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脂肪酸和挥发性化合物指纹图谱技术鉴定棕榈油的地理来源。

Geographical provenance of palm oil by fatty acid and volatile compound fingerprinting techniques.

机构信息

RIKILT, Wageningen University and Research Centre, Akkermaalsbos 2, 6708 WB Wageningen, The Netherlands.

出版信息

Food Chem. 2013 Apr 15;137(1-4):142-50. doi: 10.1016/j.foodchem.2012.09.094. Epub 2012 Oct 24.

DOI:10.1016/j.foodchem.2012.09.094
PMID:23200002
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.

摘要

除了行政控制之外,还需要分析方法来客观地验证植物油(如棕榈油)的地理来源。在这项研究中,应用脂肪酸和挥发性有机化合物指纹图谱结合化学计量学,验证了未经精炼的棕榈油(大陆范围)的地理来源。为此,从东南亚(55 个)、南美洲(11 个)和非洲(28 个)收集了 94 个未经精炼的棕榈油样本。偏最小二乘判别分析(PLS-DA)用于通过组合两个连续的二元 PLS-DA 模型来开发分层分类模型。首先,建立一个 PLS-DA 模型来区分来自东南亚和非东南亚的棕榈油样本。然后,为非亚洲样本开发了第二个模型,以区分非洲和南美的未经精炼的棕榈油。通过使用这些模型来预测新真实样本的身份,对模型进行了外部验证。脂肪酸指纹图谱模型显示有三个样本被错误分类。挥发性化合物指纹图谱模型对东南亚、非洲和美洲类别分别显示了 88%、100%和 100%的准确率。通过脂肪酸和挥发性化合物指纹图谱验证未经精炼的棕榈油的地理来源是可行的。需要进一步研究以进一步验证该方法,并提高其空间特异性,达到国家/省份规模。

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