Process optimization and enhancement of pesticide adsorption by porous adsorbents by regression analysis and parametric modelling.

ABSTRACT: In the present study, the adsorptive removal of organophosphate diazinon pesticide using porous pumice adsorbent was experimentally investigated in a batch system, modelled and optimized upon response surface methodology (RSM) and artificial neural network-genetic algorithm (ANN-GA), fitted to isotherm, kinetic and thermodynamic models. The quantification of adsorbent elements was determined using EDX. XRD analysis was utilized to study the crystalline properties of adsorbent. The FT-IR spectra were taken from adsorbent before and after adsorption to study the presence and changes in functional groups. The constituted composition of the adsorbent was determined by XRF. Also, the ionic strength and adsorbent reusability were explored. The influences of operational parameters like pH, initia

SUBMITTER: Dehghani MH 

PROVIDER: S-EPMC8175395 | biostudies-literature | 2021 Jun

REPOSITORIES: biostudies-literature