Sweat-Based Volatile Organic Compound Identification of SARS-CoV-2 Detection

firstₚage Download PDF settings Order Article Reprints Font Type: Arial Georgia Verdana Font Size: Aa Aa Aa Line Spacing:    Column Width:    Background: Open AccessAbstract Sweat-Based Volatile Organic Compound Identification of SARS-CoV-2 Detection † by Sorrawit SongsathitmethaSorrawit Songsathitmetha SciProfiles Scilit Preprints. org Google Scholar 1, Isaya ThaveesangsakulthaiIsaya Thaveesangsakulthai SciProfiles Scilit Preprints. org Google Scholar 2, *, Kaywalee ChatdarongKaywalee Chatdarong SciProfiles Scilit Preprints. org Google Scholar 3 and Chadin KulsingChadin Kulsing SciProfiles Scilit Preprints. org Google Scholar 2 1 Department of Pathology, Faculty of Veterinary Science, Chulalongkorn University, Bangkok 10330, Thailand 2 Department of Chemistry, Faculty of Science, Chulalongkorn University, Bangkok 10330, Thailand 3 Department of Obstetrics Gynaecology and Reproduction, Faculty of Veterinary Science, Chulalongkorn University, Bangkok 10330, Thailand * Author to whom correspondence should be addressed. † Presented at the 4th International Electronic Conference on Biosensors, 20–22 May 2024; Available online: https: //sciforum. net/event/IECB2024. Proceedings 2024, 104 (1), 38; https: //doi. org/10. 3390/proceedings2024104038 Published: 28 May 2024 (This article belongs to the Proceedings of The 4th International Electronic Conference on Biosensors) Download keyboardₐrrowdown Download PDF Download PDF with Cover Download XML Download Epub Versions Notes Keywords: COVID-19; VOCs; non-invasive sweat-based screening; HS-SPME/GC-MS Due to an outbreak of COVID-19 pandemic in recent years, the emerging variants of SARS-CoV-2 causing diagnostic challenges. The rapid, non-invasive diagnostic is an urgent need to differentiate between infected with asymptomatic or symptomatic individuals and uninfected with COVID-19 to control the silent virus spreading in the community. This research developed alternative method of detecting COVID-19, in these approaches mainly focused on volatile organic compound (VOCs) in armpit sweat samples derived from population in Thailand, during variants occurring between April 2021 to May 2023, including Delta and Omicron BA. 1/BA. 2. VOCs odor emission produced in response to inflammation and infection from SARS-CoV-2 infection body by Gerstel Multi-purpose sampler, headspace solid-phase microextraction coupled with gas chromatography-mass spectrometry (HS-SPME/GC-MS) technique with the total of 150 collected sweat samples with 75 negative confirmed COVID-19 and 75 positive confirmed COVID-19 cases (asymptomatic/symptomatic) used to identified potential biomarkers for COVID-19 related with peak areas of chromatogram results. The statistical analysis of ROC curves including classification rate indices of sensitivity, specificity and accuracy of the different potential markers for armpit sweat samples in GC-MS allowed potential VOCs biomarkers to discriminate the COVID-19 patients as nonanal and aromatic compounds (up to 92% sensitivity, 97% selectivity, and 96% specificity), respectively, and validated the results by comparison with the RT-PCR gold standard technique. Author ContributionsConceptualization, I. T. and K. C. ; methodology, I. T. and K. C. ; software, S. S. ; validation, I. T. , K. C. and S. S. ; formal analysis, C. K. ; investigation, S. S. , K. C. and C. K. ; resources, S. S. , K. C. and C. K. ; data curation, I. T. ; writing—original draft preparation, I. T. and S. S. ; writing—review and editing, I. T. and S. S. ; visualization, K. C. and C. K. ; supervision, S. S. and K. C. ; funding acquisition, K. C. All authors have read and agreed to the published version of the manuscript. FundingThis research was funded by Chevron Thailand Exploration and Production, Ltd. Institutional Review Board StatementThe study was conducted in accordance with the Declaration of Central Research Ethics Committee (COA-CREC103/2020), and approved by the Institutional Review Board at the Faculty of Medicine, Chulalongkorn University (897/63). Informed Consent StatementInformed consent was obtained from all subjects involved in the study. Data Availability StatementThe data that support the findings of this study are available on request from the corresponding author. The data are not publicly available due to privacy or ethical restrictions. Conflicts of InterestThe authors declare that this study received funding from Chevron Thailand Exploration and Production, Ltd. The funder had the following involvement with the study: K9 dogs sniff COVID-19 in Thailand. The authors declare that this study received funding from Chevron Thailand Exploration and Production, Ltd. The funder was not involved in the study design, collection, analysis, interpretation of data, the writing of this article or the decision to submit it for publication. Disclaimer/Publisher's Note: The statements, opinions and data contained in all publications are solely those of the individual author (s) and contributor (s) and not of MDPI and/or the editor (s). MDPI and/or the editor (s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content. © 2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https: //creativecommons. org/licenses/by/4. 0/). Share and Cite MDPI and ACS Style Songsathitmetha, S. ; Thaveesangsakulthai, I. ; Chatdarong, K. ; Kulsing, C. Sweat-Based Volatile Organic Compound Identification of SARS-CoV-2 Detection. Proceedings 2024, 104, 38. https: //doi. org/10. 3390/proceedings2024104038 AMA Style Songsathitmetha S, Thaveesangsakulthai I, Chatdarong K, Kulsing C. Sweat-Based Volatile Organic Compound Identification of SARS-CoV-2 Detection. Proceedings. 2024; 104 (1): 38. https: //doi. org/10. 3390/proceedings2024104038 Chicago/Turabian Style Songsathitmetha, Sorrawit, Isaya Thaveesangsakulthai, Kaywalee Chatdarong, and Chadin Kulsing. 2024. "Sweat-Based Volatile Organic Compound Identification of SARS-CoV-2 Detection" Proceedings 104, no. 1: 38. https: //doi. org/10. 3390/proceedings2024104038 Article Metrics No No Article Access Statistics Multiple requests from the same IP address are counted as one view.