Department of Analytical Chemistry, Institute of Fine Chemistry and Nanochemistry, Marie Curie Annex Building, Campus de Rabanales, 14071 Córdoba, Spain.
Department of Animal Production, University of Córdoba, Campus de Rabanales, E-14071 Córdoba, Spain.
Food Chem. 2018 Apr 25;246:65-73. doi: 10.1016/j.foodchem.2017.11.008. Epub 2017 Nov 4.
The data obtained with a polar or non-polar gas chromatography (GC) column coupled to ion mobility spectrometry (IMS) has been explored to classify Iberian ham, to detect possible frauds in their labelling. GC-IMS was used to detect the volatile compound profile of dry-cured Iberian ham from pigs fattened on acorn and pasture or on feed. Due to the two-dimensional nature of GC-IMS measurements, great quantities of data are obtained and an exhaustive chemometric processing is required. A first approach was based on the processing of the complete spectral fingerprint, while the second consisted of the selection of individual markers that appeared throughout the spectra. A classification rate of 90% was obtained with the first strategy, and the second approach correctly classified all Iberian ham samples according to the pigs' diet (classification rate of 100%). No significant differences were found between the GC columns tested in terms of classification rate.
利用与离子迁移谱（IMS）耦合的极性或非极性气相色谱（GC）柱获得的数据已被探索用于对伊比利亚火腿进行分类，以检测其标签中可能存在的欺诈行为。GC-IMS 用于检测在橡子和牧场或饲料上育肥的猪的干腌伊比利亚火腿的挥发性化合物特征。由于 GC-IMS 测量的二维性质，会获得大量的数据，因此需要进行详尽的化学计量学处理。第一种方法基于处理完整的光谱指纹，而第二种方法包括选择在整个光谱中出现的单个标记。第一种策略的分类率达到 90%，第二种方法根据猪的饮食正确地对所有伊比利亚火腿样品进行了分类（分类率为 100%）。在所测试的 GC 柱之间，在分类率方面没有发现显著差异。
