2020
DOI: 10.1007/s12250-020-00218-1
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Development of a Novel Reverse Transcription Loop-Mediated Isothermal Amplification Method for Rapid Detection of SARS-CoV-2

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Cited by 139 publications
(138 citation statements)
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“…One promising POCT method, LAMP, has been used for the detection of various pathogens because of its high sensitivity, rapid reaction speed, relatively simple operation, and visual determination capability [14,15,22,23]. We recently upgraded the LAMP method to a mismatch-tolerant version [14,15].…”
Section: Discussionmentioning
confidence: 99%
“…One promising POCT method, LAMP, has been used for the detection of various pathogens because of its high sensitivity, rapid reaction speed, relatively simple operation, and visual determination capability [14,15,22,23]. We recently upgraded the LAMP method to a mismatch-tolerant version [14,15].…”
Section: Discussionmentioning
confidence: 99%
“…Lu et al tested their LAMP-based detection method with spiked-in SARS-CoV-2 RNA and were able to detect a colorimetric change indicating a positive result after just 40 minutes of amplification, with sensitivity down to 30 viral RNA copies per reaction (Lu et al 2020b). They and others have demonstrated that LAMP detection of SARS-CoV-2 is specific by showing no cross-reactivity to other respiratory pathogens including human coronavirus strains HCoV-OC43 and HCoV-229E (Lu et al 2020b;Park et al 2020). Zhang, et al have shown that their LAMP strategy gives results that match the RT-PCR standard test in COVID-19 positive patient samples, reporting 100% sensitivity and specificity.…”
Section: Isothermal Amplificationmentioning
confidence: 99%
“…In summary, it is well-established that LAMP is a stable and rapidly deployable approach with sensitivity profile surpassing the PCR [10,14,15]. Recently, several LAMP assays for the detection of SARS-CoV-2 have been reported and showed promising data [16][17][18][19][20][21][22][23]. In the present study, we report a novel SARS-CoV-2 dual gene RT-LAMP assay and its preliminary evaluation on "real-world" cases.…”
Section: Introductionmentioning
confidence: 94%