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Optimizing the Processing Factor and Formulation of Oat-Based Cookie Dough for Enhancement in Stickiness and Moisture Content Using Response Surface Methodology and Superimposition

机译:优化响应面法和叠加的涂料饼干面团的加工因子及其制备粘性和水分含量的增强

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摘要

Despite the utilization of dusting flour and oil to reduce dough stickiness during the production process in food industry, they do not effectively help in eliminating the problem. Stickiness remains the bane of the production of bakery and confectionery products, including cookies. In addition, the high moisture content of cookie dough is unduly important to obtain a high breaking and compression strengths (cookies with high breaking tolerance). This study was conducted in light of insufficient research hitherto undertaken on the utilization of response surface methodology and superimposition to enhance the stickiness and moisture content of quick oat-based cookie dough. The study aims at optimizating, validating and superimposing the best combination of factors, to produce the lowest stickiness and highest moisture content in cookie dough. In addition, the effect of flour content and resting time on the stickiness and moisture content of cookie dough was also investigated, and microstructure analysis conducted. The central composite design (CCD) technique was employed and 39 runs were generated by CCD based on two factors with five levels, which comprised flour content (50, 55, 60, 65, and 70%), resting time (10, 20, 30, 40, and 50 min) and three replications. Results from ANOVA showed that all factors were statistically significant at p < 0.05. Flour content between 56% and 62%, and resting time within 27 and 50 min, resulted in dough with high stickiness. High-region moisture content was observed for flour content between 60% and 70%, and within 10 and 15 min of resting time. The optimized values for flour content (V1) = 67% and resting time (V2) = 10 min. The predicted model (regression coefficient model) was found to be accurate in predicting the optimum value of factors. The experimental validation showed the average relative deviation for stickiness and moisture content was 8.54% and 1.44%, respectively. The superimposition of the contour plots was successfully developed to identify the optimum region for the lowest stickiness and highest moisture content which were at 67–70% flour content and 10–15 min resting time.
机译:尽管在食品工业生产过程中使用除尘面粉和油来减少面团粘性,但它们不会有效地帮助消除问题。粘性仍然是面包店和糖果产品的生产,包括饼干。此外,饼干面团的高水分含量不适当重要,无法获得高突破和压缩强度(具有高耐受性的饼干)。本研究是根据迄今为止在利用响应面方法和叠加的利用而进行的不充分的研究,以提高快速燕麦饼干面团的粘性和水分含量。该研究旨在优化,验证和叠加因素的最佳组合,在饼干面团中产生最低的粘性和最高的水分含量。此外,还研究了面粉含量和休息时间对饼干面团粘性和水分含量的影响,并进行微观结构分析。使用中央复合设计(CCD)技术,CCD基于具有五个水平的两个因素,由面粉含量(50,55,60,65和70%),休息时间(10,20,20, 30,40和50分钟)和三种复制。 ANOVA的结果表明,所有因素在P <0.05时均有统计学意义。面粉含量在56%和62%之间,休息时间在27和50分钟内,导致面团具有高粘度。在休息时间的10%和70%之间观察到面粉含量为60%至70%的高地水分含量。面粉含量(v1)= 67%且休息时间(v2)= 10分钟的优化值。发现预测模型(回归系数模型)在预测因素的最佳值方面是准确的。实验验证表明,粘性和水分含量的平均相对偏差分别为8.54%和1.44%。成功开发了轮廓图的叠加,以确定最低粘性和最高水分含量的最佳区域,粉末含量为67-70%和10-15分钟休息时间。

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