Green Adsorption Strategy for the Efficient Removal of Moxifloxacin from Wastewater via Hollow Carbon Spheres


CAN H., Miloglu F., YÜKSEL B., BAYRAK B., KADIOĞLU Y., HASSIBELNABY A. M. A.

Journal of Analytical Chemistry, cilt.80, sa.11, ss.1843-1853, 2025 (SCI-Expanded, Scopus) identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 80 Sayı: 11
  • Basım Tarihi: 2025
  • Doi Numarası: 10.1134/s1061934825700984
  • Dergi Adı: Journal of Analytical Chemistry
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Chemical Abstracts Core, Chimica, Compendex
  • Sayfa Sayıları: ss.1843-1853
  • Anahtar Kelimeler: adsorption, central composite design, green chemistry, hollow carbon spheres, moxifloxacin
  • Atatürk Üniversitesi Adresli: Evet

Özet

Abstract: This study presents an efficient and eco-friendly approach for the removal of the antibiotic moxifloxacin (MX) from wastewater via hollow carbon spheres (HCSs) as adsorbents, demonstrating for the first time the use of defect-rich and highly porous HCSs for MX adsorption under optimized conditions via central composite design (CCD). HCSs, selected for their high surface area and hollow structure, were employed as adsorbents in the MX removal process. The optimization of key variables, including the initial MX concentration, pH, ionic strength, and contact time, was achieved through CCD. High-performance liquid chromatography with a C18 column was used to quantify the MX concentrations before and after adsorption. The quadratic regression model was analyzed via analysis of variance (P < 0.01) to ensure statistical robustness. The CCD model identified the optimal conditions for MX adsorption, yielding a significant quadratic model (P < 0.01) and a high adsorption capacity of 823 µg/mg. The optimal conditions were a pH of 10.0, ionic strength of 0.3 M, MX concentration of 15 µg/mL, and contact time of 1 h. Adsorption followed the Langmuir isotherm model, indicating a monolayer adsorption mechanism. The mean recovery of MX on the HCSs was 97.9 ± 2.7%, confirming the model’s accuracy and reliability. These findings highlight HCSs as effective and sustainable solutions for mitigating pharmaceutical pollution in water. The alignment with the Langmuir isotherm model supports the predictability and control of the adsorption process. By minimizing chemical use and reducing environmental impact, this method aligns with green chemistry principles and promotes cleaner water, sustainable industrial practices, and ecosystem protection. In addition, future studies with pilot-scale testing and engineering collaboration will help adapt and scale this approach for real wastewater treatment applications, supporting its practical and industrial implementation. HCSs thus demonstrate significant potential for scalable environmental remediation, offering a step forward in the fight against antibiotic contamination and resistance.