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Correlation between flavour compounds and sensory properties of potherb mustard (Brassica juncea, Coss.) pickle

机译:野菜芥末(Brassica juncea,Coss。)的风味物质与感官特性之间的相关性

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To characterise the flavour of the indigenous Chinese potherb mustard (Brassica juncea, Coss.) pickle, 28 samples representing two typical types with different brining storage time were sourced from 14 cities in the Yangtze River Delta Megalopolis area in China, either short time storage or long time storage pickles sampled from cities open markets. Pickle samples were assessed by descriptive sensory evaluation conducted using a trained panel and an established pickle flavour lexicon. Pickle samples were also analysed for flavour components, as expressed by physico-chemical parameters. The relationships between the flavour compounds and sensory properties of pickles were studied by the partial least squares (PLS) regression method. Results demonstrated that some latent variables both in the independent variables (physico-chemical parameters) and dependent variables (taste sensory attributes) can be extracted to build the PLS models for prediction. PLS1 regression of sensory data revealed that preference was predominantly related to umami taste, whereas umami taste was mainly related to free amino acid of glutamic acid and aspartic acid contents in the pickle juice. The biplot of PLS2 with all the samples and variables explained 100% of the X-variables (instrumental measurements) and 85% of the Y-variables (taste sensory attributes). The prediction abilities of the PLS models obtained yield good results for the prediction of taste sensory characteristics of potherb mustard pickle according to physico-chemical parameters analysis. However, the total instrumental analysing parameters collected for judgement of potherb mustard pickle quality was a rather large set of data, sensory values evaluated by trained panelists are relatively convenient to obtain. These results illustrated the application of multivariate analysis as an effective strategy for improving the quality of potherb mustard pickles.
机译:为了表征中式野菜芥菜(Brassica juncea,Coss。)腌制的风味,从中国长江三角洲特大城市地区的14个城市中抽取了28个样品,分别代表两种不同类型的腌制时间。长期从城市开放市场中取样的腌制咸菜。通过使用训练有素的专家组和已建立的腌制香料词典进行描述性感官评估来评估腌制样品。还分析了腌制样品中的风味成分,通过理化参数表示。通过偏最小二乘(PLS)回归方法研究了风味化合物与酱菜感官特性之间的关系。结果表明,可以提取自变量(理化参数)和因变量(口味感官属性)中的一些潜在变量,以建立用于预测的PLS模型。感觉数据的PLS1回归显示,偏好主要与鲜味有关,而鲜味主要与腌制汁液中谷氨酸的游离氨基酸和天冬氨酸含量有关。 PLS2与所有样本和变量的双图解释了100%的X变量(仪器测量)和85%的Y变量(口味感官属性)。根据理化参数分析,所获得的PLS模型的预测能力对于野菜榨菜的味觉特征预测具有良好的效果。然而,为判断野菜榨菜的腌制质量而收集的全部仪器分析参数是相当大量的数据,受过训练的小组成员评估的感官值相对较容易获得。这些结果说明了多变量分析作为提高野菜芥末酱菜质量的有效策略的应用。

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