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Abstract:

Statistical screening experimental designs were applied to identify the significant culture variables for biomass production of Aurantiochytrium limacinum SR21 and their optimal levels were found using a combination of Artificial Neural Networks, genetic algorithms and graphical analysis. The biomass value obtained (40.3 g cell dry weight l-1) employing the selected culture conditions agreed with that predicted by the model. Subsequently, two significant culture conditions for docosahexaenoic acid (DHA) production were determined, finding that an inoculum of 10% (v/v), obtained from the previous (statistically optimized) stage, should be used in a DHA production medium having a molar C:N ratio of 55:1, to reach a production of 7.8 g DHA l-1 d-1. The production step was thereafter scaled in a 3.5 l bioreactor, and DHA productivity of 3.7 g l-1 d-1 was obtained. This two-stage strategy: statistically optimized inoculum production (fist step) and a DHA production step, is presented for the first time to optimize a bioprocess conducive to the obtention of microbial DHA. © 2009 Elsevier Ltd. All rights reserved.

Registro:

Documento: Artículo
Título:Improvement of a two-stage fermentation process for docosahexaenoic acid production by Aurantiochytrium limacinum SR21 applying statistical experimental designs and data analysis
Autor:Rosa, S.M.; Soria, M.A.; Vélez, C.G.; Galvagno, M.A.
Filiación:Instituto de Investigaciones Biotecnológicas, IIB-CONICET, Universidad Nacional de San Martín, Av. Colectora General Paz 5445, (1650) Buenos Aires, Argentina
Departamento de Biodiversidad y Biología Experimental, Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires, Ciudad Universitaria, (1428) Buenos Aires, Argentina
Cátedra de Microbiología Agrícola, Facultad de Agronomía, Universidad de Buenos Aires, Av. San Martín 4453, (1417) Buenos Aires, Argentina
Departamento de Ingeniería Química, Facultad de Ingeniería, Universidad de Buenos Aires, Pabellón de Industrias, Ciudad Universitaria, (1428) Buenos Aires, Argentina
Palabras clave:Artificial neural networks; Aurantiochytrium; Docosahexaenoic acid; Statistical designs; Two-stage fermentation; 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
Año:2010
Volumen:101
Número:7
Página de inicio:2367
Página de fin:2374
DOI: http://dx.doi.org/10.1016/j.biortech.2009.11.056
Título revista:Bioresource Technology
Título revista abreviado:Bioresour. Technol.
ISSN:09608524
CODEN:BIRTE
CAS:carbon, 7440-44-0; docosahexaenoic acid, 25167-62-8, 32839-18-2; nitrogen, 7727-37-9; Culture Media; Docosahexaenoic Acids, 25167-62-8
Registro:https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_09608524_v101_n7_p2367_Rosa

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Citas:

---------- APA ----------
Rosa, S.M., Soria, M.A., Vélez, C.G. & Galvagno, M.A. (2010) . Improvement of a two-stage fermentation process for docosahexaenoic acid production by Aurantiochytrium limacinum SR21 applying statistical experimental designs and data analysis. Bioresource Technology, 101(7), 2367-2374.
http://dx.doi.org/10.1016/j.biortech.2009.11.056
---------- CHICAGO ----------
Rosa, S.M., Soria, M.A., Vélez, C.G., Galvagno, M.A. "Improvement of a two-stage fermentation process for docosahexaenoic acid production by Aurantiochytrium limacinum SR21 applying statistical experimental designs and data analysis" . Bioresource Technology 101, no. 7 (2010) : 2367-2374.
http://dx.doi.org/10.1016/j.biortech.2009.11.056
---------- MLA ----------
Rosa, S.M., Soria, M.A., Vélez, C.G., Galvagno, M.A. "Improvement of a two-stage fermentation process for docosahexaenoic acid production by Aurantiochytrium limacinum SR21 applying statistical experimental designs and data analysis" . Bioresource Technology, vol. 101, no. 7, 2010, pp. 2367-2374.
http://dx.doi.org/10.1016/j.biortech.2009.11.056
---------- VANCOUVER ----------
Rosa, S.M., Soria, M.A., Vélez, C.G., Galvagno, M.A. Improvement of a two-stage fermentation process for docosahexaenoic acid production by Aurantiochytrium limacinum SR21 applying statistical experimental designs and data analysis. Bioresour. Technol. 2010;101(7):2367-2374.
http://dx.doi.org/10.1016/j.biortech.2009.11.056