Traceability of olive oil based on volatiles pattern and multivariate analysis

Recognition of volatile compounds as markers in geographical discrimination of Spanish extra virgin olive oils by chemometric analysis of non-specific chromatography volatile profiles

“…SPME is a sensitive, solvent-free, cost-efficient and fast method which allows the extraction and the concentration steps to be performed simultaneously. SPME in combination with GC-MS analysis has been successfully applied in olive oil characterisation and classification research to evaluate the effect of geographical origin, environmental conditions, olive varieties and detection of adulterations [23][24][25][26][27][28][29][30][31]. This analytical methodology has been traditionally associated with target analysis involving a first step of identification and quantification of specific markers existing in the volatile fraction.…”

Olive Oil Composition: Volatile Compounds

“…Linear discriminant analysis (LDA) and artificial neural networks (ANN), among other statistical classification methods, can be applied in order to control economic fraud. These applications have been carefully reviewed recently (Cajka et al, 2010). Together with 2D-GC systems the advantage is clear, since, instead of a time consuming trial to determine which variables should be considered for the statistical classification method, the selection may now become as simple as inspecting the 2D contour plots obtained (Cardeal et al 2008, de Koning et al, 2008.…”

Ambient mass spectrometry employing a DART ion source for metabolomic fingerprinting/profiling: a powerful tool for beer origin recognition

“…This chemometric tool is suitable mainly in cases for which the relationship between predictor variables (independents, inputs) and predicted variables (dependents, outputs) is very complex (Cajka et al , 2010a). An ANN-MLP using back propagation was employed to predict the origin of beer samples based on the pattern of their markers.…”

“…In addition to food quality assessment or safety control, authentication is also a challenging application area. To date, most metabolomic studies on food have focused on commodities such as vegetable oils (Hutton et al 1999;Ogrinc et al 2003;Prestes et al 2007;Vaclavik et al 2009;Cajka et al 2010a), fish oil (Aursand et al 2007), fruit juices (Cuny et al 2008(Cuny et al , 2007Le Gall et al 2001), wines (Setkova et al 2007), honey ), and beers (Almeida et al 2006;Nord et al 2004, Cajka et al 2010b.…”