分析与检测

基于多元统计分析方法建立油塔子品质评价体系

  • 利通 ,
  • 陈舒唱 ,
  • 沈阿倩 ,
  • 冯作山 ,
  • 阿比旦木·卡地尔 ,
  • 刘世忍 ,
  • 黄文书
展开
  • (新疆农业大学 食品科学与药学学院,新疆 乌鲁木齐,830052)
硕士研究生(黄文书教授为通讯作者,E-mail:xjnd-hws@126.com

收稿日期: 2020-12-01

  修回日期: 2020-12-27

  网络出版日期: 2021-08-20

基金资助

国家重点研发计划重点专项项目(2018YFD0400103-1);科技部支撑计划项目(2515KJBXM)

Establishment of You ta zi quality evaluation system based on multivariate statistical analysis method

  • LI Tong ,
  • CHEN Shuchang ,
  • SHEN Aqian ,
  • FENG Zuoshan ,
  • ABEDAM Qadir ,
  • LIU Shiren ,
  • HUANG Wenshu
Expand
  • (College of Food Science and Pharmacy, Xinjiang Agricultural University, Urumqi 830052, China)

Received date: 2020-12-01

  Revised date: 2020-12-27

  Online published: 2021-08-20

摘要

基于多元统计分析法研究19种乌鲁木齐市售油塔子物性品质指标与感官品质间的联系,建立油塔子品质评价体系。结果显示,油塔子物性指标系统聚类分析,当平方欧式距离为2.5时,对应相关性分析中的相关系数为0.954~0.990(P<0.01),结合散点分布图,表明硬度可代替咀嚼性与胶着性。通过偏最小二乘法分析与相关性分析,研究了乌鲁木齐市油塔子物性指标和感官评价指标间的相互关系,结果表明硬度、弹性、比容、高径比及色差L值可作为乌鲁木齐市售油塔子品质评价体系中的关键物性指标,并利用主成分分析方法得到以关键物性指标为基础的综合得分公式:F=-0.128 87X1+0.265 33X2+0.095 951X3-0.159X4+0.231 551X5

本文引用格式

利通 , 陈舒唱 , 沈阿倩 , 冯作山 , 阿比旦木·卡地尔 , 刘世忍 , 黄文书 . 基于多元统计分析方法建立油塔子品质评价体系[J]. 食品与发酵工业, 2021 , 47(14) : 244 -250 . DOI: 10.13995/j.cnki.11-1802/ts.026281

Abstract

Based on the multivariate statistical analysis method, the relationship between 19 kinds of Urumqi's commercially available You ta zi physical quality indicators and sensory quality was studied in order to establish a You ta zi quality evaluation system. The systematic cluster analysis of the physical properties of You ta zi showed that when the squared Euclidean distance was 2.5, the correlation coefficient in the corresponding correlation analysis ranges from 0.954 to 0.990 (P<0.01). Moreover, combined with the scatter point distribution chart, the results indicated hardness can replace chewiness and stickiness. Furthermore, through partial least square analysis and correlation analysis, the relationship between the physical properties and sensory evaluation indicators of You ta zi in Urumqi city was established. The results showed that hardness, elasticity, specific volume, height-to-diameter ratio and color difference L value can be used as key physical property indicators in the Urumqi You ta zi quality evaluation system, and a comprehensive scoring formula based on the key physical property indicators were also been established which was:F=-0.128 87X1+0.265 33X2+0.095 951X3-0.159X4+0.231 551X5.

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