Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 164

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Adsorption and Desorption Behavior of Lithium Ion in Spherical PVC–MnO2 Ion Sieve

Xiao, Guoping, Tong, Kefeng, Zhou, Longsheng, Xiao, Jiali, Sun, Shuying, Li, Ping, Yu, Jianguo·2012·Industrial & Engineering Chemistry Research

Abstract

A spherical PVC–MnO 2 ion sieve of 2.0–3.5 mm diameter was prepared by the antisolvent method using synthesized Li 4 Mn 5 O 12 ultrafine powder as the precursor, poly(vinyl chloride) as the binder, and N -methyl-2-pyrrolidone as solvent. Batch experiments of the adsorption capacity (isotherm) and adsorption rate of Li + on the spherical PVC–MnO 2 ion sieve were studied. Spherical PVC–MnO 2 had a high adsorption capacity for Li +, and the isotherm data were well fitted by the Langmuir model; the adsorption kinetics were well described by the Lagergren equation. Furthermore, a mathematical model was set up to calculate the film mass transfer coefficient ( k f ) and pore diffusivity ( D p ) of the adsorbent. Continuous flow experiments for study of Li + adsorption breakthrough and the subsequent desorption (elution) in a PVC–MnO 2 packed column were carried out employing six feed solutions of various pH values and concentrations of Li +, Na +, K +, and Mg 2+ for simulating brine samples of various salt lakes and/or seawaters. After the adsorption treatment to concentrate the Li + on PVC–MnO 2, the column was regenerated by 1.0 mol/L HCl which supplied H + to accomplish elution of the adsorbed Li + by ion exchange. The experimental results demonstrate that PVC–MnO 2 had high selectivity for Li + and that its adsorption of Li + from the feed were little affected by Na +, K +, and Mg 2+ also present in the feed solution. Spherical PVC–MnO 2 is an attractive medium for large scale lithium extraction from brine or seawater.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1021/ie300087s

Cites

1 of 1 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Cited by

See all 164

Metadata

Authors
Xiao, G., Tong, K., Zhou, L., Xiao, J., Sun, S., Li, P., & Yu, J.
Venue
Industrial & Engineering Chemistry Research
Published
2012-08-10
Volume
51
Issue
33
Pages
10921-10929
ISSN
  • 0888-5885 (ISSN-L)
  • 1520-5045
OpenAlex
W2314988445
Cited by
164
References
1
FWCI
8.82
Type
journal article
Language
en
Open access
closed

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

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.