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

5 Citations (Scopus)

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 - 2017

Fingerprint

Lab-On-A-Chip Devices
Microfluidics
Smartphones
Immunoassay
Light emitting diodes
Assays
Point-of-Care Systems
Light
Ultraviolet Rays
Limit of Detection
Stem Cells
Ultraviolet radiation
Escherichia coli
Blood
Demonstrations
Cameras
Detectors
Smartphone

Keywords

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

ASJC Scopus subject areas

  • Medical Laboratory Technology
  • Computer Science Applications

Cite this

Smartphone detection of UV LED-enhanced particle immunoassay on paper microfluidics. / Park, Tu San; Cho, Soohee; Nahapetian, Tigran G.; Yoon, Jeong-Yeol.

In: SLAS Technology, Vol. 22, No. 1, 2017, p. 7-12.

Research output: Contribution to journalArticle

Park, Tu San ; Cho, Soohee ; Nahapetian, Tigran G. ; Yoon, Jeong-Yeol. / Smartphone detection of UV LED-enhanced particle immunoassay on paper microfluidics. In: SLAS Technology. 2017 ; Vol. 22, No. 1. pp. 7-12.
@article{084668366a2b46b68deadb65b4f1a412,
title = "Smartphone detection of UV LED-enhanced particle immunoassay on paper microfluidics",
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.",
keywords = "CMOS camera, Escherichia coli, Light scatter, UVA, Whole blood",
author = "Park, {Tu San} and Soohee Cho and Nahapetian, {Tigran G.} and Jeong-Yeol Yoon",
year = "2017",
doi = "10.1177/2211068216639566",
language = "English (US)",
volume = "22",
pages = "7--12",
journal = "SLAS Technology",
issn = "2472-6303",
publisher = "Sage Publications",
number = "1",

}

TY - JOUR

T1 - Smartphone detection of UV LED-enhanced particle immunoassay on paper microfluidics

AU - Park, Tu San

AU - Cho, Soohee

AU - Nahapetian, Tigran G.

AU - Yoon, Jeong-Yeol

PY - 2017

Y1 - 2017

N2 - 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.

AB - 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.

KW - CMOS camera

KW - Escherichia coli

KW - Light scatter

KW - UVA

KW - Whole blood

UR - http://www.scopus.com/inward/record.url?scp=85014422417&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85014422417&partnerID=8YFLogxK

U2 - 10.1177/2211068216639566

DO - 10.1177/2211068216639566

M3 - Article

VL - 22

SP - 7

EP - 12

JO - SLAS Technology

JF - SLAS Technology

SN - 2472-6303

IS - 1

ER -