摘要
该文选择天津、山东、河南3个省份具有地理标志认证的10个品种青萝卜,开展特色农产品地理来源鉴别研究。利用元素分析仪-稳定同位素质谱仪(elemental analyzer-stable isotope ratio mass spectrometers,EA-IRMS)测定了青萝卜中的碳同位素比值(δ^(13)C)、氮同位素比值(δ^(15)N),利用电感耦合等离子体质谱仪(inductively coupled plasma mass spectrometry,ICP-MS)测定了Co、Cd、As、Ni、Mo、Cr、B、Ba、Ca、Cu、Fe、Mg、Mn、Na、P、Sr、Zn、Se共18种矿物元素含量。箱线图显示,稳定同位素比值在判别产地时效果不显著;单因素ANOVA检验结果表明,Na、Ca、Mg、Fe、Sr、Zn、B、Mn、As等矿物元素含量在不同省份间存在显著差异。应用偏最小二程判别分析(partial least squares discrimination analysis,PLS-DA)算法建立判别模型时,河南、天津和山东的样品均有不同程度的误判,模型训练总体判别率为86.44%;应用线性判别分析(linear discriminant analysis,LDA)算法建模时,青萝卜样品的误判率下降,模型初始验证和交叉训练的准确率分别达到92.09%和93.79%,相对于PLS-DA模型,LDA算法建立的模型对青萝卜样品的判别准确率更高,效果更好。这说明应用LDA算法结合矿物元素对青萝卜产地鉴别具有一定可行性,也为今后应用稳定同位素比值和矿物元素含量进行萝卜产地判别提供了参考依据。
To carry out geographical origin identification of featured agricultural products,10 kinds of green turnip with geographical indication certification were selected from Tianjin,Shandong and Henan provinces.Elemental Analyzer-Stable isotope mass spectrometry(EA-IRMS)was used to determinate the ratio of carbon and nitrogen isotopes in green turnip.Simultaneously,inductively coupled plasma mass spectrometry(ICP-MS)were used to determinate the contents of 18 mineral elements,including Co,Cd,As,Ni,Mo,Cr,B,Ba,Ca,Cu,Fe,Mg,Mn,Na,P,Sr,Zn and Se.The results of the box plot showed that stable isotope ratio has no significant effect on the identification of origin.Moreover,the one-way test of variance showed that there were significant obvious differences in the content of Na,Ca,Mg,Fe,Sr,Zn,B,Mn.,as in green turnip among different provinces.The model established based on Partial least squares discriminant analysis(PLS-DA)detection results showed that different degrees of misjudgment in the green turnip samples from Henan,Tianjin and Shandong respectively.The overall discriminant rate of PLS-DA model was 86.44%when it was trained.However,when linear discriminant analysis(LDA)algorithm was applied to modeling,the misjudgment rate of green turnip samples decreased,and the accuracy of initial verification and cross-training reached 92.09%and 93.79%,respectively.Compared with PLS-DA model,the model established by LDA algorithm had higher discrimination accuracy and better effect on green turnip samples.This indicates that the application of LDA algorithm combined with mineral elements is feasible to identify the origin of green turnip,and it also provides a reference for the application of stable isotope ratio and mineral element content in the identification of origin of turnip in the future.
作者
姜浩琛
王世成
李波
郝淋淋
孙辞
崔杰华
李国琛
徐志祥
JIANG Haochen;WANG Shicheng;LI Bo;HAO Linlin;SUN Ci;CUI Jiehua;LI Guochen;XU Zhixiang(College of Food Science and Engineering,Shandong Agricultural University,Taian 271018,China;Institute of Applied Ecology,Chinese Academy of Sciences,Shenyang 110016,China)
出处
《食品与发酵工业》
CAS
CSCD
北大核心
2022年第10期234-239,共6页
Food and Fermentation Industries
基金
国家重点研发计划项目(2016YFD0401201)
特色农产品产地溯源方法开发及应用(2018SG-Y-07)。
关键词
青萝卜
矿物元素
碳、氮同位素
产地判别
green turnip
mineral elements
carbon and nitrogen isotopes
origin discriminant
