Formulation Optimization of Purple Rice - Coconut Milk Drink Based on Physical and Chemical Properties using Mixture Design
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Creator Tatdao Paseephol
Title Formulation Optimization of Purple Rice - Coconut Milk Drink Based on Physical and Chemical Properties using Mixture Design
Contributor Chonticha Khahakhasit, Chalida Chaisuwan and Wanida Chuenta
Publisher Mahasarakham University
Publication Year 2563
Journal Title Science Technology and Engineering Journal (STEJ)
Journal Vol. 6
Journal No. 2
Page no. No. 36-49
Keyword coconut milk, black glutinous rice, mixture design, gum arabic
URL Website https://stej.msu.ac.th/
Website title Science Technology and Engineering Journal (STEJ)
ISSN ISSN (Printed): 2697-6110, ISSN (Online) : 2697-6072.
Abstract This study aimed to determine the optimum formulation of purple rice - coconut milk drink. Extreme vertices design of mixture experiments for the three components was performed. The proportions of the three components were 20.00 - 28.78% boiled purple rice (BPR), 10.00 - 18.78% grated coconut meat (GCM) and 55.00 - 63.78% warm water at 80ฐC (WW) equivalent to a total of 93.78%. Four formulations were generated. The experimental data were analyzed using analysis of variance (ANOVA) and were fitted to a linear model equation. The results revealed that the increase in BPR produced a significant increase in antioxidant capacity, total phenolic content (TPC), total anthocyanin content (TAC), and the redness of the coconut milk drink. Besides, an increase of GCM caused greater values for TPC and lower value for a* value. The physicochemical properties of the drink were least affected by WW. The statistically significant predictive models with satisfactory coefficients of determination (R2 > 0.75) were used to plot the contour plot and determine the optimum values of responses. It was found that a formulation containing 28.78% BPR, 10.00% GCM, and 55.00% WW led to the desirable physical and chemical properties with combined desirability equals to 0.618. Confirmatory trial results achieved reasonably close between the observed and predicted values. The data presented could be useful in developing a plant - based functional drink for health - conscious consumers.
Division of Research Facilitation and Dissemination Mahasarakham University

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