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Removal of Targeted Pharmaceuticals and Personal Care Products from Wastewater Treatment Plants using QSAR Model

Author(s):

Lavanya Madhura, Shalini Singh*, Suvardhan Kanchi, Myalowenkosi Innocent Sabela, Krishna Bisetty and Inamuddin*   Pages 1 - 13 ( 13 )

Abstract:


Background: Because of their intrinsic ability to induce physiological effects in humans at low doses, pharmaceuticals and personal care products (PPCPs) are a unique group of emerging environmental pollutants. A number of studies have confirmed the occurrence of different PPCPs in environment, which raises concerns about possible adverse effects on humans and wildlife. The removal of PPCPs from wastewaters has become a major activity to reduce pollution due to their adverse effects on humans and aquatic ecosystems.

Method: This study aimed to design a Quantitative Structure Activity Relationship (QSAR) model for the removal of 57 PPCPs from wastewater treatment plants (WWTPs) of historical data obtained from plants located in South Korea. The target compounds of PPCPs were optimised geometrically using a Forcite-Geometry code, assembled in Material Studio 2016.

Results: The removal efficiency of PPCPs are dependents on several preliminary molecular descriptors including rotatable bonds (RBs), hydrogen bond donor (HBD), total molecular mass (TMM), binding energy (BE), atom count (AC), element count (EC), total energy (TE), total dipole (TD), highest occupied molecular orbital (HOMO) and lowest unoccupied molecular orbital (LUMO). A Genetic Function Approximation (GFA) method was adopted to perform regression analysis and create correlation between experimental data (literature) and measured data (QSAR model).

Conclusion: A QSAR model equation was established and used to predict removal efficiency of 57 PPCPs the results obtained showed goodness of fit, R2 greater than 0.90 indicating that the internal and external validations were also performed on the model.

Keywords:

QSAR model, Pharmaceuticals and personal care products, Wastewater treatment plants, GFA method

Affiliation:

Department of Operations and Quality Management, Durban University of Technology, Durban- 4000, Department of Operations and Quality Management, Durban University of Technology, Durban- 4000, Department of Chemistry, Faculty of Applied Science, Durban University of Technology, Durban- 4000, Department of Chemistry, Faculty of Applied Science, Durban University of Technology, Durban- 4000, Department of Chemistry, Faculty of Applied Science, Durban University of Technology, Durban- 4000, Chemistry Department, Faculty of Science, King Abdulaziz University, Jeddah- 21589



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