Optimization by Box-Behnken design for environmental contaminants removal using magnetic nanocomposite

Luis Buenaño; Eyhab Ali; Ahmed Jafer; Shaima Haithem Zaki; Fathi Jihad Hammady; Salima Baqir Khayoun Alsaadi; Manal Morad Karim; Montather F Ramadan; Alaa A Omran; Ahmed Alawadi; Ali Alsalamy; Ali Kazemi

doi:10.1038/s41598-024-57616-8

Optimization by Box-Behnken design for environmental contaminants removal using magnetic nanocomposite

Sci Rep. 2024 Mar 23;14(1):6950. doi: 10.1038/s41598-024-57616-8.

Authors

Affiliations

¹ Facultad de Mecánica, Escuela Superior Politécnica de Chimborazo (ESPOCH), Riobamba, 060155, Ecuador. lfbuenanio@espoch.edu.ec.
² Al-Zahraa University for Women, Karbala, Iraq.
³ Department of Radiology and Sonar, Al-Manara College for Medical Sciences, Amarah, Maysan, Iraq.
⁴ Department of Anesthesia Techniques, Al-Noor University College, Nineveh, Iraq.
⁵ Department of Medical Engineering, Mazaya University College, Nasiriyah, Dhi Qar, Iraq.
⁶ Department of Medical Engineering, Al-Hadi University College, Baghdad, 10011, Iraq.
⁷ College of Pharmacy, National University of Science and Technology, Nasiriyah, Dhi Qar, Iraq.
⁸ College of Dentistry, Al-Ayen University, Nasiriyah, Dhi Qar, Iraq.
⁹ Department of Medical Engineering, AL-Nisour University College, Baghdad, Iraq.
¹⁰ College of Technical Engineering, The Islamic University of Najaf, Najaf, Iraq.
¹¹ College of Technical Engineering, The Islamic University of Al Diwaniyah, Al Diwaniyah, Iraq.
¹² College of Technical Engineering, The Islamic University of Babylon, Babylon, Iraq.
¹³ College of Technical Engineering, Imam Ja'afar Al-Sadiq University, Baghdad, Al-Muthanna, 66002, Iraq.
¹⁴ School of Public Health, Tehran University of Medical Sciences, Tehran, Iran. alikazemichem@gmail.com.

Abstract

In this study, a CoO-Fe₂O₃/SiO₂/TiO₂ (CIST) nanocomposite was synthesized and utilized as an adsorbent to remove methylene blue (MB), malachite green (MG), and copper (Cu) from aqueous environments. The synthesized nanocomposite was characterized using field emission scanning electron microscopy (FE-SEM), Fourier-transform infrared spectroscopy (FTIR), thermogravimetric analysis (TGA), and X-ray diffraction (XRD). Input parameters included pH (3-10), contact time (10-30 min), adsorbent amount (0.01-0.03 g), and pollutant concentration (20-60 mg L^-1). The effects of these parameters on the removal process efficiency were modeled and optimized using the response surface methodology (RSM) based on the Box-Behnken design (BBD). The RSM-BBD method demonstrated the capability to develop a second-degree polynomial model with high validity (R²˃ 0.99) for the removal process. The optimization results using the RSM-BBD method revealed a removal efficiency of 98.01%, 93.06%, and 88.26% for MB, MG, and Cu, respectively, under optimal conditions. These conditions were a pH of 6, contact time of 10 min, adsorbent amount of 0.025 g, and concentration of 20 mg L^-1. The synthesized adsorbent was recovered through five consecutive adsorption-desorption cycles using hydrochloric acid. The results showed an approximately 12% reduction from the first to the seventh cycle. Also, MB, MG, and Cu removal from real water samples in optimal conditions was achieved in the range of 81.69-98.18%. This study demonstrates the potential use of CIST nanocomposite as an accessible and reusable option for removing MB, MG, and Cu pollutants from aquatic environments.

Keywords: Box–Behnken design; Dye; Heavy metals; Removal; Response surface methodology.