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Record W4399364303 · doi:10.1021/acs.iecr.4c00341

Thermo- and CO<sub>2</sub>-Responsive Copolymers for Forward Osmosis Applications

2024· article· en· W4399364303 on OpenAlexaff
Jan Frauholz, Michael F. Cunningham, Philip G. Jessop

Bibliographic record

VenueIndustrial & Engineering Chemistry Research · 2024
Typearticle
Languageen
FieldEnvironmental Science
TopicMembrane Separation Technologies
Canadian institutionsQueen's University
FundersInnovationsfonden
KeywordsCopolymerForward osmosisChemical engineeringComputer scienceChemistryMaterials scienceProcess engineeringMembraneReverse osmosisOrganic chemistryPolymerEngineering

Abstract

fetched live from OpenAlex

Low-molecular-weight statistical copolymers of dimethylallylamine (DMAAm) and vinylmethylamine (VMAm) were synthesized to obtain draw solutes for forward osmosis, which respond to both heat and CO 2 . Dual responsive draw solutions benefit from the synergy of two triggers: CO 2 controls the osmotic pressure, while temperature changes control solubility to facilitate draw agent recovery. In this study, molar ratios of both monomers in the copolymer were varied to investigate the influence of the hydrophilic unit VMAm on the properties of the copolymer. The molecular weights, cloud points, osmotic pressures, and viscosities of the tailor-made draw solutes were determined. The incorporation of VMAm shifts the cloud points to higher temperatures and increases the osmotic pressure of aqueous copolymer solutions up to 199 bar. Forward osmosis experiments confirmed the applicability of the synthesized copolymer as draw solute achieving a water flux of 6.7 Lm 2– h –1, which is a 2-fold increase in flux compared to solely thermoresponsive polypropylene glycol-based polymers.

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)0.001
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 score0.048
Threshold uncertainty score0.582

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.052
GPT teacher head0.331
Teacher spread0.279 · 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; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations4
Published2024
Admission routes1
Has abstractyes

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