Issue 37, 2023

Optimization by central composite design (CCD)-response surface methodology (RSM) of the highly selective molecularly imprinted Ni and F co-doped TiO2 photocatalyst for photocatalytic degradation of bisoprolol

Abstract

Molecularly imprinted Ni and F co-doped TiO2 nanoparticles were synthesized via the sol–gel method. The nanoparticles displayed high photocatalytic activity under both sunlight and artificial visible light for degradation of bisoprolol. Characterization of the nanoparticles was carried out using XRD, FE-SEM, TEM, FT-IR, DRS, EDX and BET-BJH. The effects of different operational variables on the photocatalytic activity were optimized using the response surface methodology (RSM). The optimal experimental conditions for achieving the highest photocatalytic efficiency (72.5% by a desirability function value of 1.0) are as follows: pH = 5.9, photocatalyst mass = 83.42 mg, bisoprolol concentration = 16.2 mg L−1, and irradiation time = 137 min. The selectivity of the photocatalyst was investigated against pantoprazole. The excellent photocatalytic activity is attributed to the doping of Ni and F dopants into the TiO2 structure. The investigation of the mechanism of the photocatalytic reaction revealed that the main active species involved in the degradation of bisoprolol are OH˙ radicals.

Graphical abstract: Optimization by central composite design (CCD)-response surface methodology (RSM) of the highly selective molecularly imprinted Ni and F co-doped TiO2 photocatalyst for photocatalytic degradation of bisoprolol

Article information

Article type
Paper
Submitted
06 Jul 2023
Accepted
21 Aug 2023
First published
22 Aug 2023

New J. Chem., 2023,47, 17346-17358

Optimization by central composite design (CCD)-response surface methodology (RSM) of the highly selective molecularly imprinted Ni and F co-doped TiO2 photocatalyst for photocatalytic degradation of bisoprolol

N. Asadbeigi, M. H. Givianrad, P. A. Azar and M. Saber-Tehrani, New J. Chem., 2023, 47, 17346 DOI: 10.1039/D3NJ03149G

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