Improvement of a two-stage fermentation process for docosahexaenoic acid production by Aurantiochytrium limacinum SR21 applying statistical experimental designs and data analysis

Bioresource Technology

Volumn 101, Issue 7, 2010, Pages 2367-2374

  Rosa, Silvina Mariana ^a,b   Soria, Marcelo Abel ^b   Vélez, Carlos Guillermo ^b   Galvagno, Miguel Angel ^a,b  

^a INSTITUTO DE INVESTIGACIONES BIOTECNOLÓGICAS   (Argentina)

^b UNIVERSIDAD DE BUENOS AIRES   (Argentina)

Author keywords

Artificial neural networks; Aurantiochytrium; Docosahexaenoic acid; Statistical designs; Two stage fermentation

Indexed keywords

DEEP NEURAL NETWORKS; FERMENTATION; GENETIC ALGORITHMS; NEURAL NETWORKS; STATISTICS;

AURANTIOCHYTRIUM; BIOMASS PRODUCTIONS; DOCOSAHEXAENOIC ACID; INOCULUM PRODUCTIONS; STATISTICAL DESIGN; STATISTICAL EXPERIMENTAL DESIGN; STATISTICAL SCREENING; TWO-STAGE FERMENTATIONS;

UNSATURATED FATTY ACIDS;

CARBON; DOCOSAHEXAENOIC ACID; NITROGEN;

ARTIFICIAL NEURAL NETWORK; BIOMASS; BIOREACTOR; EUKARYOTE; FERMENTATION; GENETIC ALGORITHM; GRAPHICAL METHOD; OPTIMIZATION;

ARTICLE; ARTIFICIAL NEURAL NETWORK; AURANTIOCHYTRIUM LIMACINUM; BIOMASS; BIOREACTOR; DATA ANALYSIS; FERMENTATION; MICROBIAL GROWTH; MICROORGANISM; NONHUMAN; PRIORITY JOURNAL; STATISTICAL ANALYSIS; BIOTECHNOLOGY; CULTURE MEDIUM; EUKARYOTE; GROWTH, DEVELOPMENT AND AGING; METABOLISM; METHODOLOGY; MICROBIOLOGY; PHYSIOLOGY; REPRODUCIBILITY; STATISTICAL MODEL; STATISTICS;

BIOMASS; BIOREACTORS; BIOTECHNOLOGY; CULTURE MEDIA; DOCOSAHEXAENOIC ACIDS; EUKARYOTA; FERMENTATION; MODELS, STATISTICAL; REPRODUCIBILITY OF RESULTS; STATISTICS AS TOPIC;

EID: 77951232761     PISSN: 09608524     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.biortech.2009.11.056     Document Type: Article

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