Evidence map›Paper›PMID 40020050›Full record

ArticleScience advances2025

Approaching infinite selectivity in membrane-based aqueous lithium extraction via solid-state ion transport.

Sohum K Patel, Arpita Iddya, Weiyi Pan, Jianhao Qian, Menachem Elimelech

Abstract read
In one paragraph

Article in Science advances, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Design strategies for ion-sieving charge mosaic membranes toward sustainable lithium extraction.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  5. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Sohum K PatelDepartment of Chemical and Environmental Engineering, Yale University, New Haven, CT 06520-8286, USA.ORCID 0000-0001-5228-9449
Arpita IddyaDepartment of Chemical and Environmental Engineering, Yale University, New Haven, CT 06520-8286, USA.ORCID 0000-0002-9811-1096
Weiyi PanDepartment of Chemical and Environmental Engineering, Yale University, New Haven, CT 06520-8286, USA.ORCID 0000-0001-6587-1040
Jianhao QianDepartment of Chemical and Environmental Engineering, Yale University, New Haven, CT 06520-8286, USA.ORCID 0000-0003-0508-7494
Menachem ElimelechDepartment of Chemical and Environmental Engineering, Yale University, New Haven, CT 06520-8286, USA.ORCID 0000-0003-4186-1563

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As the gap between lithium supply and demand continues to widen, the need to develop ion-selective technologies, which can efficiently extract lithium from unconventional water sources, grows increasingly crucial. In this study, we investigated the fundamentals of applying a solid-state electrolyte (SSE), typically used in battery technologies, as a membrane material for aqueous lithium extraction. We find that the anhydrous hopping of lithium ions through the ordered and confined SSE lattice is highly distinct from ion migration through the hydrated free volumes of conventional nanoporous membranes, thus culminating in unique membrane transport properties. Notably, we reveal that the SSE provides unparalleled performance with respect to ion-ion selectivity, consistently demonstrating lithium ion selectivity values that are immeasurable by even the part-per-billion detection limit of mass spectrometry. Such exceptional selectivity is shown to be the result of the characteristic size and charge exclusion mechanisms of solid-state ion transport, which may be leveraged in the design of next-generation membranes for resource recovery.

Identifiers

PMID40020050
PMCPMC11870030

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.