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Jongha, Won
인지 및 사회성 연구단
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Ultimate COVID-19 Detection Protocol Based on Saliva Sampling and qRT-PCR with Risk Probability Assessment

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Title
Ultimate COVID-19 Detection Protocol Based on Saliva Sampling and qRT-PCR with Risk Probability Assessment
Author(s)
Joungha Won; Kazan, Hasan Huseyin; Jea Kwon; Park, Myung Sun; Ergun, Mehmet Ali; Ozcan, Sureyya; Choi, Byung Yoon; Heo, Won Do; C. Justin Lee
Publication Date
2021-02
Journal
EXPERIMENTAL NEUROBIOLOGY, v.30, no.1, pp.13 - 31
Publisher
KOREAN SOC BRAIN & NEURAL SCIENCE, KOREAN SOC NEURODEGENERATIVE DISEASE
Abstract
In the era of COVID-19 outbreak, various efforts are undertaken to develop a quick, easy, inexpensive, and accurate way for diagnosis. Although many commercial diagnostic kits are available, detailed scientific evaluation is lacking, making the public vulnerable to fear of false-positive results. Moreover, current tissue sampling method from respiratory tract requires personal contact of medical staff with a potential asymptomatic SARS-COV-2 carrier and calls for safe and less invasive sampling method. Here, we have developed a convenient detection protocol for SARS-COV-2 based on a non-invasive saliva self-sampling method by extending our previous studies on development of a laboratory-safe and low-cost detection protocol based on qRT-PCR. We tested and compared various self-sampling methods of self-pharyngeal swab and self-saliva sampling from non-carrier volunteers. We found that the self-saliva sampling procedure gave expected negative results from all of the non-carrier volunteers within 2 hours, indicating cost-effectiveness, speed and reliability of the saliva-based method. For an automated assessment of the sampling quality and degree of positivity for COVID-19, we developed scalable formulae based on a logistic classification model using both cycle threshold and melting temperature from the qRT-PCR results. Our newly developed protocol will allow easy sampling and spatial-separation between patient and experimenter for guaranteed safety. Furthermore, our newly established risk assessment formula can be applied to a large-scale diagnosis in health institutions and agencies around the world.
URI
https://pr.ibs.re.kr/handle/8788114/9529
DOI
10.5607/en20063
ISSN
1226-2560
Appears in Collections:
Center for Cognition and Sociality(인지 및 사회성 연구단) > 1. Journal Papers (저널논문)
Center for Cognition and Sociality(인지 및 사회성 연구단) > Cognitive Glioscience Group(인지 교세포과학 그룹) > 1. Journal Papers (저널논문)
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