Please use this identifier to cite or link to this item: http://localhost:8080/xmlui/handle/123456789/9417
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dc.contributor.author-Yi Chung, Hsing-
dc.contributor.authorJr Jian, Ming--
dc.contributor.authorKai Chang, Chih--
dc.contributor.authorLin, Jung-Chung-
dc.contributor.author-Ming Yeh, Kuo-
dc.contributor.author-Wen Chen, Chien-
dc.date.accessioned2024-12-20T02:42:51Z-
dc.date.available2024-12-20T02:42:51Z-
dc.date.issued2022-12-01-
dc.identifier.issn1684-1182-
dc.identifier.urihttp://localhost:8080/xmlui/handle/123456789/9417-
dc.description.abstractAbstract Background/purpose: Mass screening for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is important to prevent the spread of coronavirus disease 2019 (COVID-19). Pooling samples can increase the number of tests processed. LabTurbo AIO 48 is an automated platform that allows ribonucleic acid extraction and sample analysis on the sameinstrument. We created a novel pooling assay on this platform for SARS-CoV-2 detection and demonstrated that the pooling strategy increases testing capacity without affecting accuracy and sensitivity. Methods: Comparative limit of detection (LoD) assessment was performed on the LabTurbo AIO 48 platform and the current standard detection system based on real-time reverse transcription polymerase chain reaction (rRT-PCR) using 55 clinically positive samples. An additional 330 primary clinical samples were assessed. Results: Six samples pooled into one reaction tube were detected in approximately 2.5 h using the World Health Organization rRT-PCR protocol. LabTurbo AIO 48 also demonstrated a higher throughput than our reference rRT-PCR assay, with an LoD of 1000 copies/mL. The overall percentage agreement between the methods for the 330 samples was 100%. Conclusion: We created a novel multi-specimen pooling assay using LabTurbo AIO 48 for the robust detection of SARS-CoV-2, allowing high-throughput results; this assay will aid in better control and prevention of COVID-19. The diagnostic assay was cost-effective and timeefficient; thus, the pooling strategy is a practical and effective method for diagnosing large quantities of specimens without compromising precisionen_US
dc.language.isoenen_US
dc.publisherElsevier Taiwan LLCen_US
dc.subjectSevere acute respiratory coronavirus 2;en_US
dc.subjectCoronavirus disease 2019;en_US
dc.subjectHigh throughput;en_US
dc.subjectPooled specimenen_US
dc.titleMulticenter study evaluating novel multispecimen pooling assay for the detection of SARS-CoV-2: High sensitivity and high throughput testingen_US
dc.typeArticleen_US
Appears in Collections:VOL 55 NO 6 Part 1 2022

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