Staff Publications

Staff Publications

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    'Staff publications' is the digital repository of Wageningen University & Research

    'Staff publications' contains references to publications authored by Wageningen University staff from 1976 onward.

    Publications authored by the staff of the Research Institutes are available from 1995 onwards.

    Full text documents are added when available. The database is updated daily and currently holds about 240,000 items, of which 72,000 in open access.

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Record number 433531
Title Geographical provenance of palm oil by fatty acid and volatile compound fingerprinting techniques
Author(s) Tres, A.; Ruiz - Samblas, C.; Veer, G. van der; Ruth, S.M. van
Source Food Chemistry 137 (2013)1-4. - ISSN 0308-8146 - p. 142 - 150.
DOI http://dx.doi.org/10.1016/j.foodchem.2012.09.094
Department(s) RIKILT - BU Authenticity & Nutrients
RIKILT - Analyse & Ontwikkeling
Publication type Refereed Article in a scientific journal
Publication year 2013
Keyword(s) reaction-mass-spectrometry - virgin olive oil - ptr-ms - products - origin - food
Abstract Analytical methods are required in addition to administrative controls to verify the geographical origin of vegetable oils such as palm oil in an objective manner. In this study the application of fatty acid and volatile organic compound fingerprinting in combination with chemometrics have been applied to verify the geographical origin of crude palm oil (continental scale). For this purpose 94 crude palm oil samples were collected from South East Asia (55), South America (11) and Africa (28). Partial least squares discriminant analysis (PLS-DA) was used to develop a hierarchical classification model by combining two consecutive binary PLS-DA models. First, a PLS-DA model was built to distinguish South East Asian from non-South East Asian palm oil samples. Then a second model was developed, only for the non-Asian samples, to discriminate African from South American crude palm oil. Models were externally validated by using them to predict the identity of new authentic samples. The fatty acid fingerprinting model revealed three misclassified samples. The volatile compound fingerprinting models showed an 88%, 100% and 100% accuracy for the South East Asian, African and American class, respectively. The verification of the geographical origin of crude palm oil is feasible by fatty acid and volatile compound fingerprinting. Further research is required to further validate the approach and to increase its spatial specificity to country/province scale.
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