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作 者:王广西[1] 胡燕[1] 罗琼[1] 李丹[1] 陈诚[1] 赖万昌[1] 翟娟[1]
机构地区:[1]成都理工大学核技术与自动化工程学院,成都610059
出 处:《分析试验室》2017年第6期663-666,共4页Chinese Journal of Analysis Laboratory
基 金:国家自然科学基金(41574128);四川省科技计划项目(2016JY0208);四川省教育厅自然科学重点项目(15ZA0070);四川省教育厅项目(16ZB0106)资助
摘 要:采用波长色散X射线荧光光谱法(WDXRF)对小麦籽粒中Mn,Fe,Cu,Zn,Ca,Mg,P,K和S含量进行测定,讨论了不同产地小麦籽粒中矿质元素含量。运用主成分分析提取2个主成分、建立了主成分方程,利用聚类分析对小麦产地进行识别。结果表明,不同产地小麦籽粒中矿质元素含量差异明显。前2个主成分累积方差贡献率达到82.0%,黑龙江和内蒙古产地的小麦籽粒样品品质较优。在阈值为3.5的水平上将小麦籽粒样品聚为6类,可以实现小麦籽粒样品产地的初步鉴别。用WDXRF法结合化学计量学方法可揭示小麦籽粒样品中矿质元素含量差异及进行产地识别。9 mineral elements, Mn, Fe, Cu, Zn, Ca, Mg, P, K and S in wheat grains weredetermined by wavelength dispersive X-ray fluorescence spectrometry. The contents of mineral element in wheat grains from different geographical originswerediscussed. Two principal components were extracted, and principal component equations were set up by the analysis of principal component. The geographical origins of wheat could beidentified by cluster analysis. The results showed that the contents of mineral element from different geographical origins had obvious difference. The two principal components accounted for 82.0% cumulative variance contribution rate, and the quality of the wheat grains from Heilongjiang and Inner Mongolia was good. The samples of wheat grains were clustered into 6 groups at the threshold of 3.5 level, which could come true preliminary identifieation of geographical origins. So, the combination of WDXRF and chemometrics methods could reveal content difference of mineral elements and identifygeographical origins in wheat grain samples.
关 键 词:波长色散X射线荧光光谱法 小麦籽粒 矿质元素 主成分分析 聚类分析
分 类 号:TS201.4[轻工技术与工程—食品科学]
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