Target vs spectral fingerprint data analysis of Iberian ham samples for avoiding labelling fraud using headspace - gas chromatography-ion mobility spectrometry.

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.

[1]  Zeev Karpas,et al.  Applications of ion mobility spectrometry (IMS) in the field of foodomics , 2013 .

[2]  Chongde Wu,et al.  Discrimination of different kinds of Luzhou-flavor raw liquors based on their volatile features , 2014 .

[3]  A. Rey,et al.  Feeding Iberian pigs with acorns and grass in either free-range or confinement affects the carcass characteristics and fatty acids and tocopherols accumulation in Longissimus dorsi muscle and backfat. , 2006, Meat science.

[4]  I. M. Vicario,et al.  A multivariate study of the triacylglycerols composition of the subcutaneous adipose tissue of Iberian pig in relation to the fattening diet and genotype , 2008 .

[5]  I. M. Vicario,et al.  Characterization and quantification of the hydrocarbons fraction of the subcutaneous fresh fat of Iberian pig by off-line combination of high performance liquid chromatography and gas chromatography. , 2006, Journal of chromatography. A.

[6]  M. Narváez-Rivas,et al.  Analysis of volatile compounds from Iberian hams: a review , 2012 .

[7]  L. Arce,et al.  The Application of GC–MS and Chemometrics to Categorize the Feeding Regime of Iberian Pigs in Spain , 2008 .

[8]  R. Yost,et al.  Ion Mobility in Clinical Analysis: Current Progress and Future Perspectives. , 2016, Clinical chemistry.

[9]  J. F. Tejeda,et al.  Determination of neophytadiene in the subcutaneous fat of Iberian pigs from different feeding systems , 2013 .

[10]  Z. Karpas,et al.  Ion mobility spectrometry , 1993, Breathborne Biomarkers and the Human Volatilome.

[11]  R. Gil,et al.  Quality classification of Spanish olive oils by untargeted gas chromatography coupled to hybrid quadrupole-time of flight mass spectrometry with atmospheric pressure chemical ionization and metabolomics-based statistical approach. , 2017, Food chemistry.

[12]  P. Granitto,et al.  Effect of the pig rearing system on the final volatile profile of Iberian dry-cured ham as detected by PTR-ToF-MS. , 2013, Meat science.

[13]  Nan Zou,et al.  Coupling of multi-walled carbon nanotubes/polydimethylsiloxane coated stir bar sorptive extraction with pulse glow discharge-ion mobility spectrometry for analysis of triazine herbicides in water and soil samples. , 2016, Journal of chromatography. A.

[14]  L. Arce,et al.  Multi-capillary column-ion mobility spectrometry: a potential screening system to differentiate virgin olive oils , 2011, Analytical and Bioanalytical Chemistry.

[15]  S. Vichi,et al.  Authentication of Iberian dry-cured ham: New approaches by polymorphic fingerprint and ultrahigh resolution mass spectrometry , 2016 .

[16]  L. Arce,et al.  Determination of volatile compounds by GC-IMS to assign the quality of virgin olive oil. , 2015, Food chemistry.

[17]  Theodor Doll,et al.  Evaluation Strategies for Coupled GC-IMS Measurement including the Systematic Use of Parametrized ANN , 2012 .

[18]  I. González-Martín,et al.  Differentiation of dietary regimene of Iberian swine by means of isotopic analysis of carbon and sulphur in hepatic tissue. , 2001, Meat science.

[19]  Miguel Valcárcel,et al.  Feasibility study on the use of infrared spectroscopy for the direct authentication of Iberian pig fattening diet. , 2009, Analytica chimica acta.

[20]  M. Aleixandre,et al.  Electronic nose for the identification of pig feeding and ripening time in Iberian hams. , 2004, Meat science.

[21]  B. Villegas,et al.  Prediction of the identity of fats and oils by their fatty acid, triacylglycerol and volatile compositions using PLS-DA , 2010 .

[22]  L. Izquierdo,et al.  Characterization of green hams from Iberian pigs by fast analysis of subcutaneous fat. , 1988, Meat science.

[23]  L. Arce,et al.  Ion mobility spectrometry of volatile compounds from Iberian pig fat for fast feeding regime authentication. , 2008, Talanta.

[24]  Mohsen Esmaiili,et al.  Classification of adulterated honeys by multivariate analysis. , 2017, Food chemistry.

[25]  María Gómez-Romero,et al.  Assessing the varietal origin of extra-virgin olive oil using liquid chromatography fingerprints of phenolic compound, data fusion and chemometrics. , 2017, Food chemistry.

[26]  Carmen García,et al.  SIFT-MS analysis of Iberian hams from pigs reared under different conditions. , 2015, Meat science.

[27]  R. Cava,et al.  DIETARY ACORNS PROVIDE A SOURCE OF GAMMA-TOCOPHEROL TO PIGS RAISED EXTENSIVELY , 1998 .

[28]  L. Arce,et al.  Ion mobility spectrometry versus classical physico-chemical analysis for assessing the shelf life of extra virgin olive oil according to container type and storage conditions. , 2015, Journal of agricultural and food chemistry.