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Record W4401330386 · doi:10.1021/acsapm.4c00958

Sustainable Osmotic-Driven Clean Water Recovery through Thermoresponsive Polymer Hydrogels with a Selective Polyamide Coating

2024· article· en· W4401330386 on OpenAlexafffund
Madeline Tuai, Pooria Karami, Aria Khalili, Muhammad Amirul Isalm, Jae‐Young Cho, Michael J. Serpe, Mohtada Sadrzadeh

Bibliographic record

VenueACS Applied Polymer Materials · 2024
Typearticle
Languageen
FieldEnvironmental Science
TopicMembrane Separation Technologies
Canadian institutionsNational Research Council CanadaNational Institute for NanotechnologyUniversity of Alberta
FundersNatural Sciences and Engineering Research Council of CanadaCanada's Oil Sands Innovation Alliance
KeywordsSelf-healing hydrogelsCoatingPolyamidePolymerChemical engineeringMaterials scienceChemistryPolymer chemistryNanotechnologyComposite material

Abstract

fetched live from OpenAlex

This study introduces a water treatment system utilizing a poly( N -isopropylacrylamide) PNIPAM hydrogel as a support material, coated with a polyamide (PA) selective layer, for water treatment and sample concentration applications. The thermoresponsive nature of the PNIPAM hydrogel enables efficient water recovery through heat-induced deswelling, with a consistent performance observed over multiple swelling/deswelling cycles. The resistance of the PA coating to multiple cycles of swelling and deswelling is explored, revealing that the PA films composed of 0.4 wt % trimesoyl chloride (TMC) retained their rejection performance even after repeated heat-induced deswelling, an essential feature for long-term usability. The selectivity of the optimized PA/1-0.4 sample (composed of 1 wt % MPD and 0.4 wt % TMC) is evaluated against various aqueous salts, demonstrating the effective rejection of both divalent and monovalent ions. This development enhances the sustainability of water treatment and sample concentration processes, holding great promise for a range of environmental and analytical applications.

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.

How this classification was reachedexpand

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
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 score0.009
Threshold uncertainty score1.000

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)0.0040.002

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 head0.008
GPT teacher head0.222
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

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations3
Published2024
Admission routes2
Has abstractyes

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