矿物元素结合簇类独立软模式法对冬枣产地判别模型的优化

doi:10.3969/j.issn.1000-1565.2016.04.008

河北大学学报(自然科学版) ›› 2016, Vol. 36 ›› Issue (4): 374-379.DOI: 10.3969/j.issn.1000-1565.2016.04.008

矿物元素结合簇类独立软模式法对冬枣产地判别模型的优化

夏立娅,李小亭,李晓杨,张晓瑜,尹洁璇

收稿日期:2016-03-01 出版日期:2016-07-25 发布日期:2016-07-25
通讯作者: 李小亭(1958—),女,河北保定人,河北大学教授,博士生导师,主要从事光学分析及应用研究.E-mail:lxt@hbu.com
作者简介:夏立娅(1978—),女,河北临西人,河北大学副教授,博士,主要从事食品品质评定及原产地鉴别研究. E-mail:xialiya@126.com
基金资助:
国家自然科学基金资助项目(31501447);河北省自然科学基金资助项目(B2013201235);河北大学自然科学研究项目(2014-02)

Optimization of traceability model of Ziziphus jujuba geographic origin by multi-element analysis combined SIMCA

XIA Liya,LI Xiaoting,LI Xiaoyang,ZHANG Xiaoyu,YIN Jiexuan

College of Quality and Technical Supervision, Hebei University, Baoding 071002, China

Received:2016-03-01 Online:2016-07-25 Published:2016-07-25

摘要/Abstract

摘要： 为了提高冬枣产地鉴别方法的准确性,测定了69个冬枣样本中10种元素的含量,并对数据进行了差异性分析、主成分分析和簇类独立软模式分析(SIMCA).结果表明,冬枣中Mg、B、Mn、Fe、Zn等元素在不同产地间存在显著差异,利用主成分分析可以看出不同产地样本有较好的聚类趋势.在前4个主成分中,Fe、B、Mn、Zn和K元素的载荷值较高,是重要的产地识别元素.利用SIMCA建立的产地判别模型,置信水平为5%时对验证集样本判别结果最好,识别率为100%,拒绝率为78.95%.研究结果证实了农产品中多元素分析结合SICMA法可以有效用于原产地的鉴别.

关键词: 冬枣, 元素, 主成分分析, 簇类独立软模式

Abstract: In order to improve the accuracy of identification method of geographical origin,the contents of 10 elements in 69 Ziziphus jujubas were measured,and the data were analyzed by difference analysis,principal component analysis(PCA)and soft independent modeling of class analogies(SIMCA).The results showed that there were significant differences in the contents of Mg,B,Mn,Fe,Zn and other elements from different origin places.The result of PCA showed that the samples from different origins had clustering trend.In the first four principal components,the Fe,B,Mn,Zn and K elements had higher loading values,they were considered important origin elements.In the SICMA,with the 5% significance level,the identified result was best with 100% recognition rate and 78.95% rejection rate.This study confirmed that multi-element analysis with SICMA is on effective method to determine geographical origin of agricultural products.

Key words: Ziziphus jujuba, element, principal component analysis, soft independent modeling of class analogies

中图分类号:

O657.3

夏立娅,李小亭,李晓杨,张晓瑜,尹洁璇. 矿物元素结合簇类独立软模式法对冬枣产地判别模型的优化[J]. 河北大学学报(自然科学版), 2016, 36(4): 374-379.

XIA Liya,LI Xiaoting,LI Xiaoyang,ZHANG Xiaoyu,YIN Jiexuan. Optimization of traceability model of Ziziphus jujuba geographic origin by multi-element analysis combined SIMCA[J]. Journal of Hebei University (Natural Science Edition), 2016, 36(4): 374-379.

参考文献

[1] 马庆华.不同产地冬枣遗传品质差异及其栽培技术研究[D].北京:北京林业大学,2007. MA Q H.Studies on the genetic variation and the fruit quality of Zizyphus jujuba Mill.cv.Dongzao from different provenances and the cultivating technology[D].Beijing:Beijing Forestry University,2007.
[2] 马庆华,续九如,王贵禧,等.河北和山东冬枣果实品质评价及AFLP分子标记的研究[J].林业科学研究,2009,22(1):48-54. MA Q H,XU J R,WANG G X,et al.Studies on the fruit quality and AFLP markers of Ziziphus jujuba cv.Dongzao from Hebei and Shangdong provenances[J].Forest Research,2009,22(1):48-54.
[3] SUN S M,GUO B L,WEI Y M,et al.Multi-element analysis for determining the geographical origin of mutton from different regions of China[J].Food Chem,2011,124:1151-1156.DOI:10.1016/j.foodchem.2010.07.027.
[4] ARIYAMA K,SHINOZAKI M,KAWASAKI A.Determination of the geographic origin of rice by chemometrics with strontium and lead isotope ratios and multielement concentrations[J].J Agric Food Chem,2012,60:1628-1634.DX.DOI.org/10.1021/jf204296p.
[5] SCHW GELE F.Traceability from a European perspective[J].Meat Science,2005,71:164-173.
[6] MOREDA-PINEIRO A,FISHER A,HILL S J.The classification of tea according to region of origin using pattern recognition techniques and trace metal data[J].J Food Compos Anal,2003,16:195-211.
[7] LI G C,WU Z J,WANG Y H,et al.Identification of geographical origins of Schisandra fruits in China based on stable carbon isotope ratio analysis[J].Eur Food Res Technol,2011,232:797-802.
[8] COETZEE P P,STEFFENS F E,EISELEN R J,et al.Multi-element analysis of south African wines by ICP-MS and their classification according to geographical origin[J].J Agric Food Chem,2005,53:5060-5066.
[9] COSTAS-RODRÍGUEZ M,LAVILLA I,BENDICHO C.Classification of cultivated mussels from Galicia(Northwest Spain)with european protected designation of origin using trace element fingerprint and chemometric analysis[J].Anal Chim Acta,2010,664:121-128.
[10] KAORU A,TANASHI N,TOMOAKI N.Effects of fertilization,crop year,variety,and provenance factors on mineral concentrations in onions[J].J Agric Food Chem,2006,54:3341-3350.
[11] ZHAO H Y,GUO B L,WEI Y M,et al.Effects of wheat origin,genotype,and their interaction on multielement fingerprints for geographical traceability journal of agricultural and food chemistry[J].J Agric Food Chem,2012,60:10957-10962.DX.DOI.org/10.1021/jf3021283.
[12] ZHAO H Y,GUO B L,WEI Y M,et al.Determining the geographic origin of wheat using multielement analysis and multivariate statistics[J].J Agric Food Chem,2011,59:4397-4402.DX.DOI.org/10.1021/jf200108d.
[13] MARIAVITTORIA Z,CHRISTOPHE R QUETEL,EDUARDO P,et al.Soil properties,strontium isotopic signatures and multielement profiles to authenticate the origin of vegetables from small scale regions:illustration with early potatoes from southern Italy[J].Rapid Commun Mass Spectrom,2011,25:2721-2731.DOI:10.1002/cm.5081.
[14] SHEN S G,XIA L Y,XIONG N A.Determination of the geographic origin of rice by element fingerprints and correlation analyses with the soil of origin[J].Analytical Methods,2013,21(5):6177-6185.DOI:10.1039/C3ay40700d.

[1]	吴芳,王伟. 具有花状形貌LuxBi_2-xTe₃合金的制备及性能[J]. 河北大学学报(自然科学版), 2023, 43(1): 58-66.
[2]	牛晓颖,牟晓晴,孙杰,张春江,赵志磊,田特. 基于营养成分和主成分分析的驴肉与其他肉类分类研究[J]. 河北大学学报(自然科学版), 2022, 42(5): 483-493.
[3]	方志刚,秦渝,张伟,廖薇,许友. 硼元素含量对非晶态合金Co-Ni-B磁性的影响[J]. 河北大学学报(自然科学版), 2020, 40(6): 597-605.
[4]	王庭欣,肖萌,史梦凡,赵杰,刘峥颢. 隆尧鸡腿葱矿物元素含量分析[J]. 河北大学学报(自然科学版), 2020, 40(6): 612-617.
[5]	李瑞凯,侯凯旋,张丽娜,娄存广,刘秀玲. 基于太赫兹时域光谱的3种中药材真伪鉴别[J]. 河北大学学报(自然科学版), 2020, 40(4): 379-384.
[6]	夏立娅,申世刚,李超, 刘晓慧,李运思, 李姣姣. 基于阴离子特征分析的冬枣产地鉴别[J]. 河北大学学报(自然科学版), 2019, 39(1): 56-62.
[7]	李艳坤,贾明静,王涵. 中红外光谱法结合化学计量学对柏子养心丸和牛黄解毒丸的分析[J]. 河北大学学报(自然科学版), 2018, 38(3): 262-267.
[8]	刘照. 基于期望值简约的模糊非线性回归[J]. 河北大学学报(自然科学版), 2018, 38(1): 99-104.
[9]	高学伟,付忠广,孙力,张刚. 基于Hadoop分布式支持向量机球磨机大数据建模[J]. 河北大学学报(自然科学版), 2017, 37(3): 309-315.
[10]	解原,黄浩,聂晓艳,成景特. ICP-OES法同时测定RbCl产品中的14种杂质元素[J]. 河北大学学报(自然科学版), 2015, 35(5): 468-472.
[11]	李光,贺晓龙. 电感耦合等离子体光谱确定茶叶产地[J]. 河北大学学报(自然科学版), 2014, 34(3): 257-261.
[12]	肖仙谦,朱俊平,景旭,马巧娥. 基于贝叶斯方法的单分类入侵检测技术[J]. 河北大学学报(自然科学版), 2014, 34(1): 7-13.
[13]	李凯,徐治平. 一种基于半监督学习的2DPCA人脸识别方法[J]. 河北大学学报(自然科学版), 2013, 33(4): 413-419.
[14]	王庭欣,陈永刚,张晓瑜,夏立娅,李小亭. 冬枣中果糖、葡萄糖、蔗糖的高效液相色谱分析[J]. 河北大学学报(自然科学版), 2012, 32(5): 528-531.
[15]	黄青鹤,陈建龙. 左拟morphic群环的性质[J]. 河北大学学报(自然科学版), 2011, 31(6): 581-585.

矿物元素结合簇类独立软模式法对冬枣产地判别模型的优化

Optimization of traceability model of Ziziphus jujuba geographic origin by multi-element analysis combined SIMCA

PDF (PC)

可视化

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 15

编辑推荐

Metrics

本文评价