Employing an R Software Package rsm for Optimizing of Genistein, Daidzein, and Glycitein Separation and Its Application for Soy Milk Analysis by HPLC Method

Soy milk, one of the soybean products, become more popular in recent years due to its benefit for human health. Biological activities of soybean products have been widely studied according to the presence of isoflavone aglycones content, including genistein, daidzein, and glycitein. Hence, it is imp...

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Autores principales:	Florentinus Dika Octa Riswanto, Alni Desra, Rinjani Mustika Sari, Valentino Thomas, Abdul Rohman, Suwidjiyo Pramono, Sudibyo Martono
Formato:	article
Lenguaje:	EN
Publicado:	Department of Chemistry, Universitas Gadjah Mada 2020
Materias:	daidzein genistein glycitein hplc r software Chemistry QD1-999
Acceso en línea:	https://doaj.org/article/59f908880ab1449cae796ed1a4b9b3ee
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spelling	oai:doaj.org-article:59f908880ab1449cae796ed1a4b9b3ee2021-12-02T13:14:06ZEmploying an R Software Package rsm for Optimizing of Genistein, Daidzein, and Glycitein Separation and Its Application for Soy Milk Analysis by HPLC Method1411-94202460-157810.22146/ijc.51669https://doaj.org/article/59f908880ab1449cae796ed1a4b9b3ee2020-07-01T00:00:00Zhttps://jurnal.ugm.ac.id/ijc/article/view/51669https://doaj.org/toc/1411-9420https://doaj.org/toc/2460-1578Soy milk, one of the soybean products, become more popular in recent years due to its benefit for human health. Biological activities of soybean products have been widely studied according to the presence of isoflavone aglycones content, including genistein, daidzein, and glycitein. Hence, it is important to develop an effective and efficient analytical method to provide guidance regarding appropriate isoflavone intake levels for soy milk. A reversed-phase high performance liquid chromatography (HPLC) method was developed and optimized in this study employed by R statistical software with the package of rsm. A C18 column was used for HPLC separation with the detection at 260 nm. Optimized condition for HPLC separation has been achieved with the mobile phase of methanol: water (63.26:36.74), a flow rate of 0.81 mL/min, and a column temperature of 45.31 °C. These conditions were applied in the HPLC system and successfully tested for the system suitability. Quantitative estimation was performed and resulted that the genistein, daidzein, and glycitein content in soy milk samples were 6.372, 6.273, and 2.853 µg/mL, respectively.Florentinus Dika Octa RiswantoAlni DesraRinjani Mustika SariValentino ThomasAbdul RohmanSuwidjiyo PramonoSudibyo MartonoDepartment of Chemistry, Universitas Gadjah Madaarticledaidzeingenisteinglyciteinhplcr softwareChemistryQD1-999ENIndonesian Journal of Chemistry, Vol 20, Iss 5, Pp 1184-1198 (2020)
institution	DOAJ
collection	DOAJ
language	EN
topic	daidzein genistein glycitein hplc r software Chemistry QD1-999
spellingShingle	daidzein genistein glycitein hplc r software Chemistry QD1-999 Florentinus Dika Octa Riswanto Alni Desra Rinjani Mustika Sari Valentino Thomas Abdul Rohman Suwidjiyo Pramono Sudibyo Martono Employing an R Software Package rsm for Optimizing of Genistein, Daidzein, and Glycitein Separation and Its Application for Soy Milk Analysis by HPLC Method
description	Soy milk, one of the soybean products, become more popular in recent years due to its benefit for human health. Biological activities of soybean products have been widely studied according to the presence of isoflavone aglycones content, including genistein, daidzein, and glycitein. Hence, it is important to develop an effective and efficient analytical method to provide guidance regarding appropriate isoflavone intake levels for soy milk. A reversed-phase high performance liquid chromatography (HPLC) method was developed and optimized in this study employed by R statistical software with the package of rsm. A C18 column was used for HPLC separation with the detection at 260 nm. Optimized condition for HPLC separation has been achieved with the mobile phase of methanol: water (63.26:36.74), a flow rate of 0.81 mL/min, and a column temperature of 45.31 °C. These conditions were applied in the HPLC system and successfully tested for the system suitability. Quantitative estimation was performed and resulted that the genistein, daidzein, and glycitein content in soy milk samples were 6.372, 6.273, and 2.853 µg/mL, respectively.
format	article
author	Florentinus Dika Octa Riswanto Alni Desra Rinjani Mustika Sari Valentino Thomas Abdul Rohman Suwidjiyo Pramono Sudibyo Martono
author_facet	Florentinus Dika Octa Riswanto Alni Desra Rinjani Mustika Sari Valentino Thomas Abdul Rohman Suwidjiyo Pramono Sudibyo Martono
author_sort	Florentinus Dika Octa Riswanto
title	Employing an R Software Package rsm for Optimizing of Genistein, Daidzein, and Glycitein Separation and Its Application for Soy Milk Analysis by HPLC Method
title_short	Employing an R Software Package rsm for Optimizing of Genistein, Daidzein, and Glycitein Separation and Its Application for Soy Milk Analysis by HPLC Method
title_full	Employing an R Software Package rsm for Optimizing of Genistein, Daidzein, and Glycitein Separation and Its Application for Soy Milk Analysis by HPLC Method
title_fullStr	Employing an R Software Package rsm for Optimizing of Genistein, Daidzein, and Glycitein Separation and Its Application for Soy Milk Analysis by HPLC Method
title_full_unstemmed	Employing an R Software Package rsm for Optimizing of Genistein, Daidzein, and Glycitein Separation and Its Application for Soy Milk Analysis by HPLC Method
title_sort	employing an r software package rsm for optimizing of genistein, daidzein, and glycitein separation and its application for soy milk analysis by hplc method
publisher	Department of Chemistry, Universitas Gadjah Mada
publishDate	2020
url	https://doaj.org/article/59f908880ab1449cae796ed1a4b9b3ee
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Employing an R Software Package rsm for Optimizing of Genistein, Daidzein, and Glycitein Separation and Its Application for Soy Milk Analysis by HPLC Method

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