Fluorescence spectrophotometry for COVID-19 determination in clinical swab samples

Autor: Kartika A. Madurani, Suprapto, Muhammad Yudha Syahputra, Ika Puspita, Abdul Hadi Furqoni, Listya Puspasari, Hafildatur Rosyidah, Agus Muhamad Hatta, Juniastuti, Maria Inge Lusida, Masato Tominaga, Fredy Kurniawan
Jazyk: angličtina
Rok vydání: 2022
Předmět:
Zdroj: Arabian Journal of Chemistry, Vol 15, Iss 8, Pp 104020- (2022)
Druh dokumentu: article
ISSN: 1878-5352
DOI: 10.1016/j.arabjc.2022.104020
Popis: Considering the limitations of the assays currently available for the detection of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and its emerging variants, a simple and rapid method using fluorescence spectrophotometry was developed to detect coronavirus disease 2019 (COVID-19). Forty clinical swab samples were collected from the nasopharyngeal and oropharyngeal cavities of COVID-19-positive and -negative. Each sample was divided into two parts. The first part of the samples was analyzed using reverse transcription-polymerase chain reaction (RT-qPCR) as the control method to identify COVID-19-positive and -negative samples. The second part of the samples was analyzed using fluorescence spectrophotometry. Fluorescence measurements were performed at excitation and emission wavelengths ranging from 200 to 800 nm. Twenty COVID-19-positive samples and twenty COVID-19-negative samples were detected based on RT-qPCR results. The fluorescence spectrum data indicated that the COVID-19-positive and -negative samples had significantly different characteristics. All positive samples could be distinguished from negative samples by fluorescence spectrophotometry. Principal component analysis showed that COVID-19-positive samples were clustered separately from COVID-19-negative samples. The specificity and accuracy of this experiment reached 100%. Limit of detection (LOD) obtained 42.20 copies/ml (Ct value of 33.65 cycles) for E gene and 63.60 copies/ml (Ct value of 31.36 cycles) for ORF1ab gene. This identification process only required 4 min. Thus, this technique offers an efficient and accurate method to identify an individual with active SARS-CoV-2 infection and can be easily adapted for the early investigation of COVID-19, in general.
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