Olive oil sensory defects classification with data fusion of instrumental techniques and multivariate analysis (PLS-DA).
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Ricard Boqué | Joan Ferré | Montserrat Mestres | O. Busto | R. Boqué | E. Borràs | J. Ferré | M. Mestres | L. Aceña | A. Calvo | Laura Aceña | Olga Busto | Eva Borràs | Angels Calvo | L. Aceña | E. Borras
[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.