Fe3O4-FeMoS4: Promise magnetite LDH-based adsorbent for simultaneous removal of Pb (II), Cd (II), and Cu (II) heavy metal ions
Abstract
There have always been numerous challenges to designing a cost-effectiveness, reusable and robust adsorbents for simultaneous heavy metal ion remediations from wastewaters. Herein, a novel kind of nanocomposite relying on the synergic impact of magnetic Fe 3 O 4, FeMoS 4-2, and magnesium-aluminum layered double hydroxide (MgAl-LDH) using loading the FeMoS 4-2 on protonated Fe 3 O 4 and adhered to the surface of Mg/Al-LDH (Fe 3 O 4/FeMoS 4/MgAl-LDH). The nanocage structures adsorbent was characterized via FT-IR, XRD, FE-SEM, EDX, and VSM techniques and demonstrated having an efficient adsorption capability to common cationic pollutants (Pb (II), Cd (II) and Cu (II) by batch experiments. Disparate chief parameters affecting adsorption performance, including Fe 3 O 4/FeMoS 4/MgAl-LDH mass, metal ion concentrations, solution pH, and contact time were considered and optimized through central composite design (CCD) in detail. Its supreme adsorption efficiency toward Pb (II), Cd (II), and Cu (II) accounted for 190.75, 140.50, and 110.25 mg g-1, respectively, which acquired by the Langmuir model under the parameter set at 60 min contact time, solution pH at 5, 0.03 g the Fe 3 O 4/FeMoS 4/MgAl-LDH and metal ion concentrations ranging from 10 to 300 mg L-1. Such enhancement stemmed from the coordinated complexes in the LDH interlayer region and electrostatic attraction between Fe 3 O 4/FeMoS 4/MgAl-LDH and metal ions. Furthermore, the adsorption conducts were more consistent with the pseudo-second-order model and the Langmuir isotherm model, respectively. Likewise, the features such as the superior regeneration and reusability allow the Fe 3 O 4/FeMoS 4/MgAl-LDH nanocomposite to constitute as one of the promising materials for heavy metals remediation in wastewater.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The presence of iron particles in adsorbent is very efficient in metal ion removal from effluent.
“The presence of iron particles in adsorbent is very efficient in metal ions removal from effluent 28 .”
From Removal of heavy metal ions from wastewater: a comprehensive and critical review (2021) · cites this paper as [28]
The citation lists haven’t been fetched yet
References 62 · Cited by 236
- Authors
- Behbahani, E. S., Dashtian, K., & Ghaedi, M.
- Affiliations
- Yasouj University (IR)
- Corresponding author
- Ghaedi, Mehrorang
- Venue
- Journal of Hazardous Materials
- Publisher
- Elsevier BV
- Published
- 2021-05
- Volume
- 410
- Pages
- 124560
- ISSN
- 0304-3894 (ISSN-L)
- OpenAlex
- W3103958588
- Cited by
- 236
- References
- 62
- Citations by year
- 2026: 19 · 2025: 50 · 2024: 50 · 2023: 53 · 2022: 38 · 2021: 25
- FWCI
- 8.89
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Hazardous Materials (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Yasouj University
- Topics
- Physical Sciences › Environmental Science › Water Science and Technology › Adsorption and biosorption for pollutant removal
- Physical Sciences › Materials Science › Materials Chemistry › Layered Double Hydroxides Synthesis and Applications
- Physical Sciences › Engineering › Biomedical Engineering › Environmental remediation with nanomaterials
- Keywords
- magnetite, Mg-Al layered double hydroxide, heavy metal adsorption, lead removal, cadmium removal, copper removal, wastewater treatment, adsorbent regeneration, Langmuir isotherm, pseudo-second-order kinetics, central composite design
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review