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dc.contributor.authorPark, Tu San
dc.contributor.authorCho, Soohee
dc.contributor.authorNahapetian, Tigran G.
dc.contributor.authorYoon, Jeong-Yeol
dc.date.accessioned2017-04-07T19:38:10Z
dc.date.available2017-04-07T19:38:10Z
dc.date.issued2017-02
dc.identifier.citationSmartphone Detection of UV LED-Enhanced Particle Immunoassay on Paper Microfluidics 2017, 22 (1):7 SLAS Technologyen
dc.identifier.issn2472-6303
dc.identifier.issn2472-6311
dc.identifier.doi10.1177/2211068216639566
dc.identifier.urihttp://hdl.handle.net/10150/623058
dc.description.abstractUse of a smartphone as an optical detector for paper microfluidic devices has recently gained substantial attention due to its simplicity, ease of use, and handheld capability. Utilization of a UV light source enhances the optical signal intensities, especially for the particle immunoagglutination assay that has typically used visible or ambient light. Such enhancement is essential for true assimilation of assays to field deployable and point-of-care applications by greatly reducing the effects by independent environmental factors. This work is the first demonstration of using a UV LED (UVA) to enhance the Mie scatter signals from the particle immunoagglutination assay on the paper microfluidic devices and subsequent smartphone detection. Smartphone's CMOS camera can recognize the UVA scatter from the paper microfluidic channels efficiently in its green channel. For an Escherichia coli assay, the normalized signal intensities increased up to 50% from the negative signal with UV LED, compared with the 4% to 7% with ambient light. Detection limit was 10 colony-forming units/mL. Similar results were obtained in the presence of 10% human whole blood.
dc.description.sponsorshipSeoul VioSys, Ansan, Gyeonggi, Republic of Korea; Richard A. Harvill graduate fellowshipen
dc.language.isoenen
dc.publisherSLAS TECHNOLOGYen
dc.relation.urlhttp://journals.sagepub.com/doi/10.1177/2211068216639566en
dc.rights© 2016 Society for Laboratory Automation and Screening.en
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/
dc.subjectlight scatteren
dc.subjectEscherichia colien
dc.subjectwhole blooden
dc.subjectUVAen
dc.subjectCMOS cameraen
dc.titleSmartphone Detection of UV LED-Enhanced Particle Immunoassay on Paper Microfluidicsen
dc.typeArticleen
dc.contributor.departmentDepartment of Agricultural and Biosystems Engineering, University of Arizonaen
dc.contributor.departmentBiomedical Engineering Graduate Interdisciplinary Program, University of Arizonaen
dc.identifier.journalSLAS Technologyen
dc.description.collectioninformationThis item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.en
dc.eprint.versionFinal accepted manuscripten
refterms.dateFOA2018-06-27T21:37:32Z
html.description.abstractUse of a smartphone as an optical detector for paper microfluidic devices has recently gained substantial attention due to its simplicity, ease of use, and handheld capability. Utilization of a UV light source enhances the optical signal intensities, especially for the particle immunoagglutination assay that has typically used visible or ambient light. Such enhancement is essential for true assimilation of assays to field deployable and point-of-care applications by greatly reducing the effects by independent environmental factors. This work is the first demonstration of using a UV LED (UVA) to enhance the Mie scatter signals from the particle immunoagglutination assay on the paper microfluidic devices and subsequent smartphone detection. Smartphone's CMOS camera can recognize the UVA scatter from the paper microfluidic channels efficiently in its green channel. For an Escherichia coli assay, the normalized signal intensities increased up to 50% from the negative signal with UV LED, compared with the 4% to 7% with ambient light. Detection limit was 10 colony-forming units/mL. Similar results were obtained in the presence of 10% human whole blood.


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