A Machine Learning Approach to Predict Dye Degradation Efficiency Using ANN in Photocatalytic Systems

This paper describes a low-cost, environmentally benign, one-step green production of TiO۲ nanoparticles using leaf extract of Cinnamomum Tamala, along with photocatalytic activity under UV light that is studied kinetically and reusable. Titanium isopropoxide was used as a precursor of TiO۲ and leaf extract was used as a reducing and capping agent. XRD spectra show the crystallinity and anatase phase of TiO۲ nanoparticles. FTIR spectra depict the presence of the Ti-O bond. Spherical TiO۲ nanoparticles were observed from the FESEM image with an average size of ۳۸.۳۴ nanometers. UV-Vis spectra also confirm the presence of TiO۲ nanoparticles with no other impurity with bandgap ۳.۳۲ ev. Kinetic study and reusability study were also performed under UV light to photocatalytic degradation (۸۶.۵۰%, time ۹۰ minutes) of MB dye. Photocatalytic performance was almost the same up to ۱۰ times of washing cycles. pH ۷ is the ideal condition for photocatalytic degradation of MB from wastewater under UV light. ANN model of the degradation has been carried out for degradation procedure.

کلیدواژه ها:

Green synthesis ، TiO۲ Nanoparticles ، photocatalytic study ، reusability study ، ANN Modeling