# name
Ham quality evaluation assisted by gas chromatography ion mobility spectrometry

# metadata.dc.description.abstract[].value
In recent years, Gas Chromatography-Ion Mobility Spectrometry (GC-IMS) has been successfully employed in food science as a control technique for the prevention of fraud according to food and labeling regulations. In this work, we propose the use of GC-IMS technique to assess the quality of Iberian ham with regard to the Iberian Pig's diet (either nourished with feed or with acorns). For this purpose, we have acquired a dataset composed of 53 samples of Iberian ham from different food providers using a commercial GC-IMS (FlavourSpec, from G.A.S. Dortmund, Germany). Intensive signal pre-processing for GC-IMS was applied to the raw data. This dataset was employed to create four Partial Least Squares Discriminant Analysis (PLSDA) models corresponding to different train/test partitions of the dataset. Nearly perfect classification rates (above 91 %) were obtained for each partition of the dataset, denoting the high power of GC-IMS to characterize food samples. © 2017 IEEE.

# metadata.dc.identifier.citation[].value
Fernandez L;Martin-Gomez A;Mar Contreras M;Padilla M;Marco S;Arce L. Ham quality evaluation assisted by gas chromatography ion mobility spectrometry. Isoen 2017 - Isocs/Ieee International Symposium On Olfaction And Electronic Nose, Proceedings, 2017, 7968852-NA

# metadata.dc.publisher[].value
Institute of Electrical and Electronics Engineers Inc.

# metadata.dc.relation.ispartof[].value
Isoen 2017 - Isocs/Ieee International Symposium On Olfaction And Electronic Nose, Proceedings, 2017, 7968852-NA

# metadata.dc.source[].value
Comunicacions a congressos (Enginyeria Electrònica i Biomèdica)

# metadata.dc.title[].value
Ham quality evaluation assisted by gas chromatography ion mobility spectrometry