Modeling of removal of an organophosphorus pesticide from aqueous solution by amagnetic metal-organic framework composite

• 作者: Abdolraouf Samadi-Maybodi Mohsen Nikou
• 来源期刊: 中国化学工程学报（英文版）
• 年，卷（期）: 2021,（12）
• 所属期刊栏目: Materials and Product Engineering
• 页码范围: 323-335
• 页数: 13页
• 语种: 英文

摘要

Today,a variety of pesticides are used to fight plant pests in the world.The entry of these resistant pol-lutants into water resources can have devastating effects on human health and the environment,hence their removal from the environment is a vital task.In the present work,the magnetic iron-based metal-organic framework (Fe3O4/MIL-101 (Fe)) was synthesized by a simple and feasible method and character-ized by FT-IR,XRD,BET,FESEM,TEM,TGA,and VSM techniques.The synthesized nanocomposite was suc-cessfully applied for the removal of fenitrothion (FEN) pesticide from the aqueous solutions.The isothermal and kinetic models were also investigated.The Langmuir isotherm model (type Ⅰ) and pseudo-second-order kinetic model were more consistent in the adsorption process.The thermodynamic parameters of fenitrothion sorption were also calculated.The results revealed that the adsorption of fen-itrothion onto Fe3O4/MIL-101 (Fe) was spontaneous and endothermic under optimized conditions.Moreover,the removal efficiency of FEN was predicted using the developed fuzzy logic model.Four input variables including the initial concentration of FEN (mg·L-1),pH of the solution,adsorbent dosage (mg),and contact time (min) versus removal efficiency as output were fuzzified by the usage of an artificial intelligence-based method.The fuzzy subsets consisted of Triangular and Trapezoidal membership func-tions (MFs) with six levels and a total of 23 rules in IF-THEN format which was applied on a Mamdani inference system.The obtained coefficient of determination value (R2pred=0.98205) proved the excellent accuracy of the fuzzy logic model as a powerful tool for the prediction of FEN removal efficiency.