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Record W2315487439 · doi:10.1021/ie300358c

<sup>13</sup>C NMR Spectroscopy of a Novel Amine Species in the DEAB–CO<sub>2</sub>–H<sub>2</sub>O system: VLE Model

2012· article· en· W2315487439 on OpenAlexaff
Huancong Shi, Teerawat Sema, Abdulaziz Naami, Zhiwu Liang, Raphael Idem, Paitoon Tontiwachwuthikul

Bibliographic record

VenueIndustrial & Engineering Chemistry Research · 2012
Typearticle
Languageen
FieldEngineering
TopicCarbon Dioxide Capture Technologies
Canadian institutionsUniversity of Regina
Fundersnot available
KeywordsChemistryDiethylamineAmine gas treatingProtonationDissociation (chemistry)Analytical Chemistry (journal)BicarbonateCarbonate IonSpectroscopyNuclear magnetic resonance spectroscopyPhysical chemistryIonInorganic chemistryOrganic chemistry

Abstract

fetched live from OpenAlex

In the present work, ion speciation studies in solutions of the novel amine 4-(diethylamine)-2-butanol (DEAB), at various CO 2 loadings (0–0.8 mol of CO 2 /mol of amine) and amine concentrations (0.52–1.97 M), were determined by 13 C nuclear magnetic resonance (NMR) spectroscopy. In addition, the dissociation constant K of DEABH + was determined at 24.5, 35, and 45 °C using a pH meter. The ion speciation plot, which contains various sets of concentrations of DEAB, protonated DEAB, bicarbonate, and carbonate, was successfully generated. Because DEAB is a novel solvent, this is the first time that the ion speciation plots of the DEAB–CO 2 –H 2 O system have been developed. It is also the first time that the 13 C NMR calibration technique was applied to develop the vapor–liquid equilibrium (VLE) model for an amine–CO 2 –H 2 O system. The results obtained from the present work can be a great help for the further analysis of the DEAB VLE model, as well as CO 2 absorption and kinetics studies. Furthermore, it was found that the novel 13 C NMR calibration technique developed in this work provides higher accuracy than the conventional technique.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity
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 score0.123
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.003
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 head0.067
GPT teacher head0.280
Teacher spread0.214 · 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.

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

Citations67
Published2012
Admission routes1
Has abstractyes

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