Identification of coronavirus disease marker compounds in sweat with comprehensive two dimensional gas chromatography using multiloop splitter-based non-cryogenic artificial trapping modulation system-Reference-Cited by-同舟云学术

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Identification of coronavirus disease marker compounds in sweat with comprehensive two dimensional gas chromatography using multiloop splitter-based non-cryogenic artificial trapping modulation system

Published:2024-05 Issue: Volume:5 Page:100113
ISSN:2772-3917
Container-title:Journal of Chromatography Open
language:en
Short-container-title:Journal of Chromatography Open

Author:

Tungkijanansin Nuttanee,Giebelhaus Ryland T.,Schmidt Sheri A.,Nhujak Thumnoon,Chatdarong Kaywalee,Torvorapanit Pattama,Harynuk James J.^ORCID,Kulsing Chadin^ORCID

Publisher

Elsevier BV

Reference46 articles.

1. COVID-19 detection in CT and CXR images using deep learning models;Chouat;Biogerontology,2022

2. Deep learning for COVID-19 detection based on CT images;Zhao;Sci. Rep.,2021

3. COVID-19 detection in CT images with deep learning: a voting-based scheme and cross-datasets analysis;Silva;IMU,2020

4. Wearable devices for the detection of COVID-19;Ates;Nat. Electron.,2021

5. COVID-19 Tests and Collection Kits Authorized by the FDA: Infographic,2021

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A large scale study of portable sweat test sensor for accurate, non-invasive and rapid COVID-19 screening based on volatile compound marker detection;Scientific Reports;2024-08-30

2. Body Volatolome Sampling: Deciphering the Matrix for Improved Health Monitoring;2024 IEEE International Symposium on Olfaction and Electronic Nose (ISOEN);2024-05-12

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