Target vs spectral fingerprint data analysis of Iberian ham samples for avoiding labelling fraud using headspace - gas chromatography-ion mobility spectrometry
Target vs spectral fingerprint data analysis of Iberian ham samples for avoiding labelling fraud using headspace - gas chromatography-ion mobility spectrometry
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DOI：
10.1016/j.foodchem.2017.11.008
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发表时间：
2018-04-25
期刊：
影响因子：
8.8
通讯作者：
Arce, Lourdes
中科院分区：
文献类型：
--
作者：
Arroyo-Manzanares, Natalia;Martin-Gomez, Andres;Arce, Lourdes
用极性或非极性气相色谱（GC）柱与离子迁移谱（IMS）耦合获得的数据已被探索分类伊比利亚火腿，以检测其标签中可能的欺诈行为。采用GC-IMS检测了以橡子、牧草或饲料饲养的猪的干腌伊比利亚火腿的挥发性化合物谱，由于GC-IMS测量的二维性质，获得了大量的数据，需要进行详尽的化学计量学处理。第一种方法是基于完整的光谱指纹的处理，而第二种方法包括选择出现在整个光谱中的单个标记。第一种方法的分类率为90%，第二种方法根据猪的饮食对所有伊比利亚火腿样本进行了正确分类（分类率为100%）。在分类率方面，在所测试的GC柱之间没有发现显著差异。
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.