Analysis of apparent amylose content of market milled rice via digital image photometry using a smartphone camera

Apparent amylose content (AC) of market milled rice was analyzed through digital image photometry (DIP) utilizing a smartphone camera and a free-access software (ImageJ). The DIP-AC method was validated using seven test samples and applied to a set of 17 commercially available milled rices varying i...

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Autores principales:	Arvin Paul P. Tuaño, Gabrielle A. Castrillo, Gabriel Angelo V. Viola
Formato:	article
Lenguaje:	EN
Publicado:	Elsevier 2021
Materias:	Apparent amylose content Digital image photometry ImageJ Milled rice Non-waxy RGB values Nutrition. Foods and food supply TX341-641 Food processing and manufacture TP368-456
Acceso en línea:	https://doaj.org/article/d2f73ba2158a4f01bb9d6e7a103baba6
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spelling	oai:doaj.org-article:d2f73ba2158a4f01bb9d6e7a103baba62021-12-02T05:03:40ZAnalysis of apparent amylose content of market milled rice via digital image photometry using a smartphone camera2665-927110.1016/j.crfs.2021.11.011https://doaj.org/article/d2f73ba2158a4f01bb9d6e7a103baba62021-01-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S2665927121001003https://doaj.org/toc/2665-9271Apparent amylose content (AC) of market milled rice was analyzed through digital image photometry (DIP) utilizing a smartphone camera and a free-access software (ImageJ). The DIP-AC method was validated using seven test samples and applied to a set of 17 commercially available milled rices varying in AC. A light box was constructed to accommodate a cuvette and a smartphone while ImageJ was used for digital image analysis towards quantifying AC. Smartphone camera settings were also optimized using the red, green, and blue (RGB) values of the digital images of amylose-iodine blue solutions. ISO 100 combined with shutter speed 1/640 was the optimum and most suitable settings combination when B values were used to generate calibration curves yielding a high degree of linearity (r = 0.995–0.998). Validation showed the DIP-AC method to be accurate based on the conventional ultraviolet–visible (UV-vis) spectrophotometric AC assay. It was also found to be repeatable and precise for non-waxy rice samples only, yielding RSD values below 7% among all replications made within one day and across different days. With the optimized DIP-AC assay, limits of detection and quantitation of AC that is capable of iodine binding at alkaline pH and influencing cooked rice texture, were 0.2% and 0.4% (milled rice basis at 12–14% moisture), respectively. The reported DIP-AC method can be a reliable and accurate assay for determining AC of non-waxy milled rice alternative to UV–vis spectrophotometry. Further refinement of the DIP-AC method is warranted to improve precision in measuring AC of milled waxy rice.Arvin Paul P. TuañoGabrielle A. CastrilloGabriel Angelo V. ViolaElsevierarticleApparent amylose contentDigital image photometryImageJMilled riceNon-waxyRGB valuesNutrition. Foods and food supplyTX341-641Food processing and manufactureTP368-456ENCurrent Research in Food Science, Vol 4, Iss , Pp 852-861 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Apparent amylose content Digital image photometry ImageJ Milled rice Non-waxy RGB values Nutrition. Foods and food supply TX341-641 Food processing and manufacture TP368-456
spellingShingle	Apparent amylose content Digital image photometry ImageJ Milled rice Non-waxy RGB values Nutrition. Foods and food supply TX341-641 Food processing and manufacture TP368-456 Arvin Paul P. Tuaño Gabrielle A. Castrillo Gabriel Angelo V. Viola Analysis of apparent amylose content of market milled rice via digital image photometry using a smartphone camera
description	Apparent amylose content (AC) of market milled rice was analyzed through digital image photometry (DIP) utilizing a smartphone camera and a free-access software (ImageJ). The DIP-AC method was validated using seven test samples and applied to a set of 17 commercially available milled rices varying in AC. A light box was constructed to accommodate a cuvette and a smartphone while ImageJ was used for digital image analysis towards quantifying AC. Smartphone camera settings were also optimized using the red, green, and blue (RGB) values of the digital images of amylose-iodine blue solutions. ISO 100 combined with shutter speed 1/640 was the optimum and most suitable settings combination when B values were used to generate calibration curves yielding a high degree of linearity (r = 0.995–0.998). Validation showed the DIP-AC method to be accurate based on the conventional ultraviolet–visible (UV-vis) spectrophotometric AC assay. It was also found to be repeatable and precise for non-waxy rice samples only, yielding RSD values below 7% among all replications made within one day and across different days. With the optimized DIP-AC assay, limits of detection and quantitation of AC that is capable of iodine binding at alkaline pH and influencing cooked rice texture, were 0.2% and 0.4% (milled rice basis at 12–14% moisture), respectively. The reported DIP-AC method can be a reliable and accurate assay for determining AC of non-waxy milled rice alternative to UV–vis spectrophotometry. Further refinement of the DIP-AC method is warranted to improve precision in measuring AC of milled waxy rice.
format	article
author	Arvin Paul P. Tuaño Gabrielle A. Castrillo Gabriel Angelo V. Viola
author_facet	Arvin Paul P. Tuaño Gabrielle A. Castrillo Gabriel Angelo V. Viola
author_sort	Arvin Paul P. Tuaño
title	Analysis of apparent amylose content of market milled rice via digital image photometry using a smartphone camera
title_short	Analysis of apparent amylose content of market milled rice via digital image photometry using a smartphone camera
title_full	Analysis of apparent amylose content of market milled rice via digital image photometry using a smartphone camera
title_fullStr	Analysis of apparent amylose content of market milled rice via digital image photometry using a smartphone camera
title_full_unstemmed	Analysis of apparent amylose content of market milled rice via digital image photometry using a smartphone camera
title_sort	analysis of apparent amylose content of market milled rice via digital image photometry using a smartphone camera
publisher	Elsevier
publishDate	2021
url	https://doaj.org/article/d2f73ba2158a4f01bb9d6e7a103baba6
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Analysis of apparent amylose content of market milled rice via digital image photometry using a smartphone camera

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