Please use this identifier to cite or link to this item: https://hdl.handle.net/11499/58215
Title: Sodium nanoferrite-based solid phase extraction: a green method for the simultaneous determination of cadmium, copper, and lead
Authors: Perveen, Saima
Hol, Aysen
Baig, Jameel Ahmed
Sherazi, Syed Tufail Hussain
Akhtar, Khalil
Hussain, Sajjad
Abbasi, Fahad
Keywords: Preconcentration
Separation
Food
Publisher: Royal Soc Chemistry
Abstract: In the current study, a solid phase extraction (SPE) methodology utilizing sodium ferrite nanoparticles (Na2Fe4O7-NPs; SF-NPs) is presented for the simultaneous determination of heavy metals (HMs) via flame atomic absorption spectrometry (FAAS). SF-NPs were synthesized by an eco-friendly sol-gel auto-combustion method using Tamarindus indica fruit extract as a stabilizing agent. The characterized SF-NPs exhibited a high surface area with uniform distribution, high stability, and a negative surface charge, making it a promising material for excellent adsorption of HMs. The SF-NP-based SPE procedure involved optimizing parameters such as pH, adsorbent dosage, sample volume, eluent composition, volume, and concentration. The developed SF-NP-based SPE method demonstrated low detection limits, i.e., 0.006, 0.008, and 0.009 mu g L-1 for the analysis of Cd, Cu, and Pb, respectively. The SF-NP-based SPE methodology was validated by examining certified reference material and real samples, yielding accurate results with good recoveries (>95%) with a relative standard deviation of <5.0%. The developed SF-NP-based SPE method offers a promising approach for the simultaneous determination of Cd, Cu, and Pb in water and food samples, providing an efficient and environmentally friendly analytical tool for monitoring heavy metal contamination.
URI: https://doi.org/10.1039/d4ja00210e
https://hdl.handle.net/11499/58215
ISSN: 0267-9477
1364-5544
Appears in Collections:Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection

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