Removal of naproxen from wastewater using chitosan-aerogel-activated carbon biocomposites: Theory, equilibrium, kinetics, thermodynamics, and process optimization


Ozcan N., Yalcin B. S. , BİLGİN ŞİMŞEK E., Saloğlu Dertli D.

WATER ENVIRONMENT RESEARCH, vol.94, no.3, 2022 (Journal Indexed in SCI) identifier identifier identifier

  • Publication Type: Article / Article
  • Volume: 94 Issue: 3
  • Publication Date: 2022
  • Doi Number: 10.1002/wer.10699
  • Title of Journal : WATER ENVIRONMENT RESEARCH
  • Keywords: aerogel, experimental design, isotherm, kinetics, naproxen, ANTIINFLAMMATORY DRUG-NAPROXEN, ALGINATE BEADS, HOLLOW-FIBER, ADSORPTION, DICLOFENAC, BEHAVIOR

Abstract

This study investigated the performance of chitosan-aerogel-activated carbon (CHT:AEO:AC) biocomposite as an adsorbent for the removal of naproxen from wastewater. Naproxen removal in % was 99, 33, 62, and 90 using 300 mg of raw AC, raw CHT, CHT:AEO, and CHT:AEO:AC, respectively. Langmuir, Freundlich, Dubinin-Radushkevich (D-R), and Temkin isotherm models were used to obtain adsorption isotherms. Chi-squared (chi(2)) and correlation coefficients (R-2) values showed that the parameters of the Freundlich, Temkin, and D-R models were more suitable for naproxen adsorption than the Langmuir model for raw CHT, CHT:AEO, and CHT:AEO:AC, whereas the Langmuir model fitted well for raw AC. The adsorption of naproxen onto biocomposites was defined by pseudo-second-order kinetic model, and adsorption rate constants were 0.245, 0.036, 0.075, and 0.147 mg g(-1) min(-1) for raw AC, raw CHT, CHT:AEO, and CHT:AEO:AC, respectively. The impact of optimum process conditions on naproxen adsorption was explored using response surface methodology. The optimum independent variables were 288.94 mg, 29.64 degrees C, and 372.5 min, leading to a rate of naproxen removal onto CHT:AEO:AC of 90.29%. Practitioner Points Naproxen adsorption from wastewater using chitosan-aerogel-activated carbon biocomposite (CHT:AEO:AC) was investigated. The effects of the amount of biocomposite, temperature, and time on the adsorption were investigated. Optimization of the process conditions was carried out using the response surface methodology.