Study of the kinetics, mechanisms and catalysis activity of photo-electro degradation of organic pollutants via new neural network based methodology

Abstract

A novel calculation methodology containing modeling and statistics was developed to assist the experimental process for the investigation of organics treatment process. A continuous-flow photo-electro treatment of Norfloxacin (NOR) was chosen as a target subject. The methodology is based on a new synergistic work of reaction energy calculation, full-scanned neural network (NN) simulation and new physical kinetics modeling. Degradation kinetics, mechanisms and activity of degradation catalyst, etc., were studied. As a result, the reaction energy calculation figured out eight potential degradation pathways of NOR with the corresponding intermediate. NN process with fully scanned parameters showed dominating advantage compared to non-linear regression and first-order law in simulation work. With the obtained database from NN, the new physical model successfully distributed degradation contribution into direct, indirect and water flow routes. The new methodology helped to gain more valuable information with less experimental work, which guided the efficient and greener investigation process in corresponding studies.