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An Optimized Colorimetric Readout Method for Lateral Flow Immunoassays
Despite its broad penetration of various markets, the quantitative lateral flow immunoassay (LFIA) suffers from sensitivity issues in some cases. To solve this problem, an optimized colorimetric readout method for LFIA quantification is proposed in this study. An assay reader device utilizing a colo...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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MDPI
2018
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6308745/ https://www.ncbi.nlm.nih.gov/pubmed/30469476 http://dx.doi.org/10.3390/s18124084 |
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author | Park, Jongwon |
author_facet | Park, Jongwon |
author_sort | Park, Jongwon |
collection | PubMed |
description | Despite its broad penetration of various markets, the quantitative lateral flow immunoassay (LFIA) suffers from sensitivity issues in some cases. To solve this problem, an optimized colorimetric readout method for LFIA quantification is proposed in this study. An assay reader device utilizing a color camera and an analysis method using a Bayer filtered image were developed. Spectrometric measurements of the assay test line were performed to determine the color channel that contains the test line information and effectively minimizes noise. The change in the intensity ratio with increasing concentration of the target substance in the sample was largest in the green channel. The linear range of the output curve ranged from 0 to 10 ng/mL, and the detection limit was 2 ng/mL. The suggested instrumentation and analysis methods are expected to effectively resolve the low-sensitivity problems of the former LFIA systems and to offer other prospective functionalities for LFIA quantification. |
format | Online Article Text |
id | pubmed-6308745 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-63087452019-01-04 An Optimized Colorimetric Readout Method for Lateral Flow Immunoassays Park, Jongwon Sensors (Basel) Article Despite its broad penetration of various markets, the quantitative lateral flow immunoassay (LFIA) suffers from sensitivity issues in some cases. To solve this problem, an optimized colorimetric readout method for LFIA quantification is proposed in this study. An assay reader device utilizing a color camera and an analysis method using a Bayer filtered image were developed. Spectrometric measurements of the assay test line were performed to determine the color channel that contains the test line information and effectively minimizes noise. The change in the intensity ratio with increasing concentration of the target substance in the sample was largest in the green channel. The linear range of the output curve ranged from 0 to 10 ng/mL, and the detection limit was 2 ng/mL. The suggested instrumentation and analysis methods are expected to effectively resolve the low-sensitivity problems of the former LFIA systems and to offer other prospective functionalities for LFIA quantification. MDPI 2018-11-22 /pmc/articles/PMC6308745/ /pubmed/30469476 http://dx.doi.org/10.3390/s18124084 Text en © 2018 by the author. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Park, Jongwon An Optimized Colorimetric Readout Method for Lateral Flow Immunoassays |
title | An Optimized Colorimetric Readout Method for Lateral Flow Immunoassays |
title_full | An Optimized Colorimetric Readout Method for Lateral Flow Immunoassays |
title_fullStr | An Optimized Colorimetric Readout Method for Lateral Flow Immunoassays |
title_full_unstemmed | An Optimized Colorimetric Readout Method for Lateral Flow Immunoassays |
title_short | An Optimized Colorimetric Readout Method for Lateral Flow Immunoassays |
title_sort | optimized colorimetric readout method for lateral flow immunoassays |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6308745/ https://www.ncbi.nlm.nih.gov/pubmed/30469476 http://dx.doi.org/10.3390/s18124084 |
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