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Food and Fermentation Industries    2022, Vol. 48 Issue (20) : 265-271     DOI: 10.13995/j.cnki.11-1802/ts.030579
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Discriminant analysis of wines from different regions of China based on mineral elements
LI Caihong, KAI Jianrong, YAN Yue, GE Qian, WANG Fang, ZHANG Jing, YANG Chunxia, WANG Caiyan*
(Ningxia Research Institute of Quality Standards and Testing Technology of Agricultural Products, Yinchuan 750002, China)
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Abstract  By analyzing the differences of mineral element contents in wines from different producing areas in China, combined with stoichiometry, the effective traceability indexes were screened out, and a wine origin discrimination model was constructed. In this study, 72 Cabernet Sauvignon wine samples were collected from six producing areas, including East Helan Mountain Area, Shacheng, Qingxu, Wuwei, Bohai Bay and Yunnan Plateau. The contents of 58 mineral elements such as Ag, Al and As were determined using microwave digestion-inductively coupled plasma mass spectrometry. Combined with analysis of variance (ANOVA), principal component analysis (PCA) and Fisher discriminant analysis, an origin traceability model of wines was constructed. The contents of 35 mineral elements out of 58 in wines were significantly different in different producing areas. Through PCA, 14 principal components were extracted from 58 mineral elements, representing 85.351% information of the total indexes. The discrimination model based on Fisher discriminant analysis was constructed. The overall rates of correct discrimination of back substitution test and cross test were 98.6% and 84.7%, respectively, which can basically discriminate wines from different producing areas. This study proves that the mineral element traceability technique can be used to discriminate the origin of wines.
Keywords wine      mineral element      origin      discriminant analysis      model     
Issue Date: 18 November 2022
URL:  
http://sf1970.cnif.cn/EN/10.13995/j.cnki.11-1802/ts.030579     OR     http://sf1970.cnif.cn/EN/Y2022/V48/I20/265
[1] 申雪, 袁玉伟, 聂晶, 等.稳定同位素在葡萄酒产地溯源中的研究进展[J].中外葡萄与葡萄酒, 2020(6):60-65.SHEN X, YUAN Y W, NIE J, et al.Research progress of stable isotopes in wine origin tracing[J].Sino-Overseas Grapevine & Wine, 2020(6):60-65.
[2] 李彩虹, 开建荣, 王彩艳, 等.基于矿物元素技术的品种、产区葡萄酒的判别分析[J].食品与发酵工业, 2022,48(12):281-289.LI C H, KAI J R, WANG C Y, et al.Discriminant analysis of wine variety and origin based on mineral element technology[J].Food and Fermentation Industries, 2022,48(12):281-289.
[3] 杜晓宁, 张鹏帅, 雷雯, 等.稳定同位素技术在我国食品安全检测领域的应用进展[J].同位素, 2019, 32(3):231-243.DU X N, ZHANG P S, LEI W, et al.Application of stable isotope technique in food safety field[J].Journal of Isotopes, 2019, 32(3):231-243.
[4] 张龙. 植源性农产品溯源以及鉴别技术研究[D].杭州:浙江大学, 2012.ZHANG L.The trace and authentication technologies on plant derived agricultural products[D].Hangzhou:Zhejiang University, 2012.
[5] 卢诗扬, 张雷蕾, 潘家荣, 等.特色农产品产地溯源技术研究进展[J].食品安全质量检测学报, 2020, 11(14):4 849-4 855.LU S Y, ZHANG L L, PAN J R, et al.Research progress on origin traceability technology of characteristic agricultural products[J].Journal of Food Safety and Quality, 2020, 11(14):4 849-4 855.
[6] 马楠, 鹿保鑫, 刘雪娇, 等.矿物元素指纹图谱技术及其在农产品产地溯源中的应用[J].现代农业科技, 2016(9):296-298.MA N, LU B X, LIU X J, et al.Technology of mineral elements fingerprint and its application in origin traceability of agricultural production[J].Modern Agricultural Science and Technology, 2016(9):296-298.
[7] BERTOLDI D, COSSIGNANI L, BLASI F, et al.Characterisation and geographical traceability of Italian goji berries[J].Food Chemistry, 2019, 275:585-593.
[8] BENNION M, MORRISON L, BROPHY D, et al.Trace element fingerprinting of blue mussel (Mytilus edulis) shells and soft tissues successfully reveals harvesting locations[J].Science of the Total Environment, 2019, 685:50-58.
[9] 何伟忠, 赵多勇, 范盈盈, 等.新疆红枣营养品质与稳定同位素及矿物元素特征产地溯源比较[J].核农学报, 2021, 35(5):1 099-1 112.HE W Z, ZHAO D Y, FAN Y Y, et al.Comparison of the nutrient quality, stable isotope and multi-element characteristics of Xinjiang jujube for origin traceability[J].Journal of Nuclear Agricultural Sciences, 2021, 35(5):1 099-1 112.
[10] 宋向飞. 基于矿质元素指纹图谱技术的碧螺春茶产地溯源研究[D].南京:南京农业大学, 2018.SONG X F.Study on the geographical origin Biluochun tea based on mineral element fingerprinting technology[D].Nanjing:Nanjing Agricultural University, 2018.
[11] 王洁, 伊晓云, 倪康, 等.基于稀土元素指纹的扁形茶产地判别分析[J].浙江农业科学, 2016, 57(7):1 118-1 124.WANG J, YI X Y, NI K, et al.Discriminant analysis of the origin of flat tea based on fingerprint of rare earth elements[J].Journal of Zhejiang Agricultural Sciences, 2016, 57(7):1 118-1 124.
[12] MA G C, ZHANG Y B, ZHANG J Y, et al.Determining the geographical origin of Chinese green tea by linear discriminant analysis of trace metals and rare earth elements:Taking Dongting Biluochun as an example[J].Food Control, 2016, 59:714-720.
[13] 李艳敏, 张立严, 狄红梅.主成分和判别分析在清香型白酒产地溯源中的应用[J].中国酿造, 2018, 37(1):145-148.LI Y M, ZHANG L Y, DI H M.Application of principal component analysis and discriminant analysis in origin traceability of light-flavor Baijiu[J].China Brewing, 2018, 37(1):145-148.
[14] 高云, 郁志芳.基于主成分分析的芹菜品质评价[J].食品工业科技, 2020, 41(3):308-314;320.GAO Y, YU Z F.Quality evaluation of celery based on principal component analysis[J].Science and Technology of Food Industry, 2020, 41(3):308-314;320.
[15] LIU Z, ZHANG W X, ZHANG Y Z, et al.Assuring food safety and traceability of polished rice from different production regions in China and Southeast Asia using chemometric models[J].Food Control, 2019, (99):1-10.
[16] 张腊腊, 韩明虎, 胡浩斌, 等.基于主成分分析的苹果品质综合评价[J].江苏农业科学, 2020, 48(3):209-213.ZHANG L L, HAN M H, HU H B, et al.Comprehensive evaluation of apple quality based on principal component analysis[J].Jiangsu Agricultural Sciences, 2020, 48(3):209-213.
[17] CHENG H, QIN Z H, GUO X F, et al.Geographical origin identification of propolis using GC-MS and electronic nose combined with principal component analysis[J].Food Research International, 2013, 51(2):813-822.
[18] 张梦潇, 周文化, 莫华, 等.不同品种紫薯粉鲜湿面条的品质特性及主成分分析[J].食品工业科技, 2020, 41(1):79-85;124.ZHANG M X, ZHOU W H, MO H, et al.Quality characteristics and principal component analysis of fresh noodles with purple sweet potato flour of different varieties[J].Science and Technology of Food Industry, 2020, 41(1):79-85;124.
[19] 李安, 陈秋生, 赵杰, 等.基于稳定同位素与稀土元素指纹特征的大桃产地判别分析[J].食品科学, 2020, 41(6):322-328.LI A, CHEN Q S, ZHAO J, et al.Discriminations of the geographical origin of peach based on stable isotope and rare earth element fingerprint characteristics[J].Food Science, 2020, 41(6):322-328.
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