Evidence map›Paper›PMID 41745510›Full record

ReviewMembranes2026

Membrane Separation for Rare Earth Elements (A Review).

Aaron T Ben-Elijah, Tammy M Lutz-Rechtin, S Ranil Wickramasinghe, Xiaoyu Wang

Abstract readReview
In one paragraph

Review in Membranes, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. Review
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

4 authors.

Aaron T Ben-ElijahRalph E. Martin Department of Chemical Engineering, University of Arkansas, Fayetteville, AR 72701, USA.ORCID 0009-0009-0245-1650
Tammy M Lutz-RechtinRalph E. Martin Department of Chemical Engineering, University of Arkansas, Fayetteville, AR 72701, USA.
S Ranil WickramasingheRalph E. Martin Department of Chemical Engineering, University of Arkansas, Fayetteville, AR 72701, USA.
Xiaoyu WangRalph E. Martin Department of Chemical Engineering, University of Arkansas, Fayetteville, AR 72701, USA.ORCID 0000-0003-2228-0114

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Rare earth elements (REEs) are increasingly critical for advanced technologies like high-tech electronic devices, electric vehicles, catalysts, and supercapacitors. However, separating and purifying the REEs is challenging due to their similar physicochemical properties, such as ionic sizes and oxidation states. Traditional methods like solvent extraction require extensive use of organic solvents, involving multiple stages that generate large volumes of acidic liquid wastes. This article introduces membrane separation technologies as a more efficient approach that minimizes waste generation and offers higher selectivity and recovery rates in a single step. Membrane separation methods utilize free energy gradients and differences in ionic size or material affinity to selectively reject or allow ion adsorption and diffusion through the membrane pores. In this review paper, we critically evaluate recent advancements in the development and implementation of membrane-based systems and focus on exploring different membrane materials for REE separation, including polymer inclusion membranes, ion-imprinted membranes, nanofiltration membranes, electrodialysis membranes, metal-organic frameworks, and supported liquid membranes. The advantages, potential challenges, and technical issues with implementing these technologies are discussed, and possible areas for improvement and insights for further research are presented.

Indexed as

membranerare earth elementsREEsseparation

Identifiers

PMID41745510
PMCPMC12942834

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.