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Fluorescence spectrophotometry for COVID-19 determination in clinical swab samples.
Madurani, Kartika A; Yudha Syahputra, Muhammad; Puspita, Ika; Furqoni, Abdul Hadi; Puspasari, Listya; Rosyidah, Hafildatur; Hatta, Agus Muhamad; Lusida, Maria Inge; Tominaga, Masato; Kurniawan, Fredy.
  • Madurani KA; Laboratory of Instrumentation and Analytical Science, Chemistry Department, Faculty of Science and Data Analytics, Institut Teknologi Sepuluh Nopember, Surabaya 60111, Indonesia.
  • Suprapto; Laboratory of Instrumentation and Analytical Science, Chemistry Department, Faculty of Science and Data Analytics, Institut Teknologi Sepuluh Nopember, Surabaya 60111, Indonesia.
  • Yudha Syahputra M; Laboratory of Instrumentation and Analytical Science, Chemistry Department, Faculty of Science and Data Analytics, Institut Teknologi Sepuluh Nopember, Surabaya 60111, Indonesia.
  • Puspita I; Photonics Engineering Laboratory, Department of Engineering Physics, Faculty of Industrial Technology and Systems Engineering, Institut Teknologi Sepuluh Nopember, Surabaya 60111, Indonesia.
  • Furqoni AH; Human Genetic Laboratory, Institute of Tropical Disease, Airlangga University, Surabaya 60115, Indonesia.
  • Puspasari L; Laboratory of Instrumentation and Analytical Science, Chemistry Department, Faculty of Science and Data Analytics, Institut Teknologi Sepuluh Nopember, Surabaya 60111, Indonesia.
  • Rosyidah H; Laboratory of Instrumentation and Analytical Science, Chemistry Department, Faculty of Science and Data Analytics, Institut Teknologi Sepuluh Nopember, Surabaya 60111, Indonesia.
  • Hatta AM; Photonics Engineering Laboratory, Department of Engineering Physics, Faculty of Industrial Technology and Systems Engineering, Institut Teknologi Sepuluh Nopember, Surabaya 60111, Indonesia.
  • Juniastuti; Faculty of Medicine, Airlangga University, Surabaya 60131, Indonesia.
  • Lusida MI; Institute of Tropical Disease, Airlangga University, Surabaya 60115, Indonesia.
  • Tominaga M; Faculty of Medicine, Airlangga University, Surabaya 60131, Indonesia.
  • Kurniawan F; Institute of Tropical Disease, Airlangga University, Surabaya 60115, Indonesia.
Arab J Chem ; 15(8): 104020, 2022 Aug.
Article in English | MEDLINE | ID: covidwho-1866878
ABSTRACT
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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Full text: Available Collection: International databases Database: MEDLINE Type of study: Diagnostic study / Prognostic study Topics: Variants Language: English Journal: Arab J Chem Year: 2022 Document Type: Article Affiliation country: J.arabjc.2022.104020

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Full text: Available Collection: International databases Database: MEDLINE Type of study: Diagnostic study / Prognostic study Topics: Variants Language: English Journal: Arab J Chem Year: 2022 Document Type: Article Affiliation country: J.arabjc.2022.104020