Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/115022
PIRA download icon_1.1View/Download Full Text
DC FieldValueLanguage
dc.contributorDepartment of Applied Physics-
dc.creatorLiu, Y-
dc.creatorLao, XY-
dc.creatorWong, MC-
dc.creatorSong, ML-
dc.creatorZhao, YF-
dc.creatorMa, YJ-
dc.creatorBai, QQ-
dc.creatorHao, JH-
dc.date.accessioned2025-09-02T00:32:11Z-
dc.date.available2025-09-02T00:32:11Z-
dc.identifier.issn2311-6706-
dc.identifier.urihttp://hdl.handle.net/10397/115022-
dc.language.isoenen_US
dc.publisherSpringeren_US
dc.rights© The Author(s) 2025en_US
dc.rightsOpen Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.en_US
dc.rightsThe following publication Liu, Y., Lao, X., Wong, MC. et al. Intelligent Point-of-Care Biosensing Platform Based on Luminescent Nanoparticles and Microfluidic Biochip with Machine Vision Algorithm Analysis. Nano-Micro Lett. 17, 215 (2025) is available at https://dx.doi.org/10.1007/s40820-025-01745-w.en_US
dc.subjectPoint-of-careen_US
dc.subjectLuminescent nanoparticlesen_US
dc.subjectBiochipen_US
dc.subjectMachine visionen_US
dc.subjectBiosensingen_US
dc.titleIntelligent point-of-care biosensing platform based on luminescent nanoparticles and microfluidic biochip with machine vision algorithm analysisen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.volume17-
dc.identifier.doi10.1007/s40820-025-01745-w-
dcterms.abstractRealizing the point-of-care tumor markers biodetection with good convenience and high sensitivity possesses great significance for prompting cancer monitoring and screening in biomedical study field. Herein, the quantum dots luminescence and microfluidic biochip with machine vision algorithm-based intelligent biosensing platform have been designed and manufactured for point-of-care tumor markers diagnostics. The employed quantum dots with excellent photoluminescent performance are modified with specific antibody as the optical labeling agents for the designed sandwich structure immunoassay. The corresponding biosensing investigations of the designed biodetection platform illustrate several advantages involving high sensitivity (similar to 0.021 ng mL(-1)), outstanding accessibility, and great integrability. Moreover, related test results of human-sourced artificial saliva samples demonstrate better detection capabilities compared with commercially utilized rapid test strips. Combining these infusive abilities, our elaborate biosensing platform is expected to exhibit potential applications for the future point-of-care tumor markers diagnostic area.-
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationNano-micro letters, 2025, v. 17, 215-
dcterms.isPartOfNano-micro letters-
dcterms.issued2025-
dc.identifier.isiWOS:001466900400004-
dc.identifier.eissn2150-5551-
dc.identifier.artn215-
dc.description.validate202509 bcrc-
dc.description.oaVersion of Recorden_US
dc.identifier.FolderNumberOA_Scopus/WOSen_US
dc.description.fundingSourceRGCen_US
dc.description.fundingSourceOthersen_US
dc.description.fundingTextHong Kong Polytechnic Universityen_US
dc.description.pubStatusPublisheden_US
dc.description.oaCategoryCCen_US
Appears in Collections:Journal/Magazine Article
Files in This Item:
File Description SizeFormat 
s40820-025-01745-w.pdf1.81 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

WEB OF SCIENCETM
Citations

1
Citations as of Nov 20, 2025

Google ScholarTM

Check

Altmetric


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