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作 者:贺媛媛 孙倩倩[1] 郭波莉[1] 张磊[1] HE Yuanyuan;SUN Qinqian;GUO Boli;ZHANG Lei(Institute of Food Science and Technology,Chinese Academy of Agricultural Sciences,Beijing 100193)
机构地区:[1]中国农业科学院农产品加工研究所,北京100193
出 处:《核农学报》2021年第7期1565-1573,共9页Journal of Nuclear Agricultural Sciences
基 金:“进出口药食同源产品质量检测技术研究”项目(2017YFF0211004)。
摘 要:为明确矿质元素指纹对粉葛产地鉴别的可行性,筛选出鉴别粉葛产地的有效指标,本研究采用电感耦合等离子体质谱仪(ICP-MS)测定陕西、湖北、广西3个地域粉葛和土壤样品中B、Na、Mg、P、K、Ca、Mn、Co、Cu、Zn、Rb、Sr、Mo、Cd、Cs、Ba、La、Ce、Pr、Nd、Sm和Ti 22种矿质元素含量,并结合主成分分析、逐步判别分析和聚类分析对不同地域样品进行分类。结果表明,除B、Cu元素外,其余元素含量在不同地域粉葛间均存在显著差异(P<0.05);不同地域间粉葛矿质元素含量表现出独有的地理指纹特征,经逐步判别分析筛选出Mg、P、Co、Rb和Sr 5种元素,经回代检验和交叉检验的整体判别率分别为97.7%和93.0%;相关性分析结果表明,粉葛中Rb、Sr和Ti元素含量与对应土壤中的元素呈极显著正相关(P<0.01)。因此,矿质元素指纹结合多元统计分析能够在一定程度上实现不同产地粉葛的鉴别,这为粉葛产地溯源的可行性提供了技术支持。The aim of this study was to determine the feasibility of mineral element fingerprints in geographical origin traceability of Puerariae thomsonii Radix(Fenge) and selected effective indicators to identify the origin of Fenge. The contents of 22 mineral elements(B, Na, Mg, P, K, Ca, Mn, Co, Cu, Zn, Rb, Sr, Mo, Cd, Cs, Ba, La, Ce, Pr, Nd, Sm and Ti) in Fenge samples from Shaanxi, Hubei and Guangxi in China were determined by inductively coupled plasma mass spectrometry(ICP-MS). Furthermore, principal component analysis, stepwise discriminant analysis and cluster analysis were combined to classify the geographical origin of Fenge. It was verified that except for B and Cu, there were significant differences in all the other elements, among different regions(P<0.05). The content of mineral elements in different regions showed unique geographical fingerprint characteristics. Five elements of Mg, P, Co, Rb and Sr were screened out by stepwise discriminant analysis, and the overall discriminant rates of the original test and cross validation were 97.7% and 93.0%, respectively. Pearson correlation analysis showed that Rb, Sr and Ti in Fenge were significantly positively correlated with their element contents in corresponding soils(P<0.01). Therefore, to a certain extent, Fenge from different regions can be identified by the fingerprint of mineral elements combined with multivariate statistical analysis, which provides technical support for the feasibility of tracing the origin of Fenge.
关 键 词:粉葛 矿质元素指纹 电感耦合等离子体质谱(ICP-MS) 化学计量学分析 产地鉴别
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