An approach for prediction of optimum reaction conditions for laccase-catalyzed bio-transformation of 1-naphthol by response surface methodology (RSM)

Optimization of reaction conditions for enzymatic synthesis of palm fatty hydrazides using response surface methodology

“…A plot of the studentized residuals versus predicted values using DesignExpert 6 was used to check the model adequacy the plot is not shown . Most of the residuals were randomly scattered at around 1.5 and not beyond 3.0, indicating that the experimental data fitted with the predicted ones obtained from the model and were in agreement with the study conducted earlier 14 . In a plot of studentized residuals versus the run order tested, the residuals scattered randomly on the display, suggesting that the variance of the original observations was constant for all values of response 17 .…”

“…For example, Uosukainen et al 10 studied the optimization of enzymatic transesterifi cation of rapeseed oil ester, Reddy and co-workers 11 worked on the optimization of alkaline protease production, Cao and co-workers 12 reported on the optimization of autolysis parameters in shrimp heads and the release of amino acids during autolysis, while Ognjanovic et al 13 published their work on the optimization of biodiesel production from sunfl ower oil. Besides that, Ceylan and co-workers 14 reported their work on the optimization of laccase-catalyzed bio-transformation of 1-naphthol, whereas Elavarasan and co-workers 15 published their fi ndings on the optimization of p-cresol alkylation with tert-butyl alcohol using an ionic liquid catalyst. The latest publication on the application of RSM in optimization processes is by Ebrahimi and co-workers 16 , who reported the optimization and evaluation of acetylcholine esterase immobilization on ceramic packing.…”

The Optimization of Alkali-Catalyzed Biodiesel Production from Camelina sativa Oil Using a Response Surface Methodology

“…As for the regression coefficient R 2 , the closer to 1 it is, the better the model fits the experimental data. Adj R 2 is the adjusted version of R 2 and it is commonly used to represent the strength of correlation between the predicted values determined by the regression models and the actual values from the experimental runs [28]. In our work, both the Adj R 2 values for the product yield (0.8981) and the FAME yield (0.9071) implied a strong correlation between the predicted data and the experimental data.…”

Laccase, an Emerging Tool to Fabricate Green Composites: A Review

“…These free radicals undergo polymerization reactions and form a network of polymers by coupling (similar to thermoset adhesives) (Kunamneni et al 2008a;Spulber et al 2014). In recent studies, it has been well established that laccase enzymes obtained from fungi are best suited for the activation of native lignin and accelerating the oxido-reductase coupling of lignin (Ceylan et al 2008;Liu et al 2009;Witayakran and Ragauskas 2009;Bledzki et al 2010;Singh and Singh 2014).…”