Smartphone detection of UV LED-enhanced particle immunoassay on paper microfluidics

Tu San Park, Soohee Cho, Tigran G. Nahapetian, Jeong Yeol Yoon

Research output: Contribution to journalArticle

6 Scopus citations

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.

Original languageEnglish (US)
Pages (from-to)7-12
Number of pages6
JournalSLAS Technology
Volume22
Issue number1
DOIs
StatePublished - Jan 1 2017

Keywords

  • CMOS camera
  • Escherichia coli
  • Light scatter
  • UVA
  • Whole blood

ASJC Scopus subject areas

  • Computer Science Applications
  • Medical Laboratory Technology

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