Cited by 193Adsorption and biosorption for pollutant removalEnvironmental remediation with nanomaterialsHeavy metals in environment

Enhanced adsorption for Pb(II) and Cd(II) of magnetic rice husk biochar by KMnO4 modification

Sun, Chen, Chen, Tong, Huang, Qunxing, Wang, Jun, Lu, Shengyong, Yan, Jianhua·2019·Environmental Science and Pollution Research

Abstract

Novel KMnO 4-treated magnetic biochar (FMBC) was successfully synthesized by addition of Fe(NO 3)3 during carbonization and KMnO 4 treatment following for Pb(II) and Cd(II) adsorption. SEM-EDS, XPS, and ICP-AES were used to evaluate the FMBC and magnetic biochar (FBC) on surface morphology, surface chemistry characteristics, surface functional groups, and Pb(II) and Cd(II) adsorption behavior. Results showed that the Langmuir maximum adsorption quantity of FMBC reached 148 mg/g for Pb(II) and 79 mg/g for Cd(II), nearly 7 times of that of FBC. The enhancement of FMBC for heavy metal adsorption was due to the successful load of manganese oxides and the increased oxygen functional groups consistent with XPS and FTIR results. The adsorption capacities of FMBC were maintained over 95% when the pH value was higher than 2.5 and 3.5 for Pb(II) and Cd(II), respectively. The adsorption performances of both heavy metals by FMBC were hardly influenced by ionic strength and humid acid. The adsorption capacities of FMBC could maintain over 50% and 87% after four cycles for Pb(II) and Cd(II), respectively. The saturation magnetization of FMBC was about 11.5 emu/g, which did not change after adsorption. This work proposed a new method to fabricate a magnetic biochar with high adsorption capacities of heavy metals Pb(II) and Cd(II).

Integrity signals

Registry

Crossref · 10.1007/s11356-019-04321-z

Cites

4 of 4 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

We couldn’t retrieve this paper’s full text, so its claims and self-check weren’t run. The registry and citation checks still apply.

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?

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Sun, C., Chen, T., Huang, Q., Wang, J., Lu, S., & Yan, J.
Affiliations
  • State Key Laboratory of Clean Energy Utilization (CN)
  • Everbright International (China) (CN)
Corresponding author
Chen, Tong
Venue
Environmental Science and Pollution Research
Published
2019-02-04
Volume
26
Issue
9
Pages
8902-8913
ISSN
  • 0944-1344 (ISSN-L)
  • 1614-7499
OpenAlex
W2911790446
Cited by
193
References
4
Citations by year
2026: 13 · 2025: 26 · 2024: 33 · 2023: 36 · 2022: 31 · 2021: 30 · 2020: 16 · 2019: 8
FWCI
7.68
Type
journal article
Language
en
Open access
closed
Locations
  • Environmental Science and Pollution Research (publishedVersion)
  • PubMed (publishedVersion)
Funders
  • The National Key Research and Development Program of China (2016YFD0801104)
  • the Fundamental Research Funds for the Central Universities (No. 2016XZZX002-02)
  • National Natural Science Foundation of China (No. 51621005)
Topics
  • Physical Sciences › Environmental Science › Water Science and Technology › Adsorption and biosorption for pollutant removal
  • Physical Sciences › Engineering › Biomedical Engineering › Environmental remediation with nanomaterials
  • Physical Sciences › Environmental Science › Pollution › Heavy metals in environment
Keywords
magnetic biochar, rice husk biochar, potassium permanganate modification, lead adsorption, cadmium adsorption, heavy metal removal, manganese oxide, oxygen-containing functional groups, adsorption capacity, adsorbent reusability, saturation magnetization
MeSH terms
Adsorption, Cadmium, Charcoal, Lead, Magnetics, Oxides, Potassium Permanganate, Oryza, Manganese Compounds, Environmental Restoration and Remediation

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