摘要
目的建立一种基于元素与有机成分融合指纹技术的分析方法,实现对我国浙江、福建及云南等主要产区东魁杨梅的精准产地溯源。方法采集浙江(台州、金华、温州)、福建和云南5个主产区的东魁杨梅样本,综合应用电感耦合等离子体质谱法(inductively coupled plasma mass spectrometry,ICP-MS)、分光光度法、酸碱滴定法及离子色谱法,系统测定其矿物元素含量及总花色苷、可滴定酸、糖酸比、固酸比等有机成分指标,结合主成分分析(principal component analysis,PCA)、Fisher判别分析和方差分析等化学计量学方法构建产地判别模型。结果不同产区杨梅在Al、Ti、Fe、Ni、Cu、Zn、Ga、Sr、Cd、Sn、Sb、Pb等12种元素含量上具有明显差异,其中云南产区在Al、Ti、Fe、Cu、Zn、Ga、Cd、Sn等元素含量上最高,福建产区的Ni、Cd、Pb含量最低。有机成分中,总花色苷、可滴定酸、糖酸比与固酸比亦呈现显著产地差异(P<0.05)。基于融合数据建立的判别模型,在PCA图中3个产地的样本点区分明显,云南与福建、浙江无重叠,福建与浙江仅个别重叠。初始判别准确率达97.3%,交叉验证判别率为94.7%,显著优于单一成分分析方法。结论元素与有机成分融合指纹技术结合化学计量学分析,能够有效实现东魁杨梅的产地精准判别,为农产品产地溯源与地理标志保护提供了可靠的多技术联用策略。
Objective To establish an analytical method based on the fusion fingerprint technology of elements and organic components,achieve precise origin tracing of Myrica rubra‘Dongkui’from major production areas such as Zhejiang,Fujian and Yunnan in China.Methods Myrica rubra‘Dongkui’samples were collected from 5 representative regions in Zhejiang(Taizhou,Jinhua,Wenzhou),Fujian and Yunnan.Inductively coupled plasma mass spectrometry(ICP-MS),spectrophotometry,acid–base titration and ion chromatography were employed to determine mineral elements and organic components,including total anthocyanins,titratable acidity,sugar-to-acid ratio,and solid-to-acid ratio.Chemometric methods such as principal component analysis(PCA),Fisher discriminant analysis,and analysis of variance were applied to construct a discriminant model for origin identification.Results There were significant differences in the content of 12 kinds of elements including Al,Ti,Fe,Ni,Cu,Zn,Ga,Sr,Cd,Sn,Sb and Pb among different production areas of Myrica rubra.Among them,the content of Al,Ti,Fe,Cu,Zn,Ga,Cd and Sn in the Yunnan production area were the highest,while the content of Ni,Cd and Pb in the Fujian production area were the lowest.In terms of organic components,total anthocyanins,titratable acid,sugar-acid ratio and solid-acid ratio also showed significant differences among production areas(P<0.05).Based on the discriminant model established using fused data,the sample points from the three origins were clearly distinguished in the PCA plot,with no overlap between Yunnan and Fujian/Zhejiang,and only occasional overlap between Fujian and Zhejiang.The initial discriminant accuracy reached 97.3%,and the cross-validation discriminant rate was 94.7%,which was significantly superior to single-component analysis methods.Conclusion The integration of fingerprint technology for elemental and organic components combined with chemometric analysis can effectively achieve the accurate discrimination of the origin of Myrica rubra‘Dongkui’,providing a reliable multi-technique combined strategy for the origin traceability and geographical indication protection of agricultural products.
作者
邱继善
张今君
金佳倩
程文聪
夏慧丽
QIU Ji-Shan;ZHANG Jin-Jun;JIN Jia-Qian;CHENG Wen-Cong;XIA Hui-Li(Taizhou Institute for Food and Drug Control,Taizhou Key Laboratory for Safety and Quality Enhancement of Characteristic Agricultural Products,Taizhou 318000,China)
出处
《食品安全质量检测学报》
2026年第4期307-315,共9页
Journal of Food Safety and Quality
基金
浙江省市场监督管理局青年科技基金资助项目(QN2023454)。
关键词
杨梅
产地溯源
矿物元素
有机成分
化学计量学
Myrica rubra
geographical origin traceability
mineral elements
organic components
chemometrics
