Geographical origin classification of olive oils by PTR-MS
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- 作者：Nooshin Araghipour ; Jennifer Colineau ; Alex Koot ; Wies Akkermans ; Jose Manuel Moreno Rojas ; Jonathan Beauchamp ; Armin Wisthaler ; Tilmann D. Mä ; rk ; Gerard Downey ; Claude Guillou ; Luisa Mannina ; Sa
- 关键词：Chemometrics ; Olive oil ; Origin classification ; PTR-MS ; PLS-DA
- 刊名：Food Chemistry
- 出版年：2008
- 出版时间：1 May 2008
- 年：2008
- 卷：108
- 期：1
- 页码：374-383
- 全文大小：511 K
文摘
The volatile compositions of 192 olive oil samples from five different European countries were investigated by PTR-MS sample headspace analysis. The mass spectra of all samples showed many masses with high abundances, indicating the complex VOC composition of olive oil. Three different PLS-DA models were fitted to the data to classify samples into ‘country’, ‘region’ and ‘district’ of origin, respectively. Correct classification rates were assessed by cross-validation. The first fitted model produced an 86 % success rate in classifying the samples into their country of origin. The second model, which was fitted to the Italian oils only, also demonstrated satisfactory results, with 74 % of samples successfully classified into region of origin. The third model, classifying the Italian samples into district of origin, yielded a success rate of only 52 % . This lower success rate might be due to either the small class set, or to genuine similarities between olive oil VOC compositions on this tight scale.