H2O2 and LOD of 0.02 ppm was estimated for NO. Moreover, dyes apprehended high degree of selectivity towards other bio-compounds present in the breath. The colorimetry sensor is best suited for quantifying oxidative stress in the body, which is one of the indicator of coronavirus infection. Thus, the sensor offers rapid point-of-detection for predicting COVID-19 infection in human body. |
اللغة | en |
الناشر | Qatar University Press |
الموضوع | Non-invasive Exhaled breath Oxidative stress Colorimetry COVID-19 |
النوع | Poster |
الملفات في هذه التسجيلة
هذه التسجيلة تظهر في المجموعات التالية
-
الأبحاث [1356 items ]
-
الكيمياء وعلوم الأرض [557 items ]
-
أبحاث فيروس كورونا المستجد (كوفيد-19) [818 items ]
-
Theme 2: Health and Biomedical Sciences [80 items ]