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• 分析检测 •    下一篇

基于差别度的电子舌对花椒麻味物质定量预测的探索研究

王素霞1,赵镭2,史波林3,支瑞聪3,周先礼1   

  1. 1. 西南交通大学九里校区
    2. 中国标准化研究院食品与农业标准化研究所
    3. 中国标准化研究院
  • 收稿日期:2013-12-18 修回日期:2014-08-27 出版日期:2014-09-25 发布日期:2014-09-17
  • 通讯作者: 赵镭 E-mail:sunnylei@126.com
  • 基金资助:
    牛乳骨桥蛋白与乳铁蛋白协同成骨作用及热处理对其影响研究;四川省科技支撑计划

Quantitative Prediction of Pungency in Zanthoxylum bungeanum Using Electronic Tongue Based on Differential Degree

su xiawangLEI ZHAOBo-lin SHI2,Rui-Cong ZHI 2   

  • Received:2013-12-18 Revised:2014-08-27 Online:2014-09-25 Published:2014-09-17
  • Contact: LEI ZHAO E-mail:sunnylei@126.com

摘要: 麻味是一种刺激感强又易感觉疲劳的感官属性,为能快速批量地对麻味食品进行麻度评价,建立一种用电子感官替代人感官评价进行麻度测定的方法具有重要的实际意义。而要实现电子舌对麻度的测定,则需要验证基于电子舌是否能对不同含量的麻味物质定量响应以及麻味物质浓度与人麻感强度之间是否存在着特定的关系。本研究以干花椒麻味提取液为研究对象,基于感官评价对照差别检验的方法和原理,对样品和具有已知浓度的参比样采取对比平行测定,以欧氏距离作为参比与样品间电子舌区分的差别度,探索建立花椒麻味物质含量电子舌预测模型。结果表明:差别度能很好地反应麻味物质不同浓度之间的差异,该差异可用线性数学模型表示。采用该模型对样品的预测值与实际值之间的相对标准偏差小于20%,满足感官评价对风味属性量化评价的要求。本研究实现了对花椒麻味物质定量预测的突破,对后期进一步建立电子舌花椒麻度测定方法打下了坚实的基础,同时也对利用电子感官进行半定量和定量测定研究提供了方法借鉴。

关键词: 电子舌, 花椒, 麻味, 定量, 差别度, 欧氏距离

Abstract: Pungency is a kind of sensory attributes which stimulate strong and is easy to let evaluators feel fatigue. It is very important to establish an electronic evaluation method to replace sensory method for quickly evaluating pungent intensity in batch. In order to carry out pungency evaluation by electronic tongue, there are two questions should be solved. First, electronic tongue should be capable to response for different pungent concentrations quantitatively. Second, the specific relationship between pungent concentrations and pungent intensity should be existed. In order to explore prediction model for pungent concentration by electronic tongue, the extract of dry Zanthoxylum bungeanum sample was used as the research object, methods and principles of difference test for sensory evaluation were adopted, samples were detected using parallel measurement, and Euclidean Distance was used to present differential degree between fixed reference and unknown samples. Results showed that the differential degree could well response to variances in series concentration samples, especially the variances could be represented by linear mathematical model. Using this model to predict unknown samples showed that the relative standard deviation between predicted value and actual value was less than 20%, which satisfied with requirements of sensory evaluation for quantitation. It was a breakthrough in predicting pungent concentration, and also it laid a solid foundation for quantitative prediction of pungent intensity, for which provided a method for semi-quantitative and quantitative determination.

Key words: Electronic Tongue, Zanthoxylum bungeanum Maxim, Pungency, Quantitation, Differential Degree, Euclidean Distance

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