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Single-Image-Referenced Colorimetric Water Quality Detection Using a Smartphone
[Image: see text] In this paper, we present a smartphone platform for colorimetric water quality detection based on the use of built-in camera for capturing a single-use reference image. A custom-developed app processes this image for training and creates a reference model to be used later in real e...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Chemical Society
2018
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6641965/ https://www.ncbi.nlm.nih.gov/pubmed/31458756 http://dx.doi.org/10.1021/acsomega.8b00625 |
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author | Kılıç, Volkan Alankus, Gazihan Horzum, Nesrin Mutlu, Ali Y. Bayram, Abdullah Solmaz, Mehmet E. |
author_facet | Kılıç, Volkan Alankus, Gazihan Horzum, Nesrin Mutlu, Ali Y. Bayram, Abdullah Solmaz, Mehmet E. |
author_sort | Kılıç, Volkan |
collection | PubMed |
description | [Image: see text] In this paper, we present a smartphone platform for colorimetric water quality detection based on the use of built-in camera for capturing a single-use reference image. A custom-developed app processes this image for training and creates a reference model to be used later in real experimental conditions to calculate the concentration of the unknown solution. This platform has been tested on four different water quality colorimetric assays with various concentration levels, and results show that the presented platform provides approximately 100% accuracy for colorimetric assays with noticeable color difference. This portable, cost-effective, and user-friendly platform is promising for application in water quality monitoring. |
format | Online Article Text |
id | pubmed-6641965 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | American Chemical Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-66419652019-08-27 Single-Image-Referenced Colorimetric Water Quality Detection Using a Smartphone Kılıç, Volkan Alankus, Gazihan Horzum, Nesrin Mutlu, Ali Y. Bayram, Abdullah Solmaz, Mehmet E. ACS Omega [Image: see text] In this paper, we present a smartphone platform for colorimetric water quality detection based on the use of built-in camera for capturing a single-use reference image. A custom-developed app processes this image for training and creates a reference model to be used later in real experimental conditions to calculate the concentration of the unknown solution. This platform has been tested on four different water quality colorimetric assays with various concentration levels, and results show that the presented platform provides approximately 100% accuracy for colorimetric assays with noticeable color difference. This portable, cost-effective, and user-friendly platform is promising for application in water quality monitoring. American Chemical Society 2018-05-22 /pmc/articles/PMC6641965/ /pubmed/31458756 http://dx.doi.org/10.1021/acsomega.8b00625 Text en Copyright © 2018 American Chemical Society This is an open access article published under an ACS AuthorChoice License (http://pubs.acs.org/page/policy/authorchoice_termsofuse.html) , which permits copying and redistribution of the article or any adaptations for non-commercial purposes. |
spellingShingle | Kılıç, Volkan Alankus, Gazihan Horzum, Nesrin Mutlu, Ali Y. Bayram, Abdullah Solmaz, Mehmet E. Single-Image-Referenced Colorimetric Water Quality Detection Using a Smartphone |
title | Single-Image-Referenced Colorimetric Water Quality
Detection Using a Smartphone |
title_full | Single-Image-Referenced Colorimetric Water Quality
Detection Using a Smartphone |
title_fullStr | Single-Image-Referenced Colorimetric Water Quality
Detection Using a Smartphone |
title_full_unstemmed | Single-Image-Referenced Colorimetric Water Quality
Detection Using a Smartphone |
title_short | Single-Image-Referenced Colorimetric Water Quality
Detection Using a Smartphone |
title_sort | single-image-referenced colorimetric water quality
detection using a smartphone |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6641965/ https://www.ncbi.nlm.nih.gov/pubmed/31458756 http://dx.doi.org/10.1021/acsomega.8b00625 |
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