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| Multi-element analysis of Baijiu (Chinese liquors) by ICP-MS and their classification according to geographical origin |
| Xuebo Song*,**, Min Hou**, Zhi Li***, Lin Zhu**, Fuping Zheng*,**, Mingquan Huang*,**, Xiaotao Sun*,**, Hehe Li*,**, Feng Chen*,****and Baoguo Sun*,** |
| *Beijing Advanced Innovation Center for Food Nutrition and Human Health, Beijing Technology and Business University, Beijing, China, **Beijing Laboratory for Food Quality and Safety, Beijing Technology and Business University, Beijing, China, ***Thermo Fisher Scientific (China), Inc., Beijing, China, ****Department of Food, Nutrition and Packaging Sciences, Clemson University, South Carolina, USA |
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Abstract Objectives
Investigating the element profiles of Be, Al, V, Cr, Mn, Fe, Co, Ni, Cu, Zn, As, Se, Rb, Sr, Ag, Cd, Cs, La, Pr, Nd, Sm, Eu, Gd, Pb, Th, and U of Baijiu (Chinese liquors), and setting up their classification according to geographical origin.
Materials and Methods
Twenty-eight Chinese liquors from Shandong, Guizhou, and Sichuan provinces were analyzed by inductively coupled plasma mass spectrometry with the aid of matrix matching, online internal calibration, and direct injection to determine the concentrations of the aforementioned 26 elements. Multivariate statistical analysis, based on the contents of elements in the liquors, was applied to differentiate the liquors from different origins.
Results
Both the cluster analysis based on 11 elements and the discriminant analysis based on 5 elements can separate the liquors of Shandong Province from others. A leave-one-out cross test of the discriminant analysis data resulted in 100 per cent accuracy regarding the recognition ability and prediction ability for the liquors from Shandong Province, and an overall 75.0 per cent accuracy of its prediction for all the 28 total liquors.
Limitations
The liquors of Guizhou and Sichuan provinces can not be differentiated successfully.
Conclusions
The liquors produced in Shandong Province can be differentiated in a great extent from Guizhou and Sichuan provinces based on the multivariate statistical analysis of the concentration of elements in liquors, while those of Guizhou and Sichuan provinces can not be differentiated successfully due to their geographical adjacency.
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Published: 01 March 2018
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Corresponding Authors:
Fuping Zheng, School of Food Science and Chemical Engineering, Beijing Technology and Business University, Haidian District, Beijing 100048, China.
E-mail: zhengfp@btbu.edu.cn
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Cite this article:
Xuebo Song, Min Hou, Zhi Li, Lin Zhu, Fuping Zheng, Mingquan Huang, Xiaotao Sun, Hehe Li, Feng Chen, Baoguo Sun. Multi-element analysis of Baijiu (Chinese liquors) by ICP-MS and their classification according to geographical origin. Food Qual Safet, 2018, 2(1): 43-49.
URL:
http://www.zjujournals.com/fqs/10.1093/fqsafe/fyx030 OR http://www.zjujournals.com/fqs/Y2018/V2/I1/43
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电感耦合等离子体质谱法分析中国白酒多元素及其地理来源分类
【目标】指纹分析白酒中Be，Al，V，Cr，Mn，Fe，Co，Ni，Cu，Zn，As，Se，Rb，Sr，Ag，Cd，Cs，La，Pr，Nd，Sm，Eu，Gd ，Pb，Th和U，并根据地理来源进行分类。
【材料和方法】通过电感耦合等离子体质谱法结合在线内部校准和直接进样分析山东、贵州和四川省的28种中国白酒中26种元素的浓度。对酒中不同元素含量进行多元统计分析，应用于区分不同来源的白酒。
【结果】基于11个元素的聚类分析和基于5个元素的判别分析可以将山东省的酒与其他酒分开。剔除实验结果显示对山东省酒类的识别能力和预测能力准确率达到100％，对所有28种酒类的预测准确率达到75.0％。
【限制】贵州和四川省的白酒无法成功区分。
【结论】根据对不同省份白酒中元素浓度的多元统计分析，山东省产生的酒在很大程度上可以与贵州和四川省区分开来，而贵州和四川省的酒因其地理位置相邻而无法成功区分。
关键词：
电感耦合等离子体质谱法,
白酒,
中国白酒,
元素,
多元统计
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