Degradation of bisphenol A by persulfate coupled with dithionite: Optimization using response surface methodology and pathway

Rapid and long-lasting acceleration of zero-valent iron nanoparticles@Ti3C2-based MXene/peroxymonosulfate oxidation with bi-active centers toward ranitidine removal

“…The three-dimensional (3D) response surface plots and two-dimensional (2D) contour plots were used to reect the interactions between various factors on ranitidine removal. 46,47 Two distinct shapes could be observed in the 2D contour plots, circle and ellipse, with elliptical contour plots in particular implying that the interactions between variables were signicant. 48 The solution pH is an important parameter in iron-based oxidation systems, as it signicantly affects the series of reactions, such as the decomposition of oxidants and the generation of radicals.…”

Degradation of ciprofloxacin by persulfate activated with pyrite: mechanism, acidification and tailwater reuse

“…S1 † ), the concentrations of FeS 2 and PS were optimized using the response surface methodology. 36 Fig. 1a shows the results of the analysis.…”

Exploration on Optimized Control Way of D-Amino Acid for Efficiently Mitigating Membrane Biofouling of Membrane Bioreactor

“…It is beneficial to optimize DAA control ways combination for more efficiently mediating MBR membrane biofouling. Delightfully, RSM can yield useful optimization of interactive effects with considerably fewer experimental runs [ 26 ]. Herein, the RSM was utilized to investigate the dynamic and continuous membrane biofouling process under the different DAA control ways and their optimal combination to mitigate membrane biofouling.…”

“…The weight analysis of DAA control ways was clear by using the MLR model, which points out the direction for further optimizing and predicting precisely. Herein, the various DAA control ways combination can be optimized and predicted by the response surface methodology (RSM) [ 25 , 26 ] to obtain better anti-biofouling efficacies. In this study, a Box-Behnken design (BBD)-based RSM optimization was conducted with Design-Expert 8.0 software, in which a three-factor two-level design was employed, as shown in Table 3 .…”

“…The membrane property ( ), DAA-adding timing ( ), and DAA-control mode ( ) represented three factors and were given two code levels, respectively, and the dependent variable R was still the membrane biofouling rate . Afterwards, the least-squares regression method was used to analyze the results to predict the process response [ 26 ]. Besides, the comparision between the simulated and the actual value was conducted to confirm the accuracy of the RSM model.…”