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作 者:田媛 刘振蓉 胡新中[1] 赵武奇[1] Tian Yuan;Liu Zhenrong;Hu Xinzhong;Zhao Wuqi(College of Food Engineering and Nutritional Science,Shanxi Normal University,Xi'an 710119)
机构地区:[1]陕西师范大学食品工程与营养科学学院,西安710119
出 处:《中国食品学报》2023年第11期182-190,共9页Journal of Chinese Institute Of Food Science and Technology
基 金:陕西省国际合作基地项目(2019GHJD-15);国家燕麦荞麦产业技术体系项目(CARS-07);陕西省谷物食品科学与营养创新团队项目(2020TD-049)。
摘 要:建立干燥系统中耦合因子与燕麦挂面品质指标之间的多元线性回归模型,以实现干燥耦合因子预测燕麦挂面的品质指标。以燕麦挂面的品质指标为因变量,以各耦合因子(温度和、空气绝对水势和、空气绝对水势积、积温)为自变量,通过多元线性回归,建立燕麦挂面各品质指标预测模型并进行评价和验证。结果表明:建立的最佳煮制时间、蒸煮损失、烹调吸水率、延展性、硬度、咀嚼性、黏着性、抗弯曲强度、折断距离、酸度和脂肪酸值的回归模型均显著(P<0.01),模型对品质指标预测的决定系数R^(2)分别为0.8075,0.9981,0.8485,0.8354,0.8118,0.8194,0.8030,0.8416,0.8838,0.8100和0.8888。干燥耦合因子可用于对燕麦挂面品质指标的预测,本研究为燕麦挂面干燥过程中品质的控制提供理论参考。A multivariate linear regression model between the coupling factor and the quality index of oat noodles in the drying system was established,and the drying coupling factor predicted the quality index of oat noodles.Taking the quality index of oat noodles as the dependent variables,and the coupling factors(temperature,air absolute water potential,air absolute water potential and accumulated temperature)as the independent variables,through multiple linear regression,the prediction model of each quality index of oat noodles was established,evaluated and verified.The results showed that the established quality index regression models of optimal cooking time,cooking loss,cooking water absorption,ductility,hardness,chewability,adhesion,flexural strength,breaking distance,acidity and fatty acid value,were significant(P<0.01),and the model's coefficients R^(2)for quality index prediction were 0.8075,0.9981,0.8485,0.8354,0.8118,0.8194,0.8030,0.8416,0.8838,0.8100 and 0.8888,respectively.The drying coupling factor can be used to predict the quality index of oat noodles,and the study provided a theoretical basis for the quality control of oat noodles in the drying process.
分 类 号:TS213.24[轻工技术与工程—粮食、油脂及植物蛋白工程]
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