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Record W2027786522 · doi:10.1021/ie801165u

Preparation and SO<sub>2</sub> Sorption/Desorption Behavior of an Ionic Liquid Supported on Porous Silica Particles

2009· article· en· W2027786522 on OpenAlexaff
Zhengmin Zhang, Linbo Wu, Jie Dong, Bo‐Geng Li, Shiping Zhu

Bibliographic record

VenueIndustrial & Engineering Chemistry Research · 2009
Typearticle
Languageen
FieldChemical Engineering
TopicIonic liquids properties and applications
Canadian institutionsMcMaster University
FundersZhejiang UniversityNational Natural Science Foundation of China
KeywordsSorptionSorbentDesorptionFlue-gas desulfurizationPorosityIonic liquidChemical engineeringThermal stabilityIonic strengthVaporizationAdsorptionChemistryChromatographyMaterials scienceOrganic chemistryAqueous solutionCatalysis

Abstract

fetched live from OpenAlex

The ionic liquid 1,1,3,3-tetramethylguanidinium lactate (TMGL) was supported onto porous silica particles via a facile impregnation−vaporization method. The TMGL-supported particles gave high porosity and large specific surface area. The SO 2 sorption/desorption properties of the silica-supported TMGL (TMGL−SiO 2 ) were evaluated, and high SO 2 sorption capacity and rate were achieved. Its capacity reached 0.6 g SO 2 /g TMGL in 15−30 min with pure SO 2 gas and 0.15 g SO 2 /g TMGL in 17 h with a N 2 /SO 2 mixture gas that contained 2160 ppm SO 2 . The SO 2 concentration was reduced to 12.6 ppm after sorption. The TMGL−SiO 2 system could be reused for many sorption/desorption cycles without change in its capacity. It was also characterized by good mechanical strength and thermal stability at temperature up to 130 °C. The SO 2 sorbent system appears to be useful in 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)0.001
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 score0.018
Threshold uncertainty score0.803

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.056
GPT teacher head0.326
Teacher spread0.270 · 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

Citations104
Published2009
Admission routes1
Has abstractyes

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