Adsorption of Fe(III) using Fe3O4@MNPs modified with Silica through a simple and time-saving method: Optimization by RSM

Authors

  • Dr. Asmaa Mohey Eldin Abdel Rahim Chemistry Department - College of Science - Hafr Al Batin University-Saudi Arabia , قسم الكيمياء - كلية العلوم - جامعة حفر الباطن - المملكة العربية السعودية Author
  • Shimaa Al_Shammari Chemistry Department - College of Science - Hafr Al Batin University-Saudi Arabia , قسم الكيمياء - كلية العلوم - جامعة حفر الباطن - المملكة العربية السعودية Author
  • Athmar Al_Shammari Chemistry Department - College of Science - Hafr Al Batin University-Saudi Arabia , قسم الكيمياء - كلية العلوم - جامعة حفر الباطن - المملكة العربية السعودية Author

DOI:

https://doi.org/10.61856/bj875986

Keywords:

Nanocomposite; Silica gel; Adsorption; Fe(III); Response Surface Methodology

Abstract

This study aims to develop a simple method for preparing modified magnetic nanoparticles. This is created by preparing Fe3O4 nanoparticles modified with Silica (Fe3O4@MNPs@Silica) using a quick, simple, and easy solid-phase extraction approach for Fe(III) removal from aqueous solutions.  This nanocomposite was characterized using FTIR, XRD, and SEM analysis. In this context the optimization of Fe(III) adsorption by silica-coated Fe3O4 nanoparticles was studied. The effects of various parameters such as pH, adsorbent dosage, initial concentration, and time on the adsorption process were investigated. It was found that the adsorption capacity of Fe(III) increased with increasing adsorbent dosage and initial concentration and decreased with increasing pH and time. The experimental adsorption conditions were optimized using Response Surface Methodology (RSM). Fe3O4@MNPs@Silica adsorbent has an adsorption capacity of 3.870 mmol-Fe(III) g–1, at pH = 2.5. This confirms a high affinity of Fe3O4@MNPs@Silica towards Fe(III).

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Published

15-09-2025

How to Cite

Abdel Rahim, D. A. M. E., Al_Shammari, S., & Al_Shammari, A. (2025). Adsorption of Fe(III) using Fe3O4@MNPs modified with Silica through a simple and time-saving method: Optimization by RSM. International Innovations Journal of Applied Science, 2(2). https://doi.org/10.61856/bj875986