Predicting vegetative inoculum performance to maximize phytase production in solid-state fermentation using response surface methodology

Journal of Industrial Microbiology and Biotechnology

Volumn 26, Issue 3, 2001, Pages 161-170

  Krishna, C ^a   Nokes, S E ^a  

^a UNIVERSITY OF KENTUCKY   (United States)

Author keywords

Aspergillus niger, statistical modeling; Phytase; Response surface methodology; Solid state fermentation

Indexed keywords

PHOSPHORUS; PHYTASE;

ANIMAL FOOD; ARTICLE; ASPERGILLUS NIGER; BIOMASS; CULTURE MEDIUM; ENZYME SYNTHESIS; FERMENTATION; FUNGUS CULTURE; FUNGUS GROWTH; NONHUMAN; SAMPLING; SOLID STATE;

6-PHYTASE; ASPERGILLUS; BIOMASS; CULTURE MEDIA; DATA INTERPRETATION, STATISTICAL; FERMENTATION; MODELS, BIOLOGICAL; PREDICTIVE VALUE OF TESTS;

ANIMALIA; ASPERGILLUS NIGER; FUNGI;

EID: 0035054276     PISSN: 13675435     EISSN: None     Source Type: Journal    
DOI: 10.1038/sj.jim.7000103     Document Type: Article

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