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Applications of Pore-Expanded Mesoporous Silica. 2. Development of a High-Capacity, Water-Tolerant Adsorbent for CO<sub>2</sub>

2005· article· en· 393 citations· W2021156719 on OpenAlex· 10.1021/ie0504194

Why is this work in the frame?

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

Canadian affiliationAn author listed a Canadian institution. This is the only route the usual frame has.
Canadian funderA Canadian agency funded it. The work may carry no Canadian affiliation at all.

Full frame distilled prediction

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.

Candidate categories
Meta-epidemiology (narrow)
Consensus categories
none
Domain
Candidate signal: noneConsensus signal: none
Study design
Candidate signal: Bench or experimentalConsensus signal: Bench or experimental
Genre
Candidate signal: EmpiricalConsensus signal: Empirical
Teacher disagreement score
0.025
Threshold uncertainty score
1.000
Validation status
machine_predicted_unvalidated · codex-gemma-dda1882f352a

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 science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

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

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.

Opus teacher head0.046
GPT teacher head0.282
Teacher spread
0.236 · how far apart the two teachers sit on this one work
Validation status
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Abstract

A novel high-capacity, water-tolerant adsorbent for CO 2 was developed. It consisted of diethanolamine (DEA) loaded pore-expanded MCM-41 silica (PE-MCM-41). Due to its very large pore volume, PE-MCM-41 silica was capable of accommodating a greater quantity of amine resulting in higher CO 2 adsorption capacity compared to the other supports including activated carbon, silica gel, and standard MCM-41 silica. Adsorption measurements were conducted by gravimetry using dry CO 2 to obtain uptake curves and apparent rate data. The capacity and uptake rate reached maxima with respect to amine content and then declined due to the deposition of excess amine on the particle's external surface and within the interparticle voids. At CO 2 partial pressures below 0.15 atm, the current DEA loaded PE-MCM-41 adsorbent was found to be superior to the more conventional zeolite 13X. Adsorption studies with humid CO 2 revealed that the adsorption capacity of the PE-MCM-41-based material was insensitive to the presence of moisture, which represents a major advantage over zeolite 13X. Repeated adsorption−desorption cycles revealed that our novel adsorbent exhibited good cyclic stability.

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.

The record

Venue
Industrial & Engineering Chemistry Research
Topic
Carbon Dioxide Capture Technologies
Field
Engineering
Canadian institutions
University of Ottawa
Funders
Canada Research ChairsGovernment of Canada
Keywords
AdsorptionChemical engineeringZeoliteMCM-41DiethanolamineDesorptionMesoporous silicaMesoporous materialMaterials scienceAmine gas treatingMolecular sieveActivated carbonChromatographyChemistryOrganic chemistryCatalysis
Has abstract in OpenAlex
yes