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Si us plau utilitzeu sempre aquest identificador per citar o enllaçar aquest document: https://hdl.handle.net/2445/188027

Ham quality evaluation assisted by gas chromatography ion mobility spectrometry

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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.

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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

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FERNÁNDEZ ROMERO, Luis, et al. Ham quality evaluation assisted by gas chromatography ion mobility spectrometry. Isoen 2017 - Isocs/Ieee International Symposium On Olfaction And Electronic Nose. Proceedings. Vol.  2017, num. 7968852-NA. [consulted: 5 of August of 2026]. Available at: https://hdl.handle.net/2445/188027

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