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  5. Sustainable and fast saliva-based COVID-19 virus diagnosis kit using a novel GO-decorated Au/FBG sensor

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Article
English
2020

Sustainable and fast saliva-based COVID-19 virus diagnosis kit using a novel GO-decorated Au/FBG sensor

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English
2020
Chemical Engineering Journal
Vol 420
DOI: 10.1016/j.cej.2020.127655

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Mohd Hafiz Dzarfan Othman
Mohd Hafiz Dzarfan Othman

Universiti Teknologi Malaysia

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Alireza Samavati
Zahra Samavati
Mohammad Velashjerdi
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Abstract

Monitoring the COVID-19 virus through patients’ saliva is a favorable non-invasive specimen for diagnosis and infection control. In this study, salivary samples of COVID-19 patients collected from 6 patients with the median age of 58.5 years, ranging from 34 to 72 years (2 females and 4 males) were analyzed using an Au/fiber Bragg grating (FBG) probe decorated with GO. The probe measures the prevalence of positivity in saliva and the association between the virus density and changes to sensing elements. When the probe is immersed in patients’ saliva, deviation of the detected light wavelength and intensity from healthy saliva indicate the presence of the virus and confirms infection. For a patient in the hyperinflammatory phase of desease, who has virus density of 1.2 × 108 copies/mL in saliva, the maximum wavelength shift and intensity changes after 1600 s were shown to be 1.12 nm and 2.01 dB, respectively. While for a patient in the early infection phase with 1.6 × 103 copies/mL, these values were 0.98 nm and 1.32 dB. The precise and highly sensitive FBG probe proposed in this study was found a reliable tool for quick detection of the COVID-19 virus within 10 s after exposure to patients’ saliva in any stage of the disease.

How to cite this publication

Alireza Samavati, Zahra Samavati, Mohammad Velashjerdi, Ahmad Fauzi Ismail, Mohd Hafiz Dzarfan Othman, G. Eisaabadi B., Mohd Sohaimi Abdullah, Marzieh Bolurian, Mohammadreza Bolurian (2020). Sustainable and fast saliva-based COVID-19 virus diagnosis kit using a novel GO-decorated Au/FBG sensor. Chemical Engineering Journal, 420, pp. 127655-127655, DOI: 10.1016/j.cej.2020.127655.

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Publication Details

Type

Article

Year

2020

Authors

9

Datasets

0

Total Files

0

Language

English

Journal

Chemical Engineering Journal

DOI

10.1016/j.cej.2020.127655

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