Smartphone Detection of UV LED-Enhanced Particle Immunoassay on Paper Microfluidics
| dc.contributor.author | Park, Tu San | |
| dc.contributor.author | Cho, Soohee | |
| dc.contributor.author | Nahapetian, Tigran G. | |
| dc.contributor.author | Yoon, Jeong-Yeol | |
| dc.date.accessioned | 2017-04-07T19:38:10Z | |
| dc.date.available | 2017-04-07T19:38:10Z | |
| dc.date.issued | 2017-02 | |
| dc.identifier.citation | Smartphone Detection of UV LED-Enhanced Particle Immunoassay on Paper Microfluidics 2017, 22 (1):7 SLAS Technology | en |
| dc.identifier.issn | 2472-6303 | |
| dc.identifier.issn | 2472-6311 | |
| dc.identifier.doi | 10.1177/2211068216639566 | |
| dc.identifier.uri | http://hdl.handle.net/10150/623058 | |
| dc.description.abstract | Use 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.sponsorship | Seoul VioSys, Ansan, Gyeonggi, Republic of Korea; Richard A. Harvill graduate fellowship | en |
| dc.language.iso | en | en |
| dc.publisher | SLAS TECHNOLOGY | en |
| dc.relation.url | http://journals.sagepub.com/doi/10.1177/2211068216639566 | en |
| dc.rights | © 2016 Society for Laboratory Automation and Screening. | en |
| dc.rights.uri | http://rightsstatements.org/vocab/InC/1.0/ | |
| dc.subject | light scatter | en |
| dc.subject | Escherichia coli | en |
| dc.subject | whole blood | en |
| dc.subject | UVA | en |
| dc.subject | CMOS camera | en |
| dc.title | Smartphone Detection of UV LED-Enhanced Particle Immunoassay on Paper Microfluidics | en |
| dc.type | Article | en |
| dc.contributor.department | Department of Agricultural and Biosystems Engineering, University of Arizona | en |
| dc.contributor.department | Biomedical Engineering Graduate Interdisciplinary Program, University of Arizona | en |
| dc.identifier.journal | SLAS Technology | en |
| dc.description.collectioninformation | This 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.version | Final accepted manuscript | en |
| refterms.dateFOA | 2018-06-27T21:37:32Z | |
| html.description.abstract | Use 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. |
