“…In this context, the response surface methodology (RSM) is an appropriate strategy to model CF process (Khettaf et al 2021;Nayeri and Mousavi, 2020). RSM is a statistical technique that allows representing the in uence of a set of variables over the response of interest using a minimum number of experiments (Iloamaeke et al 2021;Myers and Montgomery, 1971). RSM has been proven as a reliable strategy to optimize CF process in several studies; such as e uents from the textile industry to reduce color, turbidity and chemical oxygen demand (COD) (Dotto et al 2019;Sakhi et al 2020), a tannery industry e uent to reduce COD (Pinto et al 2019), a municipal wastewater to reduce turbidity, COD and biochemical oxygen demand (BOD) (Joaquin and Nirmala, 2019), an e uent obtained from a biodiesel production plant to reduce COD, turbidity and solids (Daud et al, 2018), and an e uent from the oil industry to reduce COD, turbidity, color and solids (Singh and Kumar, 2020).…”