食品与发酵工业 >

2022 , Vol. 48 >Issue 6: 46 - 51

DOI: https://doi.org/10.13995/j.cnki.11-1802/ts.027925

研究报告

基于营养元素的茎瘤芥主成分分析和产地溯源

  • 江波 ,
  • 黄建华
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  • 1(长江师范学院 现代农业与生物工程学院,重庆,408100)
    2(湖南中医药研究院 中医研究所,湖南 长沙,410013)
硕士,副教授(黄建华研究员为通信作者,E-mail:jhhuang85@163.com)

收稿日期: 2021-05-02

  修回日期: 2021-06-25

  网络出版日期: 2022-04-25

基金资助

国家自然科学基金项目(81603400);重庆市自然科学基金项目(cstc2018jcyjAx0594)

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Principal component analysis and geographical origin traceability of tumorous stem mustard (Brassica juncea var. tumida Tsen et Lee) base on nutrient elements

  • JIANG Bo ,
  • HUANG Jianhua
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  • 1(School of Advanced Agriculture and Bioengineering, Yangtze Normal University, Chongqing 408100, China)
    2(Institute of Chinese Materia Medica, Hunan Academy of Traditional Chinese Medicine, Changsha 410013, China)

Received date: 2021-05-02

  Revised date: 2021-06-25

  Online published: 2022-04-25

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摘要

探寻茎瘤芥中营养元素含量特征规律及其与产地的关系。通过微波消解系统消解茎瘤芥样品,采用电感耦合等离子体发射光谱分析消解液中的常量营养元素(Mg、P、S、Ca、K)和微量营养元素(B、Mo、Mn、Fe、Cu、Zn、Sr),测量数据经标准化处理后,利用主成分分析(principal component analysis,PCA)提取主因子识别茎瘤芥的特征元素,利用聚类分析(cluster analysis,CA)构建判别模型对茎瘤芥产地进行溯源。结果表明,PCA提取的2个主因子累积方差贡献率达85.971%,能体现原始数据的主要信息,因子分析识别出Mg、P、S、K、B、Mn、Zn、Cu为茎瘤芥的特征元素,CA将16种茎瘤芥样品聚为三大类,不同样品中营养元素含量具有明显地域分布特征,可用于茎瘤芥产地的判别。该研究可为茎瘤芥的品质评价和产地溯源提供科学理论依据。

关键词： 茎瘤芥; 微波等离子体原子发射光谱; 营养元素; 主成分分析; 聚类分析; 溯源

本文引用格式

江波 , 黄建华 . 基于营养元素的茎瘤芥主成分分析和产地溯源[J]. 食品与发酵工业, 2022 , 48(6) : 46 -51 . DOI: 10.13995/j.cnki.11-1802/ts.027925

Abstract

The aim of this study was to explore the content characteristics of nutrient elements in tumorous stem mustard (Brassica juncea var. tumida Tsen et Lee) and establish the relationship between nutrient elements and producing area. Tumorous stem mustard samples were digested by microwave system, and the major nutrient elements (Mg, P, S, Ca, K) and trace nutrient elements (B, Mo, Mn, Fe, Cu, Zn, Sr) were simultaneously analyzed in the sample solution by inductively coupled plasma optical emission spectrometry (ICP-OES). After the measurement data were standardized, the principal component analysis was used to extract the principal factors to identify the characteristic elements of tumorous stem mustard. Cluster analysis was used to establish a discriminant model to trace the origin of tumorous stem mustard in different regions. The results showed that the cumulative variance contribution rate of the five principal components extracted by principal component analysis was 85.971%. Factor analysis identified Mg, P, S, K, B, Mn, Zn, and Cu as the characteristic elements of tumorous stem mustard. Cluster analysis showed that 16 tumorous stem mustard samples could be classified into three groups. The contents of nutrient elements in different samples have obvious regional distribution characteristics, which can be used for the identification of the origin of tumorous stem mustard. This research could provide a scientific theoretical basis for the quality evaluation and origin traceability of tumorous stem mustard.

Key words： tumorous stem mustard (Brassica juncea var. tumida Tsen et Lee); inductively coupled plasma optical emission spectrometry; nutrient elements; principal component analysis; cluster analysis; geographical origin

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