Using of crushed glass supported Fe/Cu bimetallic nanoparticles for remediation of ciprofloxacin antibiotic from aqueous solution

• Published in: South African journal of chemical engineering Vol. 49; pp. 233 - 248
• Main Authors: Ibrahim, Noor Mazin, Ismail, Hanan Haqi, Abed, Thura Azzam, Saleh, Ouhood Hassan, Abdulhasan, Maryam Jawad
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 01.07.2024; Elsevier
• Subjects: Adsorption; Bimetallic; Ciprofloxacin (CIP); G-Fe/Cu nanoparticles; Grape leaves; G-Fe/Cu nanoparticles; Ciprofloxacin (CIP); Adsorption; Grape leaves; Bimetallic
• ISSN: 1026-9185
• DOI: 10.1016/j.sajce.2024.06.001

The combination of iron and copper (Fe/Cu) loaded on glass (G-Fe/Cu) has been developed for this study. The green synthesis was used to create bimetallic nanoparticles (G-Fe/Cu) using grape leaves extract, which employed as a natural reducing agent to easily produce nZVI from iron salts. The particle size, surface morphology, elemental composition and degree of crystallinity of the resulting nanocomposite have been analyzed by means of energy-dispersive X-ray spectroscopy (EDX), scanning electronic microscopy (SEM), Fourier-transform infrared spectroscopy (FTIR), Energy dispersive X-ray spectroscopy (EDS), and transmission electron microscopy (TEM). G-Fe/Cu nanocomposite were employed as adsorbent materials to eliminate ciprofloxacin (CIP) from polluted aqueous solution. Some factors affecting the adsorption function, in batch and continuous experimentations have been examined to select the optimum parameters that accomplish the maximum elimination ratio (99 %) and to investigate the efficiency of the nanoparticles as reactive bed materials. It was discovered that the ideal conditions were CIP concentration (50 ppm), pH 7, nanoparticles dosage (0.5 mg/ 50 mL) and 100 min of optimum contact time. In present paper, the response surface methodology (RSM) was applied as statistical tool used to optimize and model complex systems for elimination of CIP antibiotic from aqueous solution with selection the same four factors that mentioned above. The best appropriate isotherm model was the Freundlich model in batch study. The findings imply that hazardous compounds can be successfully eliminated from aqueous solutions using the prepared nanocomposites. The model's predictions aligned well with experimental outcomes, and the G-Fe/Cu nanocomposite effectively removed CIP from the solutions.