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Record W4409158743 · doi:10.1016/j.jece.2025.116478

Sustainable layer-by-layer assembled nanofiltration membranes with optimized pore size for lithium-magnesium selective separation

2025· article· en· W4409158743 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueJournal of environmental chemical engineering · 2025
Typearticle
Languageen
FieldEngineering
TopicExtraction and Separation Processes
Canadian institutionsUniversity of Alberta
FundersNatural Sciences and Engineering Research Council of CanadaCanada's Oil Sands Innovation Alliance
KeywordsNanofiltrationLayer (electronics)MembraneChemical engineeringMagnesiumSeparation (statistics)Materials scienceLithium (medication)Layer by layerChemistryNanotechnologyMetallurgyComputer scienceEngineering

Abstract

fetched live from OpenAlex

The main challenge of lithium (Li + ) extraction in salt-lake brine arises from the high magnesium (Mg 2+ ) to Li + mass ratio, further complicated by the similar chemical properties of Mg 2+ and Li + . To achieve effective separation of Li + from Mg 2+ , we developed novel nanofiltration (NF) membranes using a rapid layer-by-layer (LbL) assembly technique. Branched polyethyleneimine (PEI) as the polycation and lignosulfonate (LS) as the polyanion were sequentially sprayed over a polyamide-imide (PAI) substrate. Filtration of single salt (MgCl 2 and LiCl) and mixed salt solution revealed that double-layer polyelectrolyte coating resulted in optimal permselectivity. In a binary feed solution with Mg 2+ /Li + mass ratio of 20 and a concentration of 1000 ppm, the modified membrane rejected 80 % of Mg 2+ and 6 % of Li + , achieving a selectivity factor of 4.7 while maintaining a high permeate flux of 60 LMH. Our findings show that the interconnected polyelectrolyte network regulates the pore size of the modified membrane and enhances steric hindrance, significantly improving lithium and magnesium separation efficiency. Additionally, the internal positive charge, resulting from the dissociation of the PEI layer, further increases the membrane’s positive charge and enhances ion selectivity. In addition, the LbL modification significantly reduced the Mg 2+ /Li + ratio in the permeate from 20 in the feed to 6.5 and 8.7 in the permeate when using 1000 and 5000 ppm feed solutions, respectively. Long-term filtration over 24 h demonstrated consistent rejection for both cations. Moreover, utilizing LS improved the membrane antifouling characteristics, resulting in a 30 % reduction in flux decline. • A rapid, eco-friendly spray-assisted layer-by-layer method was used to fabricate lithium-selective NF membranes. • Mg²⁺/Li⁺ separation was achieved with a SF of 4.7 using double-layer polyelectrolyte NF membranes. • A high permeate flux of 60 LMH was obtained while rejecting 80 % Mg²⁺ and 6 % Li⁺ from a binary salt solution. • Lignosulfonate (LS) incorporation reduced fouling, achieving a 30 % reduction in FDR during long-term filtration. • Lower fabrication time and waste generation were achieved compared to conventional NF membranes, enhancing scalability.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.250
Threshold uncertainty score0.728

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.004
GPT teacher head0.219
Teacher spread0.215 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it