Dataset on photocatalytic degradation of Levofloxacin using hydroxyapatite photocatalyst: Optimization by response surface methodology

Adrian D Go; Francis M Dela Rosa; Drexel H Camacho; Eric R Punzalan

doi:10.1016/j.dib.2022.108219

Dataset on photocatalytic degradation of Levofloxacin using hydroxyapatite photocatalyst: Optimization by response surface methodology

Data Brief. 2022 Apr 29:42:108219. doi: 10.1016/j.dib.2022.108219. eCollection 2022 Jun.

Authors

Adrian D Go¹, Francis M Dela Rosa¹, Drexel H Camacho¹, Eric R Punzalan¹

Affiliation

¹ Department of Chemistry, De La Salle University, 2401 Taft Avenue, Manila 0922, Philippines.

Abstract

The upsurge of antibiotic usage in the 20th century has resulted in increasing levels of pharmaceutical compounds in bodies of water. A particular antibiotic, levofloxacin, is a third-generation quinolone known to target Gram-positive organisms like atypical pathogens. Chronic toxic effects of levofloxacin to some microorganisms lead to the disruption of marine ecosystems. Unfortunately, a relatively low concentration of levofloxacin in water bodies discourages researchers from exploring potential risk assessment and removal in wastewater treatment plants. In this article, aqueous levofloxacin was degraded using hydroxyapatite catalyst under UV-irradiation. Response Surface Methodology (Box Behnken Model) was used to model and optimize the degradation efficiency parameter. The response was fitted into a 2-factor interaction equation revealing a satisfactory ANOVA evaluation (R²=97.08%, adjusted R²= 94.89, predicted R²=91.1%). An optimal photodegradation efficiency was determined to attain the following conditions: 1.5 g/L catalyst dose, 4 ppm levofloxacin, and a pH level of 10. The model predicted a value of 71.6% degradation efficiency, which is very close to 70.6% generated experimentally.

Keywords: Box-Behnken design; Hydroxyapatite; Levofloxacin (LEVO); Mathematical model; Photocatalysis; Response surface methodology.