Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/116938
PIRA download icon_1.1View/Download Full Text
DC FieldValueLanguage
dc.contributorDepartment of Industrial and Systems Engineering-
dc.creatorLi, LCW-
dc.creatorTai, DMS-
dc.creatorYee, A-
dc.creatorTsui, NBY-
dc.creatorTsang, PYL-
dc.creatorChu, SLH-
dc.creatorLeung, CT-
dc.creatorLeung, BKW-
dc.creatorWong, W-
dc.creatorKebede, FT-
dc.creatorLeung, PYM-
dc.creatorChung, T-
dc.creatorYip, CCY-
dc.creatorChen, JHK-
dc.creatorPoon, RWS-
dc.creatorTo, KKW-
dc.creatorYuen, KY-
dc.creatorFok, M-
dc.creatorLau, JYN-
dc.creatorLau, LT-
dc.date.accessioned2026-01-21T03:54:08Z-
dc.date.available2026-01-21T03:54:08Z-
dc.identifier.urihttp://hdl.handle.net/10397/116938-
dc.language.isoenen_US
dc.publisherMDPI AGen_US
dc.rightsCopyright: © 2025 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).en_US
dc.rightsThe following publication Li, L. C. W., Tai, D. M. S., Yee, A., Tsui, N. B. Y., Tsang, P. Y. L., Chu, S. L. H., Leung, C. T., Leung, B. K. W., Wong, W., Kebede, F. T., Leung, P. Y. M., Chung, T., Yip, C. C. Y., Chen, J. H. K., Poon, R. W. S., To, K. K. W., Yuen, K.-Y., Fok, M., Lau, J. Y. N., & Lau, L. T. (2025). Laboratory Validation of a Fully Automated Point-of-Care Device for High-Order Multiplexing Real-Time PCR Detection of Respiratory Pathogens. Diagnostics, 15(19), 2445 is available at https://doi.org/10.3390/diagnostics15192445.en_US
dc.subjectAutomated genetic pathogen testen_US
dc.subjectMultiplex real-time RT-PCRen_US
dc.subjectPathogen detectionen_US
dc.subjectPoint-of-care systemen_US
dc.subjectRespiratory tract infectionen_US
dc.titleLaboratory validation of a fully automated point-of-care device for high-order multiplexing real-time PCR detection of respiratory pathogensen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.volume15-
dc.identifier.issue19-
dc.identifier.doi10.3390/diagnostics15192445-
dcterms.abstractBackground/Objectives: We have previously reported the engineering of a point-of-care (POC) system that fully automates the procedures for nucleic acid extraction and multiplexed real-time RT-PCR, with a major advantage of high-level multiplexing. In this study, we applied and validated the system in a respiratory tract infection setting.-
dcterms.abstractMethods: An automatic nested real-time RT-PCR assay was developed (POCm). It was a 40-plex assay that simultaneously detected 39 epidemiologically important respiratory pathogens in 1.5 h in the POC system. The analytical and clinical performance was evaluated.-
dcterms.abstractResults: The analytical sensitivities of the POCm assay were comparable to those of its single-plex counterparts performed manually on a bench-top. The minimum detectable concentrations ranged from 53 copies/mL to 5.3 × 103 copies/mL for all pathogen targets except hCoV-NL63 (5.3 × 104 copies/mL). The quantitative performance was demonstrated by the linear correlations between Ct values and input concentrations for all pathogen targets, with 24 of them demonstrating coefficients of correlation (r) greater than 0.9. The POCm assay was subsequently evaluated in 283 clinical samples. A high level of agreement (98.2–100%) was achieved for pathogen detection results between POCm and standard diagnostic methods. The POCm result was also fully concordant with the result of another commercial POC multiplex platform. For positive clinical samples, pairwise Ct values measured by POCm closely correlated with those of the bench-top reference method (r = 0.70). The feasibility of mutation genotyping of the viral subtype was further demonstrated.-
dcterms.abstractConclusions: This study demonstrated the practicality of POCm for routine testing in clinical laboratories. Further clinical trials are being conducted to evaluate the clinical performance of the system.-
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationDiagnostics, Oct. 2025, v. 15, no. 19, 2445-
dcterms.isPartOfDiagnostics-
dcterms.issued2025-10-
dc.identifier.scopus2-s2.0-105019249910-
dc.identifier.eissn2075-4418-
dc.identifier.artn2445-
dc.description.validate202601 bcch-
dc.description.oaVersion of Recorden_US
dc.identifier.FolderNumberOA_Scopus/WOSen_US
dc.description.fundingSourceRGCen_US
dc.description.fundingSourceOthersen_US
dc.description.fundingTextThis work was supported by the grants from Midstream Research Programme for Universities (MRP/040/20X), Public Sector Trial Scheme (SST/031/20GP) and Health@InnoHK, all were from Innovation and Technology Commission, The Government of Hong Kong Special Administrative Region, RGC-TRS (T11-709/21-N), The Government of Hong Kong Special Administrative Region, and private donations to The Hong Kong Polytechnic University directed to this project (ZJMA).en_US
dc.description.pubStatusPublisheden_US
dc.description.oaCategoryCCen_US
Appears in Collections:Journal/Magazine Article
Files in This Item:
File Description SizeFormat 
diagnostics-15-02445.pdf1.17 MBAdobe PDFView/Open
Open Access Information
Status open access
File Version Version of Record
Access
View full-text via PolyU eLinks SFX Query
Show simple item record

SCOPUSTM   
Citations

1
Citations as of Apr 3, 2026

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.