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Smartphone-based image analysis for evaluation of magnetic textile solid phase extraction of colored compounds

Novel modern easily feasible methods for direct evaluation of a new, simple preconcentration analytical procedure have been developed. Two types of smartphone image analysis applications (ON Color Measure and Color Lab) were evaluated to obtain RGB and HSV color spaces data for the quantification of...

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Detalles Bibliográficos
Autores principales: Safarik, Ivo, Baldikova, Eva, Prochazkova, Jitka, Pospiskova, Kristyna
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6928281/
https://www.ncbi.nlm.nih.gov/pubmed/31890954
http://dx.doi.org/10.1016/j.heliyon.2019.e02995
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author Safarik, Ivo
Baldikova, Eva
Prochazkova, Jitka
Pospiskova, Kristyna
author_facet Safarik, Ivo
Baldikova, Eva
Prochazkova, Jitka
Pospiskova, Kristyna
author_sort Safarik, Ivo
collection PubMed
description Novel modern easily feasible methods for direct evaluation of a new, simple preconcentration analytical procedure have been developed. Two types of smartphone image analysis applications (ON Color Measure and Color Lab) were evaluated to obtain RGB and HSV color spaces data for the quantification of Magnetic textile solid phase extraction of colored compounds (e.g. water-soluble organic dyes). Both direct measurement of color spaces values via the smartphone camera and image analysis of the photograph can be used successfully. The obtained data were similar to those obtained by previously examined professional ImageJ software. The saturation (S) values of the HSV color space are directly proportional to the concentrations of the analyzed dye.
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spelling pubmed-69282812019-12-30 Smartphone-based image analysis for evaluation of magnetic textile solid phase extraction of colored compounds Safarik, Ivo Baldikova, Eva Prochazkova, Jitka Pospiskova, Kristyna Heliyon Article Novel modern easily feasible methods for direct evaluation of a new, simple preconcentration analytical procedure have been developed. Two types of smartphone image analysis applications (ON Color Measure and Color Lab) were evaluated to obtain RGB and HSV color spaces data for the quantification of Magnetic textile solid phase extraction of colored compounds (e.g. water-soluble organic dyes). Both direct measurement of color spaces values via the smartphone camera and image analysis of the photograph can be used successfully. The obtained data were similar to those obtained by previously examined professional ImageJ software. The saturation (S) values of the HSV color space are directly proportional to the concentrations of the analyzed dye. Elsevier 2019-12-18 /pmc/articles/PMC6928281/ /pubmed/31890954 http://dx.doi.org/10.1016/j.heliyon.2019.e02995 Text en © 2019 Published by Elsevier Ltd. http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Article
Safarik, Ivo
Baldikova, Eva
Prochazkova, Jitka
Pospiskova, Kristyna
Smartphone-based image analysis for evaluation of magnetic textile solid phase extraction of colored compounds
title Smartphone-based image analysis for evaluation of magnetic textile solid phase extraction of colored compounds
title_full Smartphone-based image analysis for evaluation of magnetic textile solid phase extraction of colored compounds
title_fullStr Smartphone-based image analysis for evaluation of magnetic textile solid phase extraction of colored compounds
title_full_unstemmed Smartphone-based image analysis for evaluation of magnetic textile solid phase extraction of colored compounds
title_short Smartphone-based image analysis for evaluation of magnetic textile solid phase extraction of colored compounds
title_sort smartphone-based image analysis for evaluation of magnetic textile solid phase extraction of colored compounds
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6928281/
https://www.ncbi.nlm.nih.gov/pubmed/31890954
http://dx.doi.org/10.1016/j.heliyon.2019.e02995
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