Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/106128
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dc.contributorDepartment of Industrial and Systems Engineeringen_US
dc.creatorTsang, PYLen_US
dc.creatorChu, SLHen_US
dc.creatorLi, LCWen_US
dc.creatorTai, DMSen_US
dc.creatorCheung, BKCen_US
dc.creatorKebede, FTen_US
dc.creatorLeung, PYMen_US
dc.creatorWong, Wen_US
dc.creatorChung, Ten_US
dc.creatorYip, CCYen_US
dc.creatorPoon, RWSen_US
dc.creatorChen, JHKen_US
dc.creatorYuen, KYen_US
dc.creatorFok, Men_US
dc.creatorLau, JYNen_US
dc.creatorLau, LTen_US
dc.date.accessioned2024-05-03T00:45:21Z-
dc.date.available2024-05-03T00:45:21Z-
dc.identifier.urihttp://hdl.handle.net/10397/106128-
dc.language.isoenen_US
dc.publisherInstitute of Electrical and Electronics Engineersen_US
dc.rightsThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.en_US
dc.rightsFor more information, see https://creativecommons.org/licenses/by-nc-nd/4.0/en_US
dc.rightsThe following publication P. Y. L. Tsang et al., "Automated System for Multiplexing Detection of COVID-19 and Other Respiratory Pathogens," in IEEE Journal of Translational Engineering in Health and Medicine, vol. 11, pp. 424-434, 2023 is available at https://dx.doi.org/10.1109/JTEHM.2022.3230716.en_US
dc.subjectAutomationen_US
dc.subjectBiochemistryen_US
dc.subjectCOVID-19en_US
dc.subjectClinical diagnosisen_US
dc.subjectGenomicsen_US
dc.subjectMicrofluidicsen_US
dc.subjectPolymerase chain reaction (PCR)en_US
dc.titleAutomated system for multiplexing detection of COVID-19 and other respiratory pathogensen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.spage424en_US
dc.identifier.epage434en_US
dc.identifier.volume11en_US
dc.identifier.doi10.1109/JTEHM.2022.3230716en_US
dcterms.abstractObjective: Infectious diseases are global health challenge, impacted the communities worldwide particularly in the midst of COVID-19 pandemic. The need of rapid and accurate automated systems for detecting pathogens of concern has always been critical. Ideally, such systems shall detect a large panel of pathogens simultaneously regardless of well-equipped facilities and highly trained operators, thus realizing on-site diagnosis for frontline healthcare providers and in critical locations such as borders and airports. Methods & Results: Avalon Automated Multiplex System, AAMST, is developed to automate a series of biochemistry protocols to detect nucleic acid sequences from multiple pathogens in one test. Automated processes include isolation of nucleic acids from unprocessed samples, reverse transcription and two rounds of amplifications. All procedures are carried out in a microfluidic cartridge performed by a desktop analyzer. The system was validated with reference controls and showed good agreement with their laboratory counterparts. In total 63 clinical samples, 13 positives including those from COVID-19 patients and 50 negative cases were detected, consistent with clinical diagnosis using conventional laboratory methods. Conclusions: The proposed system has demonstrated promising utility. It would benefit the screening and diagnosis of COVID-19 and other infectious diseases in a simple, rapid and accurate fashion. Clinical and Translational Impact Statement- A rapid and multiplex diagnostic system proposed in this work can clinically help to control spread of COVID-19 and other infectious agents as it can provide timely diagnosis, isolation and treatment to patients. Using the system at remoted clinical sites can facilitate early clinical management and surveillance.en_US
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationIEEE journal of translational engineering in health and medicine, 2023, v. 11, p. 424-434en_US
dcterms.isPartOfIEEE journal of translational engineering in health and medicineen_US
dcterms.issued2023-
dc.identifier.isiWOS:001028948600001-
dc.identifier.eissn2168-2372en_US
dc.description.validate202405 bcrcen_US
dc.description.oaVersion of Recorden_US
dc.identifier.FolderNumberOA_Scopus/WOS-
dc.description.fundingSourceOthersen_US
dc.description.fundingTextInnovation and Technology Fund (ITF) of the Hong Kong, Special Administrative Region of China (HKSAR) Governmenten_US
dc.description.fundingTextPublic Sector Trial Scheme (PSTS)en_US
dc.description.fundingTextMidstream Research Programme for Universities (MRP)en_US
dc.description.fundingTextHealth@InnoHKen_US
dc.description.pubStatusPublisheden_US
dc.description.oaCategoryCCen_US
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