modelling the effect of sorbate-sorbent interphase on the adsorption of pesticides and herbicides by historical data design

Statistical modelling was employed to analyze the effect of sorbate-sorbent interphase on the adsorption of pesticides and herbicides from aqueous media. the dataset used for this study was sourced from relevant and reputable published papers in the past five years. sixty-six lines of data were analyzed using response surface methodology (rsm) and historical data design (hdd) on design expert. five parameters were considered in the study: adsorbate’s relative molecular mass (rmm), adsorbent specific surface area (sbet), adsorbent effective surface area esbet (i.e., the portion of the sbet occupied by the sorbate molecules), the water solubility of adsorbate, and adsorbate preferential adsorption (i.e., the ratio of the amount of sorbate on the sorbent to the amount in solution). from the analysis of variance, it was observed that the sbet of the adsorbent was the most significant determining for the adsorption capacity, q (at a significance level of p<0.05). other significant factors were the rmm, esbet, and the preferential adsorption. generally, solubility did not show any significant influence on the q. the response surface model had an r^2 value of 0.9945 and an adjusted r^2 value of 0.9927. conclusively, the q of an adsorbent towards an herbicide or a pesticide increases with increasing esbet and sbet, irrespective of the sorbate’s solubility and molecular mass.