The effect of pH, namely pH 2, 3 and 4, was analyzed.
Further optimization studies were also performed with two more factors namely pH and malate concentration.
The investigation was performed with various organic compounds and varying solution chemistry namely pH and ionic strength.
On-line concentration strategies, namely pH junction and sweeping, were employed to avoid sample zone diffusion at the interface.
Moreover, two effective parameters namely pH and bicarbonate dose were optimized in order to achieve a better reduction rate.
Three main bioleaching parameters, namely pH, solid concentration and inoculum percent, were changed during the bioleaching tests based on CCD.
In solid state fermentation, parameters namely pH, moisture content and carbon supplement were optimized by response surface methodology.
Three independent process parameters, namely pH, biosorbent dose and contact time were selected as input variables while the % biosorption removal was considered as response.
Fig. 2 Response surface plot for the antioxidant capacity of FRB describing the interaction of independent variables namely, pH, temperature, and NaCl concentration on antioxidant capacity of FRB.
In the present study, the inputs to the ANN model were identical to the factors considered in RSM approach, namely, pH, biosorbent dose and contact time.
There are four important factors influencing the value of conversion rate, namely pH (X 1), reaction temperature (X 2), enzyme concentration (X 3), and reaction time (X 4).
