Please use this identifier to cite or link to this item: http://hdl.handle.net/11455/99067
標題: Discrimination of Geographical Origin of Asian Garlic Using Isotopic and Chemical Datasets under Stepwise Principal Component Analysis
作者: Liu, Tsang-Sen
Lin, Jhen-Nan
Peng, Tsung-Ren
彭宗仁
關鍵字: discrimination model test;discrimination of country of origin for garlic;forensic science;principal component analysis (PCA);stable isotopes;trace elements;Asia;Carbon Isotopes;Garlic;Hydrogen;Isotopes;Mass Spectrometry;Nitrogen Isotopes;Oxygen Isotopes;Trace Elements;Agriculture;Principal Component Analysis
Project: Journal of forensic sciences, Volume 63, Issue 5, Page(s) 1366-1373.
摘要: 
Isotopic compositions of δ2 H, δ18 O, δ13 C, and δ15 N and concentrations of 22 trace elements from garlic samples were analyzed and processed with stepwise principal component analysis (PCA) to discriminate garlic's country of origin among Asian regions including South Korea, Vietnam, Taiwan, and China. Results indicate that there is no single trace-element concentration or isotopic composition that can accomplish the study's purpose and the stepwise PCA approach proposed does allow for discrimination between countries on a regional basis. Sequentially, Step-1 PCA distinguishes garlic's country of origin among Taiwanese, South Korean, and Vietnamese samples; Step-2 PCA discriminates Chinese garlic from South Korean garlic; and Step-3 and Step-4 PCA, Chinese garlic from Vietnamese garlic. In model tests, countries of origin of all audit samples were correctly discriminated by stepwise PCA. Consequently, this study demonstrates that stepwise PCA as applied is a simple and effective approach to discriminating country of origin among Asian garlics.
URI: http://hdl.handle.net/11455/99067
DOI: 10.1111/1556-4029.13731
Appears in Collections:土壤環境科學系

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