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Simultaneous determination of some common food dyes in commercial products by digital image analysis

A simple and relatively fast image-analysis method using digital images, obtained with a flatbed scanner, has been described. The method was used for the simultaneous determination of four common food dyes, namely, carmoisine, brilliant blue, sunset yellow, and quinoline yellow, in binary mixtures i...

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Detalles Bibliográficos
Autores principales: Sorouraddin, Mohammad-Hossein, Saadati, Masoud, Mirabi, Fariba
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Taiwan Food and Drug Administration 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9351803/
https://www.ncbi.nlm.nih.gov/pubmed/28911702
http://dx.doi.org/10.1016/j.jfda.2014.10.007
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author Sorouraddin, Mohammad-Hossein
Saadati, Masoud
Mirabi, Fariba
author_facet Sorouraddin, Mohammad-Hossein
Saadati, Masoud
Mirabi, Fariba
author_sort Sorouraddin, Mohammad-Hossein
collection PubMed
description A simple and relatively fast image-analysis method using digital images, obtained with a flatbed scanner, has been described. The method was used for the simultaneous determination of four common food dyes, namely, carmoisine, brilliant blue, sunset yellow, and quinoline yellow, in binary mixtures in commercial products without a need for any prior separation steps. The results obtained were validated against a standard high-performance liquid chromatography method and a good agreement was obtained. The parameters affecting the experimental results were optimized. Under the optimal conditions, the method provided acceptable linear ranges (20–250 mg/L) with correlation coefficients higher than 0.998, suitable precision (relative standard deviation ≤ 4.5%), and limits of detection between 4.82 and 8.05 mg/L.
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spelling pubmed-93518032022-08-09 Simultaneous determination of some common food dyes in commercial products by digital image analysis Sorouraddin, Mohammad-Hossein Saadati, Masoud Mirabi, Fariba J Food Drug Anal Original Article A simple and relatively fast image-analysis method using digital images, obtained with a flatbed scanner, has been described. The method was used for the simultaneous determination of four common food dyes, namely, carmoisine, brilliant blue, sunset yellow, and quinoline yellow, in binary mixtures in commercial products without a need for any prior separation steps. The results obtained were validated against a standard high-performance liquid chromatography method and a good agreement was obtained. The parameters affecting the experimental results were optimized. Under the optimal conditions, the method provided acceptable linear ranges (20–250 mg/L) with correlation coefficients higher than 0.998, suitable precision (relative standard deviation ≤ 4.5%), and limits of detection between 4.82 and 8.05 mg/L. Taiwan Food and Drug Administration 2015-01-03 /pmc/articles/PMC9351803/ /pubmed/28911702 http://dx.doi.org/10.1016/j.jfda.2014.10.007 Text en © 2015 Taiwan Food and Drug Administration https://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/ (https://creativecommons.org/licenses/by-nc-nd/4.0/) ).
spellingShingle Original Article
Sorouraddin, Mohammad-Hossein
Saadati, Masoud
Mirabi, Fariba
Simultaneous determination of some common food dyes in commercial products by digital image analysis
title Simultaneous determination of some common food dyes in commercial products by digital image analysis
title_full Simultaneous determination of some common food dyes in commercial products by digital image analysis
title_fullStr Simultaneous determination of some common food dyes in commercial products by digital image analysis
title_full_unstemmed Simultaneous determination of some common food dyes in commercial products by digital image analysis
title_short Simultaneous determination of some common food dyes in commercial products by digital image analysis
title_sort simultaneous determination of some common food dyes in commercial products by digital image analysis
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9351803/
https://www.ncbi.nlm.nih.gov/pubmed/28911702
http://dx.doi.org/10.1016/j.jfda.2014.10.007
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