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%。
This study aimed to characterize the traceability of soybeans with similar regional characteristics and improve the accuracy and stability of mineral elements in tracing the geographical origin of soybeans.In this experiment,inductively coupled plasma mass spectrometry(ICP-MS)was used to analyze the contents of mineral elements in 42 samples collected from 9 farms in Bei’an city and 6 farms in Nenjiang county,Heihe city,Heilongjiang province.The obtained data were analyzed by analysis of variance(ANOVA),principal component analysis(PCA)and discriminant analysis(DA).The results showed that the first principal component for these soybean samples mainly included V,Fe,La,Ce,Pr,Nd,Dy,Er and Yb,with largest contribution rate of 28.390%.The second principal component mainly included As,Se,Lu,Ir and Au,with middle contribution rate of 14.435%.The third principal component mainly included Ca,Ni,Cd and Ba,with smallest contribution rate was 10.881%.Thus,analysis of mineral content data was useful for tracing the geographical origin of soybeans from different producing areas in the province.Six metal elements,Na,K,Mn,Rb,Ba and Au,were identified as indicators for traceability analysis.Our results demonstrated that the geographical origin of soybeans from the two main producing areas in Heilongjiang province was identified with 100%accuracy.
作者
鹿保鑫
马楠
王霞
张东杰
LU Baoxin;MA Nan;WANG Xia;ZHANG Dongjie(College of Food Science,Heilongjiang Bayi Agricultural University,Daqing 163319,China)
出处
《食品科学》
EI
CAS
CSCD
北大核心
2018年第8期288-294,共7页
Food Science
基金
黑龙江垦区科研项目(HNK135-06-06)
黑龙江八一农垦大学校内培育课题重点项目(XA2016-04)
黑龙江八一农垦大学研究生创新科研项目(YJSCX2017-Y51)
关键词
大豆
产地溯源
矿物元素
主成分分析
判别分析
soybean
geographical origin traceability
mineral element
principal component analysis(PCA)
discriminant analysis(DA)
作者简介
第一作者简介:鹿保鑫(1972—),男,教授,博士研究生,研究方向为农产品加工与贮藏工程及食品质量安全。E-mail:lubaoxin72@126.com;通信作者简介:张东杰(1966—),男,教授,博士,研究方向为农产品加工与贮藏工程及食品质量安全。E-mail:byndzdj@126.com
