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Abstract: Head-space (HS) gas chromatography (GC) coupled to mass spectrometry (MS) is proposed for the assessment of the contamination of mayonnaise as an alternative to plate counting, which is the technique commonly used for evaluating microbial contamination. More specifically, this method was applied in the detection of Candida metapsilosis and Zygosaccharomyces bailii, both of great importance in term of food spoilage since they are resistant to many of the common methods of food preservation. Different chemometric models were investigated using the data obtained by GC-MS (m/z profile, area of the chromatographic peaks and entire chromatographic profile), in order to obtain the highest classification success. The best results were obtained using the chromatographic profile (success rate of 92%). Contaminated samples could also be classified according to the concentration of yeast, obtaining a success rate of 87.5%. Finally, a chemometric model was constructed in an attempt to differentiate between strains.
Fuente: Food Chemistry, 2019, 289, 461-467
Fecha de publicación: 15/08/2019
Nº de páginas: 7
Tipo de publicación: Artículo de Revista
Proyecto español: CTQ2015-68049-R
Url de la publicación: https://doi.org/10.1016/j.foodchem.2019.03.083
ARROYO MANZANARES, NATALIA
HERNÁNDEZ CÁNOVAS, JUAN DE DIOS
LÓPEZ GARCÍA, IGNACIO FRANCISCO
GUILLÉN LÓPEZ, ISIDRO
VIZCAÍNO MILLA, PASCUALI
HERNÁNDEZ CÓRDOBA, MANUEL
VIÑAS LÓPEZ-PELEGRÍN, MARÍA PILAR