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投稿时间:2015-11-19
投稿时间:2015-11-19
中文摘要: 为探索血豆腐的质构性质的机械评价方法,以猪血豆腐和鸭血豆腐为考察对象,测定其质构的感官指标和机 械指标,通过对各指标之间的相关性分析,分析出各指标间的相互关系,并进一步利用 SPSS 17.0 中的回归拟合得到感 官指标的预测模型。结果表明:剪切模式和穿刺模式的大多机械指标对除多汁性以外的所有感官指标都存在显著相关 性,5 个感官指标均可由机械指标拟合出回归方程,其中,多汁性由 TPA 模式的机械指标拟合,而其他感官指标均由剪 切模式和穿刺模式的机械指标拟合, 其拟合方程分别为: 嫩度=5.266-0.026×破裂力; 多汁性=12.5-0.348×可恢复功-6.822×内聚性+0.055×咀嚼性;Ln(细腻度)=4.572-0.529×Ln(剪切力)+0.118×Ln(剪切断裂形变);Ln(弹性)=4.951-1.556× Ln(破裂断裂性)+0.349×Ln(剪切断裂性);Ln(总体接受性)=4.279-0.752×Ln(剪切力)+0.12×Ln(剪切断裂形变)+0.473× Ln(破裂力)。
Abstract:In order to explore the evaluation methods of the textural nature of blood tofu by mechanical index, with pig and duck blood tofu as inspection object, this paper measured sensory index and mechanical index of their texture, analyzing the mutuality between the various indicators through the analysis of the correlation be- tween the various indicators, and further obtains prediction model of sensory indicators using regression fitting in SPSS 17.0. The results showed that: most mechanical indicators of shear mode and puncture pattern were sig- nificantly correlated with all sensory indicators except juiciness; all the 5 sensory indexes could be fitted by the mechanical index of the regression equation. Among them, the juiciness was fitted by mechanical indicators of TPA mod, and other sensory indicators were fitted by mechanical indicators of shear mode and puncture pat- tern, The fitting equations were respectively: Tenderness =5.266 -0.026 × Breaking force;Juiciness =12.5 -0.348× Recoverable Work Done -6.822× Cohesiveness +0.055× Chewiness;Ln(Exquisiteness)=4.572-0.529× Ln(Shearing force)+0.118Ln(1st Fracture distance for shearing force);Ln(Springiness)=4.951-1.556×Ln(1st Fracture for breaking force)+0.349×Ln (1st Fracture for shearing force);Ln (Overall Acceptability)=4.279-0.752×Ln(Shearing force)+0.12×Ln(1st Fracture distance for shearing force)+0.473×Ln(Breaking force)。
keywords: blood tofu texture profile analysis sensory measurement correlation analysis regression analysis
文章编号:201607036 中图分类号: 文献标志码:A
基金项目:重庆市教委科学技术研究项目(KJ1403304)
Author Name | Affiliation |
LI Xiang | Chongqing Three Gorges Vocational College, Chongqing 404155, China |
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