Cited by 155Membrane Separation TechnologiesMembrane-based Ion Separation TechniquesExtraction and Separation Processes

Lithium Concentration from Salt-Lake Brine by Donnan-Enhanced Nanofiltration

Open access
Foo, Zi Hao, Rehman, Danyal, Bouma, Andrew T., Monsalvo, Sebastian, Lienhard, John H.·2023·Environmental Science & Technology

Abstract

Membranes offer a scalable and cost-effective approach to ion separations for lithium recovery. In the case of salt-lake brines, however, the high feed salinity and low pH of the post-treated feed have an uncertain impact on nanofiltration’s selectivity. Here, we adopt experimental and computational approaches to analyze the effect of pH and feed salinity and elucidate key selectivity mechanisms. Our data set comprises over 750 original ion rejection measurements, spanning five salinities and two pH levels, collected using brine solutions that model three salt-lake compositions. Our results demonstrate that the Li + /Mg 2+ selectivity of polyamide membranes can be enhanced by 13 times with acid-pretreated feed solutions. This selectivity enhancement is attributed to the amplified Donnan potential from the ionization of carboxyl and amino moieties under low solution pH. As feed salinities increase from 10 to 250 g L –1, the Li + /Mg 2+ selectivity decreases by ∼43%, a consequence of weakening exclusion mechanisms. Further, our analysis accentuates the importance of measuring separation factors using representative solution compositions to replicate the ion-transport behaviors with salt-lake brine. Consequently, our results reveal that predictions of ion rejection and Li + /Mg 2+ separation factors can be improved by up to 80% when feed solutions with the appropriate Cl – /SO 4 2– molar ratios are used.

Integrity signals

Registry

Crossref · 10.1021/acs.est.2c08584

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?

  • The conventional nanofiltration process typically involves 10-20 times dilution of high-concentration brine with a large quantity of freshwater in the pre-treatment stage.

    “the conventional NF process typically involves the 10–20 times dilution of high-concentration brine with a large quantity of freshwater in the pre-treatment stage14,27,28.”

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Foo, Z. H., Rehman, D., Bouma, A. T., Monsalvo, S., & Lienhard, J. H.
Affiliations
Massachusetts Institute of Technology (US)
Corresponding author
Lienhard, John H.
Venue
Environmental Science & Technology
Published
2023-04-07
Volume
57
Issue
15
Pages
6320-6330
ISSN
  • 0013-936X (ISSN-L)
  • 1520-5851
OpenAlex
W4362692504
Cited by
155
References
4
Citations by year
2026: 42 · 2025: 58 · 2024: 46 · 2023: 9
FWCI
12.39
Type
journal article
Language
en
Open access
Locations
  • Environmental Science & Technology (publishedVersion)
  • PubMed (publishedVersion)
  • DSpace@MIT (Massachusetts Institute of Technology) (submittedVersion, cc-by-nc-sa)
Funders
  • Massachusetts Institute of Technology
  • U.S. Department of Energy
  • National University of Singapore
  • MIT Energy Initiative
Topics
  • Physical Sciences › Environmental Science › Water Science and Technology › Membrane Separation Technologies
  • Physical Sciences › Engineering › Biomedical Engineering › Membrane-based Ion Separation Techniques
  • Physical Sciences › Engineering › Mechanical Engineering › Extraction and Separation Processes
Keywords
lithium recovery, salt lake brine, nanofiltration, Donnan potential, polyamide membranes, Li+/Mg2+ selectivity, pH effect, feed salinity, ion rejection, ion separation
MeSH terms
Lithium, Salts, Sodium Chloride, Lakes

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