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Optimization of meat level and processing conditions for development of chicken meat noodles using response surface methodology

机译:利用响应面法优化鸡肉水平的肉水平和加工条件

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Response surface methodology (RSM) is a mathematical and statistical technique for testing multiple process variables and their interactive, linear and quadratic effects, and useful in solving multivariable equations obtained from experiments simultaneously. In present study optimum meat level and processing conditions for development of shelf stable chicken meat noodles was determined using central composite design of response surface methodology (RSM). Effects of meat level (110-130 g); processing conditions such as steaming time (12-18 min) and drying time (7-9 h) on the water activity, yield, water absorption index, water solubility index, hardness, overall acceptability and total colour change of chicken noodles were investigated. The aim of present study was to optimize meat level and processing conditions for development of chicken noodles. The coefficients of determination, R-2 of all the response variables were higher than 0.8. Based on the response surface and superimposed plots, the optimum conditions such as 60 % meat level, 12 min steaming time and 9 h drying time for development of chicken noodles with desired sensory quality was obtained.
机译:响应面方法(RSM)是一种数学和统计技术,用于测试多个过程变量及其交互作用,线性和二次效应,在解决同时从实验中获得的多变量方程式方面很有用。在本研究中,使用响应面方法(RSM)的中央复合设计确定了用于开发货架稳定的鸡肉面条的最佳肉水平和加工条件。肉水平的影响(110-130克);研究了蒸煮时间(12-18分钟)和干燥时间(7-9小时)等加工条件对鸡肉面条水分活度,产量,吸水率,水溶性指数,硬度,总体可接受性和总颜色的影响。本研究的目的是优化鸡肉水平的肉水平和加工条件。所有响应变量的确定系数R-2均大于0.8。根据响应面和叠加图,获得了开发具有理想感官品质的鸡肉面条的最佳条件,例如60%的肉水平,12分钟的蒸煮时间和9 h的干燥时间。

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