Olive oil sensory defects classification with data fusion of instrumental techniques and multivariate analysis (PLS-DA).

[1]  S. Wold,et al.  PLS: Partial Least Squares Projections to Latent Structures , 1993 .

[2]  M. Guillén,et al.  Characterization of edible oils and lard by fourier transform infrared spectroscopy. Relationships between composition and frequency of concrete bands in the fingerprint region , 1997 .

[3]  S. Rocha,et al.  Detection of rancid defect in virgin olive oil by the electronic nose. , 2000, Journal of agricultural and food chemistry.

[4]  R. Aparicio,et al.  Sensory and chemical evaluation of winey-vinegary defect in virgin olive oils , 2000 .

[5]  F. Angerosa Influence of volatile compounds on virgin olive oil quality evaluated by analytical approaches and sensor panels , 2002 .

[6]  Ramón Aparicio,et al.  Comparative study of virgin olive oil sensory defects , 2005 .

[7]  I. Khmelinskii,et al.  CHANGES IN COLOUR OF EXTRA-VIRGIN OLIVE OIL DURING STORAGE , 2007 .

[8]  Monica Casale,et al.  Combining information from headspace mass spectrometry and visible spectroscopy in the classification of the Ligurian olive oils. , 2007, Analytica chimica acta.

[9]  S. Buxaderas,et al.  Determination of volatile phenols in virgin olive oils and their sensory significance. , 2008, Journal of chromatography. A.

[10]  Marcin Kozak,et al.  Unsupervised classification methods in food sciences: discussion and outlook , 2008 .

[11]  Miguel Valcárcel,et al.  Simple and rapid instrumental characterization of sensory attributes of virgin olive oil based on the direct coupling headspace-mass spectrometry. , 2008, Journal of chromatography. A.

[12]  S. Buxaderas,et al.  Influence of olives' storage conditions on the formation of volatile phenols and their role in off-odor formation in the oil. , 2009, Journal of agricultural and food chemistry.

[13]  S. Buxaderas,et al.  Volatile phenols in virgin olive oils: Influence of olive variety on their formation during fruits storage , 2009 .

[14]  Oliver Tomic,et al.  Characterization of selected South African young cultivar wines using FTMIR spectroscopy, gas chromatography, and multivariate data analysis. , 2009, Journal of agricultural and food chemistry.

[15]  J. Saja,et al.  Combination of an e-nose, an e-tongue and an e-eye for the characterisation of olive oils with different degree of bitterness. , 2010, Analytica chimica acta.

[16]  D. L. García-González,et al.  Research in olive oil: challenges for the near future. , 2010, Journal of agricultural and food chemistry.

[17]  Ramón Aparicio,et al.  Coupling MOS sensors and gas chromatography to interpret the sensor responses to complex food aroma: Application to virgin olive oil , 2010 .

[18]  Lorenzo Cerretani,et al.  Application of near (NIR) infrared and mid (MIR) infrared spectroscopy as a rapid tool to classify extra virgin olive oil on the basis of fruity attribute intensity , 2010 .

[19]  N. Dupuy,et al.  Comparison between NIR, MIR, concatenated NIR and MIR analysis and hierarchical PLS model. Application to virgin olive oil analysis. , 2010, Analytica chimica acta.

[20]  E. Chiavaro,et al.  EVALUATION OF THE VOLATILE FRACTION OF COMMERCIAL VIRGIN OLIVE OILS FROM TUNISIA AND ITALY: RELATION WITH OLFACTORY ATTRIBUTES , 2011 .

[21]  A. Mignani,et al.  Optical Absorption Spectroscopy for Quality Assessment of Extra Virgin Olive Oil , 2012 .

[22]  B. Dimitrios Olive Oil - Constituents, Quality, Health Properties and Bioconversions , 2012 .

[23]  T. Cecchi,et al.  Volatile profiles of Italian monovarietal extra virgin olive oils via HS-SPME-GC-MS: newly identified compounds, flavors molecular markers, and terpenic profile. , 2013, Food chemistry.

[24]  M. Kontominas,et al.  Classification of Western Greek virgin olive oils according to geographical origin based on chromatographic, spectroscopic, conventional and chemometric analyses , 2013 .

[25]  F. Marini,et al.  Classification and Class-Modelling , 2013 .

[26]  C. Pizarro,et al.  Classification of Spanish extra virgin olive oils by data fusion of visible spectroscopic fingerprints and chemical descriptors. , 2013, Food chemistry.

[27]  M. C. Horrillo,et al.  Edible and non-edible olive oils discrimination by the application of a sensory olfactory system based on tin dioxide sensors. , 2013, Food chemistry.

[28]  M. P. Callao,et al.  Partial least squares density modeling (PLS-DM) - a new class-modeling strategy applied to the authentication of olives in brine by near-infrared spectroscopy. , 2014, Analytica chimica acta.

[29]  E. Monteleone,et al.  Olive Oil Sensory Science: Monteleone/Olive , 2014 .

[30]  C. Cordero,et al.  Toward a definition of blueprint of virgin olive oil by comprehensive two-dimensional gas chromatography. , 2014, Journal of chromatography. A.

[31]  E. Monteleone,et al.  Olive oil sensory science. , 2014 .

[32]  R. Tarakowski,et al.  VIS spectroscopy and pressure induced phase transitions – Chasing the olive oils quality , 2014 .

[33]  Ricard Boqué,et al.  Data fusion methodologies for food and beverage authentication and quality assessment - a review. , 2015, Analytica chimica acta.