郭 颖,陈国艳,陈雪峰,王 忻,孙婧涵,和霁恬,杨 瑾,曾繁添,放茂良,陶 银,刘付英,杨水艳,毛金蓉.电感耦合等离子体质谱法及主成分分析法研究不同产地美藤果19种元素的差异[J].食品安全质量检测学报,2026,17(1):261-269
电感耦合等离子体质谱法及主成分分析法研究不同产地美藤果19种元素的差异
Study on the differences of 19 kinds of elements in Plukenetia volubilis Linneo from different origins by inductively coupled plasma mass spectrometry and principal component analysis
投稿时间:2025-08-29  修订日期:2025-12-25
DOI:
中文关键词:  ICP-MS  美藤果  主成分分析  相关性分析
英文关键词:inductively coupled plasma mass spectrometry  Plukenetia volubilis Linneo  principal component analysis  correlation analysis
基金项目:
作者单位
郭 颖 1.云南省粮油科学研究院(云南省粮油产品质量监督检验测试中心) 
陈国艳 1.云南省粮油科学研究院(云南省粮油产品质量监督检验测试中心) 
陈雪峰 1.云南省粮油科学研究院(云南省粮油产品质量监督检验测试中心) 
王 忻 1.云南省粮油科学研究院(云南省粮油产品质量监督检验测试中心) 
孙婧涵 1.云南省粮油科学研究院(云南省粮油产品质量监督检验测试中心) 
和霁恬 1.云南省粮油科学研究院(云南省粮油产品质量监督检验测试中心) 
杨 瑾 1.云南省粮油科学研究院(云南省粮油产品质量监督检验测试中心) 
曾繁添 1.云南省粮油科学研究院(云南省粮油产品质量监督检验测试中心) 
放茂良 1.云南省粮油科学研究院(云南省粮油产品质量监督检验测试中心) 
陶 银 1.云南省粮油科学研究院(云南省粮油产品质量监督检验测试中心) 
刘付英 1.云南省粮油科学研究院(云南省粮油产品质量监督检验测试中心) 
杨水艳 1.云南省粮油科学研究院(云南省粮油产品质量监督检验测试中心) 
毛金蓉 1.云南省粮油科学研究院(云南省粮油产品质量监督检验测试中心) 
AuthorInstitution
GUO Ying 1.Yunnan Academy of Grain and Oil Sciences (Yunnan Grain and Oil Products Quality Supervision, Inspection and Testing Center) 
CHEN Guo-Yan 1.Yunnan Academy of Grain and Oil Sciences (Yunnan Grain and Oil Products Quality Supervision, Inspection and Testing Center) 
CHEN Xue-Feng 1.Yunnan Academy of Grain and Oil Sciences (Yunnan Grain and Oil Products Quality Supervision, Inspection and Testing Center) 
WANG Xin 1.Yunnan Academy of Grain and Oil Sciences (Yunnan Grain and Oil Products Quality Supervision, Inspection and Testing Center) 
SUN Jing-Han 1.Yunnan Academy of Grain and Oil Sciences (Yunnan Grain and Oil Products Quality Supervision, Inspection and Testing Center) 
HE Ji-Tian 1.Yunnan Academy of Grain and Oil Sciences (Yunnan Grain and Oil Products Quality Supervision, Inspection and Testing Center) 
YANG Jin 1.Yunnan Academy of Grain and Oil Sciences (Yunnan Grain and Oil Products Quality Supervision, Inspection and Testing Center) 
ZENG Fan-Tian 1.Yunnan Academy of Grain and Oil Sciences (Yunnan Grain and Oil Products Quality Supervision, Inspection and Testing Center) 
FANG Mao-Liang 1.Yunnan Academy of Grain and Oil Sciences (Yunnan Grain and Oil Products Quality Supervision, Inspection and Testing Center) 
TAO Yin 1.Yunnan Academy of Grain and Oil Sciences (Yunnan Grain and Oil Products Quality Supervision, Inspection and Testing Center) 
LIU Fu-Ying 1.Yunnan Academy of Grain and Oil Sciences (Yunnan Grain and Oil Products Quality Supervision, Inspection and Testing Center) 
YANG Shui-Yan 1.Yunnan Academy of Grain and Oil Sciences (Yunnan Grain and Oil Products Quality Supervision, Inspection and Testing Center) 
MAO Jin-Rong 1.Yunnan Academy of Grain and Oil Sciences (Yunnan Grain and Oil Products Quality Supervision, Inspection and Testing Center) 
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中文摘要:
      目的 建立电感耦合等离子体质谱法(inductively coupled plasma mass spectrometry, ICP-MS)测定美藤果中19种元素含量的分析方法, 以评价不同产地美藤果的质量差异元素分布特征与质量差异。方法 对云南西双版纳、红河、普洱及泰国、老挝共33批次美藤果样品进行微波消解, 采用ICP-MS测定Co、Ni、As等19种元素含量; 通过线性关系、精密度、重复性及回收率验证方法有效性, 并进行主成分和相关性分析。结果 方法线性关系良好(r2>0.9990), 精密度优异(相对标准偏差小于2%), 准确度可靠(加标回收率为90.3%~116.8%), 主成分分析累计方差贡献率达82.854%, 确定美藤果的特征元素为Zn、Cd、Sr、Mn、Cr、Pb、Ti, 相关性分析可知, 元素间的相关性较强。结论 ICP-MS能准确、快速地测定美藤果中19种元素的含量, 为评价不同产地美藤果质量提供了可靠方法, 并通过特征元素分析为完善美藤果的质量标准提供了重要参考。
英文摘要:
      Objective To establish an inductively coupled plasma mass spectrometry (ICP-MS) for the determination of 19 kinds of elements in Plukenetia volubilis Linneo, evaluate the elemental distribution characteristics and quality differences of quality variance element of Plukenetia volubilis Linneo from different producing areas. Methods A total of 33 batches of Plukenetia volubilis Linneo samples from Xishuangbanna, Honghe, Puer (Yunnan Province), Thailand and Laos were subjected to microwave digestion. The content of 19 kinds of elements including Co, Ni and As were determined by ICP-MS. The method validity was verified by linear relationship, precision, repeatability and recovery rate, and principal component analysis and correlation analysis were performed. Results The method showed good linearity (r2>0.9990), excellent precision (relative standard deviation<2%) and reliable accuracy (spiked recovery rate: 90.3%–116.8%). The cumulative variance contribution rate of principal component analysis reached 82.854%, and the characteristic elements of Plukenetia volubilis Linneo were identified as Zn, Cd, Sr, Mn, Cr, Pb and Ti. Correlation analysis indicated strong correlations among the elements. Conclusion The ICP-MS method can accurately and rapidly determine the content of 19 kinds of elements in Plukenetia volubilis Linneo, providing a reliable approach for evaluating the quality of Plukenetia volubilis Linneo from different producing areas. The analysis of characteristic elements also offers important reference for improving the quality standards of Plukenetia volubilis Linneo.
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