Multivariate analysis to discriminate yeast strains with technological applications in table olive processing

World Journal of Microbiology and Biotechnology

Volumn 28, Issue 4, 2012, Pages 1761-1770

  Rodríguez Gómez, Francisco ^a   Romero Gil, Veronica ^a   Bautista Gallego, Joaquín ^a   Garrido Fernández, Antonio ^a   Arroyo López, Francisco Noé ^a  

^a INSTITUTO DE LA GRASA   (Spain)

Author keywords

Cluster analysis; Principal component analysis; Starter; Table olives; Technological application; Yeasts

Indexed keywords

ACTIVITY LEVELS; BIOCHEMICAL ACTIVITY; CANDIDA BOIDINII; CULTURE MEDIA; EXTRACELLULAR; GLUCOSIDASE ACTIVITY; LACTIC ACID BACTERIA; MULTI VARIATE ANALYSIS; MULTIVARIATE CLASSIFICATION; PRINCIPAL COMPONENT ANALYSIS (PCA); QUANTITATIVE DATA; TABLE OLIVES; TECHNOLOGICAL APPLICATIONS; YEAST STRAIN;

CANDIDA; CLUSTER ANALYSIS; LACTIC ACID; MULTIVARIANT ANALYSIS; PRINCIPAL COMPONENT ANALYSIS; STARTERS;

YEAST;

BETA GLUCOSIDASE; ESTERASE; TRIACYLGLYCEROL LIPASE;

ARTICLE; CLASSIFICATION; CLUSTER ANALYSIS; ENZYMOLOGY; FOOD CONTROL; FOOD HANDLING; ISOLATION AND PURIFICATION; METABOLISM; METHODOLOGY; MICROBIOLOGY; MULTIVARIATE ANALYSIS; OLIVE TREE; YEAST;

BETA-GLUCOSIDASE; CLUSTER ANALYSIS; ESTERASES; FOOD HANDLING; FOOD MICROBIOLOGY; INDUSTRIAL MICROBIOLOGY; LIPASE; MULTIVARIATE ANALYSIS; OLEA; YEASTS;

BACTERIA (MICROORGANISMS); CANDIDA; CANDIDA BOIDINII; CANDIDA DIDDENSIAE; OLEACEAE;

EID: 84859266515     PISSN: 09593993     EISSN: None     Source Type: Journal    
DOI: 10.1007/s11274-011-0990-1     Document Type: Article

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