Using Plackett Burman design, steepest ascent method, and Box Behnken design, we carried out sequential statistical optimization of the Phellinus nigricans culture medium for maximizing the production of exopolysaccharides.
For this, the effects of the sprouting conditions (temperature, time and pH of stress medium) on the hydroxyl radical inhibition were investigated carefully by single-factor experiments and statistical experimental designs, which included a fractional factorial design, steepest ascent experiments, a central composite experimental design and response surface methodology.
Statistical approaches including Plackett-Burman design, steepest ascent design and central composite design were used in this study [34], [35].
Optimization process in this study involved four steps: screening for significant factors using 2 full factorial design, steepest ascent, optimization using FCCD-RSM, and verification.
Univariate experiments, Plackett Burman design, steepest-ascent method, and Box Behnken design were employed to obtain the optimum levels of the factors for the maximum settled height (SH).
Then the central levels of the five significant factors identified from PBD are determined by steepest ascent design.
To achieve maximum leaching yield, eight process variables have been selected to estimate optimum process conditions by means of statistical factorial design and steepest ascent techniques.
The steepest ascent design for SWE revealed that the optimum condition was 110 °C and 641 psig (4520 kPa) over 2.3 h of extraction.
Plackett-Burman design (PBD), steepest ascent method (SAM) and central composite design (CCD) using response surface methodology (RS M were applied to explore the effects of sixteen media components on carbazole degradation by Pseudomonas aeruginosa RS1.
It can be summarized that PSO algorithm combined with PBD, steepest ascent design and RSM can be an effective method for the structural optimization of the downhole oil-water separator.
