2018
DOI: 10.3390/molecules23040974
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Application of the Response Surface Methodology to Optimize the Fermentation Parameters for Enhanced Docosahexaenoic Acid (DHA) Production by Thraustochytrium sp. ATCC 26185

Abstract: The aim of this study was to determine the cumulative effect of fermentation parameters and enhance the production of docosahexaenoic acid (DHA) by Thraustochytrium sp. ATCC 26185 using response surface methodology (RSM). Among the eight variables screened for effects of fermentation parameters on DHA production by Plackett-Burman design (PBD), the initial pH, inoculum volume, and fermentation volume were found to be most significant. The Box-Behnken design was applied to derive a statistical model for optimiz… Show more

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Cited by 22 publications
(7 citation statements)
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“…Thraustochytrium sp. ATCC 26185 previously showed enhanced DHA production, from 1.16 to 1.68 g/L, after optimization of various fermentation parameters, such as initial pH (6.89), inoculum volume (4.16%), and fermentation volume (140.47 mL) [50]. Moreover, cultivation of thraustochytrid strains in flasks resulted in significantly different levels of DHA production compared to bioreactor cultivation.…”
Section: Resultsmentioning
confidence: 99%
“…Thraustochytrium sp. ATCC 26185 previously showed enhanced DHA production, from 1.16 to 1.68 g/L, after optimization of various fermentation parameters, such as initial pH (6.89), inoculum volume (4.16%), and fermentation volume (140.47 mL) [50]. Moreover, cultivation of thraustochytrid strains in flasks resulted in significantly different levels of DHA production compared to bioreactor cultivation.…”
Section: Resultsmentioning
confidence: 99%
“…Therefore, in order to address this issue, the RSM was deployed. The RSM is a useful statistical optimization design that has successfully been used in many biological and chemical processes [34][35][36]. The RSM creates an experimental design with the minimum number of experiments and generates a model that can predict the interaction and correlation between a set of independent variables and observed results, thus providing optimized conditions that differ from the conventional approach of optimization, which only investigates one factor at a time.…”
Section: Screening Of Phytohormones For Improved Growth and Dha Production Of Sw1mentioning
confidence: 99%
“…Box-Behnken design. The response surface methodology is a very practical and valuable tool for fermentation industry to improve product yield and minimize by‐products as well as reduce overall manufacturing costs [15], and it is possible for response surface methodology to derive an expression for performance measurement on the basis of the response values obtained from experiments at a particular combination of input variables [16]. In the present study, by employing Box-Behnken design and response surface methodology, the effects of the three independent variables (loaded liquid, 15-60 mL/250mL; liquid pH, 7.0-8.0; culture temperature, 24-32°C) and three levels (high, middle, and low) on the response (the total number of living bacteria) were investigated to determine the optimal conditions, which maximized the biomass of B. megaterium from shake cultivation.…”
Section: Methodsmentioning
confidence: 99%