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首页> 外文期刊>International Journal of Food Engineering >Formulation and Fuzzy Modeling of Viscosity of an Orange-Flavored Carboxymethylcellulose-Whey Protein Isolate Beverage
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Formulation and Fuzzy Modeling of Viscosity of an Orange-Flavored Carboxymethylcellulose-Whey Protein Isolate Beverage

机译:橙味羧甲基纤维素-乳清蛋白分离饮料的粘度配方和模糊建模

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摘要

The aim of this study was to employ whey proteins isolate (WPI) and carboxymethylcelulosen(CMC) as stabilizers in beverage production and to evaluate viscosity of the products. Threenbeverages were formulated using 6% WPI combined with three different concentrations of CMCn(0.1, 0.5, and 1%). The combination of 6% WPI/1.0% CMC was selected and added to threendifferent ratios of pure orange juice (50:50 “T1,” 40:60 ”T2,” and 15:85 ”T3”). The apparentnviscosity decreased as shear rate and temperature increased. Additionally, the apparent viscositynfor the same treatment at certain shear rate/same temperature increased after storage. In addition,nan adaptive neuro-fuzzy inference system (ANFIS) was used to model and identify the viscositynof the resulted beverages. Experimental validation runs were conducted to compare the measurednvalues and the predicted ones. ANFIS models achieved an average prediction error of viscositynof only 9%. It is believed that this approach can be applied to predict many other parameters andnproperties in beverage industry.
机译:这项研究的目的是在饮料生产中采用乳清分离蛋白(WPI)和羧甲基纤维素(CMC)作为稳定剂,并评估产品的粘度。使用6%的WPI和三种不同浓度的CMCn(0.1、0.5和1%)配制三种饮料。选择6%WPI / 1.0%CMC的组合,并添加到三种不同比例的纯橙汁中(50:50“ T1”,40:60“ T2”和15:85“ T3”)。表观粘度随剪切速率和温度的升高而降低。另外,在储存后,在一定剪切速率/相同温度下,相同处理的表观粘度n增加。此外,还使用了神经自适应神经模糊推理系统(ANFIS)对所得饮料的粘度进行建模和识别。进行实验验证运行以比较测得的n值和预测的n值。 ANFIS模型获得的黏度n的平均预测误差仅为9%。相信该方法可以用于预测饮料工业中的许多其他参数和性质。

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