Optimization of salt ready-mix for instant fried noodles production using response surface methodology

Manisha Malik, Devyani Tomar, Narpinder Singh, B.S. Khatkar
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Abstract

Purpose This study aims to provide a salt ready-mix to instant fried noodles manufacturers. Design/methodology/approach Response surface methodology was used to get optimized salt ready-mix based on carbonate salt, disodium phosphate, tripotassium phospahte, sodium hexametaphosphate and sodium chloride. Peak viscosity of flour and yellowness, cooking loss and hardness of noodles were considered as response factors for finding optimized salt formulation. Findings The results showed that salts have an important role in governing quality of noodles. Optimum levels of five independent variables of salts, namely, carbonate salt (1:1 mixture of sodium to potassium carbonate), disodium phosphate, sodium hexametaphosphate, tripotassium phosphate and sodium chloride were 0.64%, 0.29%, 0.25%, 0.46% and 0.78% on flour weight basis, respectively. Originality/value To the best of the authors’ knowledge, this is the first study to assess the effect of different combinations of different salts on the quality of noodles. These findings will also benefit noodle manufacturers, assisting in production of superior quality noodles.
利用响应面方法优化方便炸酱面生产用盐预拌粉
目的 本研究旨在为方便炸酱面生产商提供一种预拌盐。设计/方法/方法采用响应面法获得了基于碳酸盐、磷酸氢二钠、磷酸三钾、六偏磷酸钠和氯化钠的优化预拌盐。面粉的峰值粘度、面条的黄度、蒸煮损失和硬度被视为寻找优化盐配方的反应因素。五个自变量盐,即碳酸盐(碳酸钠和碳酸钾 1:1 的混合物)、磷酸氢二钠、六偏磷酸钠、磷酸氢三钾和氯化钠的最佳含量分别为面粉重量的 0.64%、0.29%、0.25%、0.46% 和 0.78%。这些发现也将使面条生产商受益,有助于生产出质量上乘的面条。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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