基于矿物元素含量的大豆产地溯源的研究

摘要/Abstract

摘要： 为表征相似地域特性的溯源指标，提高矿物元素对大豆产地溯源的准确性及稳定性。采用电感耦合等离子体质谱仪分析黑龙江省北安市9个农场及黑河市嫩江县6个农场共42个大豆样品中矿物元素含量，对所得的矿物元素含量数据进行方差分析、主成分分析和判别分析。结果显示：北安市和黑河市嫩江县矿物元素溯源指标，第1主成分主要由V、Fe、La、Ce、Pr、Nd、Dy、Er、Yb 9种元素构成，贡献率最大，为28.390%；第2主成分主要由As、Se、Lu、Ir、Au 5种元素构成，贡献率为14.435%；第3主成分主要由Ca、Ni、Cd、Ba 4种元素构成，贡献率为10.881%。利用大豆中矿物元素含量的分析，实现了省内大豆主产区产地溯源，并获得了黑龙江省两个大豆主产区溯源指标，分别为Na、K、Mn、Rb、Ba和Au 6种元素。综合2个主产区42个大豆样品矿物元素分析结果，实现了对黑龙江省两大主产区大豆产地溯源的准确判别，正确判别率为100%。

关键词: 大豆, 产地溯源, 矿物元素, 主成分分析, 判别分析

Abstract: To characterize the traceability of similar regional characteristics, and improve the accurate and stable of mineral elements to soybean origin of the source. In this experiment, inductively coupled plasma mass spectrometry (GC-MS) was used to analyze the contents of mineral elements in 42 farms of 9 farms in Beian City of Heilongjiang Province and 6 farms in Nenjiang County, Heihe City, the content of mineral elements was analyzed by variance analysis, principal component analysis and discriminant analysis. The result showed that the first principal components of the Nenjiang County and Heihe River in Heihe City are mainly composed of V, Fe, La, Ce, Pr, Nd, Dy, Er and Yb. The contribution rate is the largest, accounting for 28.390%. The second principal component is mainly composed of As, Se, Lu, Ir and Au. The contribution rate is 14.435%. The third principal component is mainly composed of Ca, Ni, Cd and Ba. The contribution rate is 10.881%. Based on the analysis of the content of mineral elements in soybean, the origin of soybean producing areas in the province was realized, and the traceability indexes of two major soybean producing areas in Heilongjiang Province were obtained, respectively, Na, K, Mn, Rb, Ba and Au 6 kinds of elements. The results of mineral element analysis of 42 soybean samples in two main producing areas were realized, and the correct discrimination rate of soybean origin in Heilongjiang Province was realized. The correct discrimination rate was 100%.

Key words: soybean, origin traceability, mineral element, principal com pon ent analysis, discriminant analysis

中图分类号:

TS202.1

鹿保鑫马楠王霞张东杰. 基于矿物元素含量的大豆产地溯源的研究[J]. 食品科学, 0, (): 0-0.

Ma Nan Wang-Xia. Study on origin identification traceability based on contents of soybean mineral elements components[J]. FOOD SCIENCE, 0, (): 0-0.

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