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The optimal yields of xylose (49.5% in relation to the content of hemicellulose in the rapeseed meal) and of glucose (19.4% in relation to the cellulose content in rapeseed meal) require higher temperatures but shorter reaction times.
Furthermore, the maximal possible production yields predicted by OptKnock and RobustKnock for these chemicals are significantly lower than the optimal yields that may theoretically be achieved by the biosensor-based approach (Figure 5b), testifying for the potential added value of the latter approach over current rational design methods.
Using FBAwMC we predicted the optimal yields for a sample of crowding coefficients.
The wild type and the mucA TT algD strains show biomass yields of 0.16 and 0.20 g-DW/g-glycerol, while the optimal yields for P/O ratios of 2.5 and 1.5 respectively are 0.81 and 0.65 g-DW/g-glycerol.
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Relative standard deviation (R.S.D) was then estimated to quantify the error in the optimal yield.
The optimal yield of purified SWNT bundles is ∼25 wt.% of the as-prepared chamber deposit.
A Box Behnken experimental Design (BBD) was employed to search for the optimal yield.
Predictions of the optimal yield, the operating temperature and the conversion were also subjects of our study.
Inorganic nitrogen sources did not stimulate growth and the optimal yield was significantly higher with yeast extract (7.98 g L−1).
A 5-level-4-factor central composite design is employed to search for the optimal yield of benzyl cinnamate.
The optimal yield of the extracellular α-CGTase was finally obtained with a temperature shift time of 32 h (Fig. 5).
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