Flurbiprofen Sodium

Granular activated carbon (GAC)-based adsorption treatment for micropollutant removal is known to be cost-effective and environmentally sustainable.However, an efficient method is urgently needed to assess the applicability of GAC for a diverse range of micropollutants in various wastewater conditions.Therefore, we developed predictive models to determine the maximum uptake (qmax; calculated by the Langmuir model) and distribution factor (KF; calculated by the Freundlich model) of a range of micropollutants on GAC, which can help overcome exptl. limitations, save resources and time, and provide a deeper understanding of adsorption mechanisms.Exptl. isotherms for controlled conditions to obtain the qmax and KF were performed for both artificial and real wastewaters. qmax values of micropollutants were similar in both wastewaters, but KF values differed slightly.Exptl. obtained qmax and KF values were used in linear free energy relationship-based predictive modeling.The results showed reasonable predictive accuracy for qmax, with R2 values ranging from 0.844 to 0.875 and standard errors between 0.144 and 0.072 log units for both artificial and real wastewater conditions.For KF, the model showed R2 values between 0.803 and 0.762, with standard errors ranging from 0.189 to 0.163 log units.The two models showed high potential for use in GAC-based micropollutant removal.