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Mask assistance to colorimetric sniffers for detection of Covid-19 disease using exhaled breath metabolites
According to World Health Organization reports, large numbers of people around the globe have been infected or died for Covid-19 due to the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Researchers are still trying to find a rapid and accurate diagnostic method for revealing infected...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier B.V.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9279257/ https://www.ncbi.nlm.nih.gov/pubmed/35855726 http://dx.doi.org/10.1016/j.snb.2022.132379 |
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author | Bordbar, Mohammad Mahdi Samadinia, Hosein Hajian, Ali Sheini, Azarmidokht Safaei, Elham Aboonajmi, Jasem Arduini, Fabiana Sharghi, Hashem Hashemi, Pegah Khoshsafar, Hosein Ghanei, Mostafa Bagheri, Hasan |
author_facet | Bordbar, Mohammad Mahdi Samadinia, Hosein Hajian, Ali Sheini, Azarmidokht Safaei, Elham Aboonajmi, Jasem Arduini, Fabiana Sharghi, Hashem Hashemi, Pegah Khoshsafar, Hosein Ghanei, Mostafa Bagheri, Hasan |
author_sort | Bordbar, Mohammad Mahdi |
collection | PubMed |
description | According to World Health Organization reports, large numbers of people around the globe have been infected or died for Covid-19 due to the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Researchers are still trying to find a rapid and accurate diagnostic method for revealing infected people by low viral load with the overriding goal of effective diagnostic management. Monitoring the body metabolic changes is known as an effective and inexpensive approach for the evaluation of the infected people. Here, an optical sniffer is introduced to detect exhaled breath metabolites of patients with Covid-19 (60 samples), healthy humans (55 samples), and cured people (15 samples), providing a unique color pattern for differentiation between the studied samples. The sniffer device is installed on a thin face mask, and directly exposed to the exhaled breath stream. The interactions occurring between the volatile compounds and sensing components such as porphyrazines, modified organic dyes, porphyrins, inorganic complexes, and gold nanoparticles allowing for the change of the color, thus being tracked as the sensor responses. The assay accuracy for the differentiation between patient, healthy and cured samples is calculated to be in the range of 80%—84%. The changes in the color of the sensor have a linear correlation with the disease severity and viral load evaluated by rRT-PCR method. Interestingly, comorbidities such as kidney, lung, and diabetes diseases as well as being a smoker may be diagnosed by the proposed method. As a powerful detection device, the breath sniffer can replace the conventional rapid test kits for medical applications. |
format | Online Article Text |
id | pubmed-9279257 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Elsevier B.V. |
record_format | MEDLINE/PubMed |
spelling | pubmed-92792572022-07-14 Mask assistance to colorimetric sniffers for detection of Covid-19 disease using exhaled breath metabolites Bordbar, Mohammad Mahdi Samadinia, Hosein Hajian, Ali Sheini, Azarmidokht Safaei, Elham Aboonajmi, Jasem Arduini, Fabiana Sharghi, Hashem Hashemi, Pegah Khoshsafar, Hosein Ghanei, Mostafa Bagheri, Hasan Sens Actuators B Chem Article According to World Health Organization reports, large numbers of people around the globe have been infected or died for Covid-19 due to the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Researchers are still trying to find a rapid and accurate diagnostic method for revealing infected people by low viral load with the overriding goal of effective diagnostic management. Monitoring the body metabolic changes is known as an effective and inexpensive approach for the evaluation of the infected people. Here, an optical sniffer is introduced to detect exhaled breath metabolites of patients with Covid-19 (60 samples), healthy humans (55 samples), and cured people (15 samples), providing a unique color pattern for differentiation between the studied samples. The sniffer device is installed on a thin face mask, and directly exposed to the exhaled breath stream. The interactions occurring between the volatile compounds and sensing components such as porphyrazines, modified organic dyes, porphyrins, inorganic complexes, and gold nanoparticles allowing for the change of the color, thus being tracked as the sensor responses. The assay accuracy for the differentiation between patient, healthy and cured samples is calculated to be in the range of 80%—84%. The changes in the color of the sensor have a linear correlation with the disease severity and viral load evaluated by rRT-PCR method. Interestingly, comorbidities such as kidney, lung, and diabetes diseases as well as being a smoker may be diagnosed by the proposed method. As a powerful detection device, the breath sniffer can replace the conventional rapid test kits for medical applications. Elsevier B.V. 2022-10-15 2022-07-14 /pmc/articles/PMC9279257/ /pubmed/35855726 http://dx.doi.org/10.1016/j.snb.2022.132379 Text en © 2022 Elsevier B.V. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Article Bordbar, Mohammad Mahdi Samadinia, Hosein Hajian, Ali Sheini, Azarmidokht Safaei, Elham Aboonajmi, Jasem Arduini, Fabiana Sharghi, Hashem Hashemi, Pegah Khoshsafar, Hosein Ghanei, Mostafa Bagheri, Hasan Mask assistance to colorimetric sniffers for detection of Covid-19 disease using exhaled breath metabolites |
title | Mask assistance to colorimetric sniffers for detection of Covid-19 disease using exhaled breath metabolites |
title_full | Mask assistance to colorimetric sniffers for detection of Covid-19 disease using exhaled breath metabolites |
title_fullStr | Mask assistance to colorimetric sniffers for detection of Covid-19 disease using exhaled breath metabolites |
title_full_unstemmed | Mask assistance to colorimetric sniffers for detection of Covid-19 disease using exhaled breath metabolites |
title_short | Mask assistance to colorimetric sniffers for detection of Covid-19 disease using exhaled breath metabolites |
title_sort | mask assistance to colorimetric sniffers for detection of covid-19 disease using exhaled breath metabolites |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9279257/ https://www.ncbi.nlm.nih.gov/pubmed/35855726 http://dx.doi.org/10.1016/j.snb.2022.132379 |
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