4.5 Article

Factorial Design and Response Surface Optimization for Enhancing a Biodesulfurization Process

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PETROLEUM SCIENCE AND TECHNOLOGY
卷 32, 期 14, 页码 1669-1679

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TAYLOR & FRANCIS INC
DOI: 10.1080/10916466.2014.892988

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factorial design; response surface methodology; biodesulfurization; dibenzothiophene

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Based on five levels of full factorial design, response surface methodology was used for modeling, optimization, and studying the interactive effects of two variables, nitrogen source and carbon co-substrate, in a batch process for dibenzothiophene biodesulfurization, using a new Gram-positive bacterial isolate R. erythropolis HN2 (accession no. KF018282). The optimum operating conditions were found to be 0.35g/L yeast extract and 0.09M glycerol.

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