Application of response surface methodology for heterogeneous catalytic removal of paracetamol by OMS-2/persulfate

Tunç, Zeynep; Tepe, Özlem

doi:10.5004/dwt.2022.28184

Cited by 4 publications

(1 citation statement)

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“…RSM uses statistical and mathematical methods together to optimize a large number of variables and the many responses they affect. [ 16 ] In this way, solving and modeling the problems of a complex experimental design is possible with less time and effort. CCD is the most common design under RSM that provides sufficient data on the effects of variables and is a useful model for optimizing the responses obtained.…”

Section: Introductionmentioning

confidence: 99%

Optimizing the efficiency of a three‐step fed anoxic/aerobic sequencing batch reactor using response surface methodology

Gürtekin

2023

CLEAN Soil Air Water

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In this study, the removal of chemical oxygen demand (COD), ammonium nitrogen (NH4+‐N) and total inorganic nitrogen (TIN) in a three‐step fed anoxic/aerobic sequencing batch reactor was investigated. Response surface methodology (RSM) was used to determine and optimize the effect of operating parameters such as the ratio of aerobic/anoxic (Ae/Ax) phase durations, percentage of feeding to the first anoxic phase (R1) and ratio of feeding percentages to the third and second anoxic phases (R3:R2). The results of the analysis of variance (ANOVA) showed that the three independent variables were statistically highly significant (p < 0.0001). The values of the determination coefficient (R2) for the removal efficiency of COD, NH4+‐N and TIN was 0.9558, 0.9334 and 0.9963, respectively, indicating a good agreement between the experimental results and the predicted values. The quadratic model was valid in predicting experimental results. The optimum conditions obtained using the desirability function were found to be 2.05 for the ratio of Ae/Ax phase durations, 43.09% for R1 and 0.86 for R3:R2, where the COD, NH4+‐N and TIN removal efficiency was 94.29, 97.83 and 86.86%, respectively. As a result of the evaluation of the interactive effect of the independent variables, it was determined that R1 was the most effective factor. The results showed that RSM could be used for optimization of operating parameters and improvement of efficiency in a three‐step fed anoxic/aerobic sequencing batch reactor.

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Section: Introductionmentioning

confidence: 99%