食品科学

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基于差别度的电子舌对花椒麻味物质的定量预测

王素霞1,2,赵 镭2,*,史波林2,支瑞聪2,汪厚银2,周先礼1,*   

  1. 1.西南交通大学生命科学与工程学院,四川 成都 610031;2.中国标准化研究院食品与农业标准化研究所,北京 100191
  • 出版日期:2014-09-25 发布日期:2014-09-17
  • 通讯作者: 赵 镭
  • 基金资助:

    国家自然科学基金面上项目(31171695);四川省科技支撑计划项目(2013SZ0083)

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

WANG Su-xia1,2, ZHAO Lei2,*, SHI Bo-lin2, ZHI Rui-cong2, WANG Hou-yin2, ZHOU Xian-li1,*   

  1. 1. College of Life Science and Engineering, Southwest Jiaotong University, Chengdu 610031, China;
    2. Institute of Foods and Agriculture Standardization, China National Institute of Standardization, Beijing 100191, China
  • Online:2014-09-25 Published:2014-09-17
  • Contact: ZHAO Lei

摘要:

以建立一套快速批量的电子感官麻度评价方法为目的。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,对未知样品与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质量浓度之间的差异,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,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:

The present work was undertaken to establish a rapid method for evaluating pungency in Zanthoxylum bungeanum
using electronic sensors. The pungent substances extracted from the dried fruit pericarp of Zanthoxylum bungeanum were
tested using an electronic tongue. Based on sensory difference tests, a predictive model for pungent substances in the
dried fruit pericarp of Zanthoxylum bungeanum was proposed using Euclidean distance as the differential degree through
comparative and parallel analysis of unknown and reference samples. Results showed that the differential degree could well
respond to serial concentrations in samples, and the concentration difference could be represented by a linear mathematical
model. The prediction of unknown samples using this model showed that the relative standard deviation between the
predicted and actual values was less than 20%, which meets the requirements for quantitative evaluation of taste attributes.
This study is a breakthrough in predicting pungent concentration, and also has laid a solid foundation for quantitative
prediction of pungent intensity by providing a method for semi-quantitative and quantitative detection.

Key words: electronic tongue, Zanthoxylum bungeanum Maxim., pungency, quantitation, differential degree, Euclidean distance

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