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A rapid and label-free DNA-based interference reduction nucleic acid amplification strategy for viral RNA detection.
Chen, Feng; Li, Guodong; Wu, Chun; Wang, Wanhe; Ma, Dik-Lung; Leung, Chung-Hang.
  • Chen F; State Key Laboratory of Quality Research in Chinese Medicine, Institute of Chinese Medical Sciences, University of Macau, Taipa, Macao SAR, China.
  • Li G; State Key Laboratory of Quality Research in Chinese Medicine, Institute of Chinese Medical Sciences, University of Macau, Taipa, Macao SAR, China.
  • Wu C; Department of Chemistry, Hong Kong Baptist University, Kowloon Tong, Hong Kong SAR, China.
  • Wang W; Department of Chemistry, Hong Kong Baptist University, Kowloon Tong, Hong Kong SAR, China; Institute of Medical Research, Northwestern Polytechnical University, Xi'an, Shaanxi, China.
  • Ma DL; Department of Chemistry, Hong Kong Baptist University, Kowloon Tong, Hong Kong SAR, China. Electronic address: edmondma@hkbu.edu.hk.
  • Leung CH; State Key Laboratory of Quality Research in Chinese Medicine, Institute of Chinese Medical Sciences, University of Macau, Taipa, Macao SAR, China; Department of Biomedical Sciences, Faculty of Health Sciences, University of Macau, Taipa, Macao SAR, China. Electronic address: duncanleung@um.edu.mo.
Biosens Bioelectron ; 198: 113829, 2022 Feb 15.
Article in English | MEDLINE | ID: covidwho-1525700
ABSTRACT
Common reference methods for COVID-19 diagnosis include thermal cycling amplification (e.g. RT-PCR) and isothermal amplification methods (e.g. LAMP and RPA). However, they may not be suitable for direct detection in environmental and biological samples due to background signal interference. Here, we report a rapid and label-free interference reduction nucleic acid amplification strategy (IR-NAAS) that exploits the advantages of luminescent iridium(III) probes, time-resolved emission spectroscopy (TRES) and multi-branch rolling circle amplification (mbRCA). Using IR-NAAS, we established a luminescence approach for diagnosing COVID-19 RNAs sequences RdRp, ORF1ab and N with a linear range of 0.06-6.0 × 105 copies/mL and a detection limit of down to 7.3 × 104 copies/mL. Moreover, the developed method was successfully applied to detect COVID-19 RNA sequences from various environmental and biological samples, such as domestic sewage, and mice urine, blood, feces, lung tissue, throat and nasal secretions. Apart from COVID-19 diagnosis, IR-NAAS was also demonstrated for detecting other RNA viruses, such as H1N1 and CVA10, indicating that this approach has great potential approach for routine preliminary viral detection.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Biosensing Techniques / Influenza A Virus, H1N1 Subtype / COVID-19 Type of study: Diagnostic study Limits: Animals / Humans Language: English Journal: Biosens Bioelectron Journal subject: Biotechnology Year: 2022 Document Type: Article Affiliation country: J.bios.2021.113829

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Biosensing Techniques / Influenza A Virus, H1N1 Subtype / COVID-19 Type of study: Diagnostic study Limits: Animals / Humans Language: English Journal: Biosens Bioelectron Journal subject: Biotechnology Year: 2022 Document Type: Article Affiliation country: J.bios.2021.113829