Sequential optimization of bioprocess nutritional parameters for maximum l-asparaginase production from Pseudomonas aeruginosa BGR1I1

Current approaches toward the removal of methylene blue dye from synthetic textile effluent using bacterial treated agricultural waste absorbent through statistical design

“…No power transformation was proposed since the suggested model contains one lambda value that is both close to the optimal lambda value and falls within the provided range. All these diagnostics data support the adequacy of the suggested model [ 80 ]. This model was used to produce predictions about the response for certain values of each element using the second-order polynomial equation in terms of coded factors.…”

“…The F-value for the lack of fit of 0.9895 indicates that the lack of fit is not significant in comparison to the pure error (non-significant Lack of Fit is good for the model to fit). A significant Lack of Fit F-value has a 50.45% possibility of being caused by noise ( Table 6 ) [ 80 ]. All of these fit statistical data attest to the quadratic model's suitability for the increased dye removal.…”

“…The medium must be modified by adding pH 6.36823, temperature 44.6645, bacteria concentration 3.04204, and dye removal 55.89 for maximal dye removal production. Using Bacillus licheniformis and the modified selective medium with the recommended solution, laboratory flask tests were conducted in triplicates to validate the suggested optimized solution [ 80 ]. Data from the anticipated response trials were compared with the findings from the validation studies.…”