2010
DOI: 10.1002/jctb.2463
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Production of poly‐3‐hydroxybutyrate by Cupriavidus necator from corn syrup: statistical modeling and optimization of biomass yield and volumetric productivity

Abstract: BACKGROUND: The paper reports an investigation into the possibility of producing poly-3-hydroxybutyrate (P(3HB)) polyester using corn syrup, a relatively low cost by-product from the starch industries. The concentrations of medium components, corn syrup, dipotassium hydrogen phosphate (K 2 HPO 4 ), sodium dihydrogen phosphate (NaH 2 PO 4 ) and ammonium sulfate [(NH 4 ) 2 SO 4 ] were optimized using design of experiments (DOE).

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Cited by 36 publications
(24 citation statements)
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“…The finest model and the significance of each coefficient were determined by analysis of variance (ANOVA), including sequential F-test, lack-of-fit test and other adequacy measures. The larger the magnitude of the F-value and therefore the smaller the P-value, the more significant of the corresponding coefficient (Daneshi et al, 2010).…”
Section: Experimental Design and Mathematical Modelingmentioning
confidence: 98%
“…The finest model and the significance of each coefficient were determined by analysis of variance (ANOVA), including sequential F-test, lack-of-fit test and other adequacy measures. The larger the magnitude of the F-value and therefore the smaller the P-value, the more significant of the corresponding coefficient (Daneshi et al, 2010).…”
Section: Experimental Design and Mathematical Modelingmentioning
confidence: 98%
“…B. megaterium B2 does not need a limitation of the nitrogen source to stimulate PHB production, in contrast to other species such as Cupriavidus necator [24]. The negative effect of both phosphorous sources indicates that limitation of this nutrient is crucial for PHB production by B. megaterium B2.…”
Section: Shake Flask Experimentsmentioning
confidence: 71%
“…Lastly, response surface methodology (RSM) was employed to optimize turbidity reduction in water treatment. RSM is commonly in environmental field to analyze and optimize the influence of independent variables on the responses [17][18][19][20].…”
Section: Design Of Experimentsmentioning
confidence: 99%