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Record W2079573567 · doi:10.1021/ma061920q

Synthesis and SO<sub>2</sub> Absorption/Desorption Properties of Poly(1,1,3,3-tetramethylguanidine acrylate)

2007· article· en· W2079573567 on OpenAlexaff
Dong An, Linbo Wu, Bo‐Geng Li, Shiping Zhu

Bibliographic record

VenueMacromolecules · 2007
Typearticle
Languageen
FieldChemical Engineering
TopicIonic liquids properties and applications
Canadian institutionsMcMaster University
Fundersnot available
KeywordsDesorptionAcrylateChemistryPolymerAcrylic acidAbsorption (acoustics)PolymerizationAdsorptionMonomerAbsorption capacityPolymer chemistryChemical engineeringOrganic chemistryMaterials science

Abstract

fetched live from OpenAlex

A novel ionic polymer, poly(1,1,3,3-tetramethylguanidine acrylate) (PTMGA), was synthesized, and its SO 2 absorption and desorption properties were studied for the first time. 1,1,3,3-Tetramethylguanidine acrylate, a polymerizable ionic liquid (IL), was first prepared via neutralization of 1,1,3,3-tetramethylguanidine and acrylic acid. PTMGA was then synthesized via free radical polymerization of TMGA. The polymer adsorbed SO 2 with high selectivity, capacity, and rate. The absorption capacity and rate of PTMGA were significantly higher than the monomer. The SO 2 absorbed at a relatively low temperature was effectively desorbed at higher temperatures and/or under vacuum. The absorption/desorption process could be repeatedly operated, and thus the polymer was reused. Under a typical operation condition, about 0.3 g of SO 2 per gram of polymer was separated in each cycle. The PTMGA material showed a good potential as solid-state SO 2 absorbent for applications in purification of SO 2 -containing gas such as fuel gas desulfurization.

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 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 score0.028
Threshold uncertainty score0.635

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 communication0.0000.000
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 head0.013
GPT teacher head0.213
Teacher spread0.201 · 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

Citations64
Published2007
Admission routes1
Has abstractyes

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