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Record W2319972000 · doi:10.1021/ie5050023

Determination of Vapor–Liquid Equilibrium (VLE) Plots of 1-Dimethylamino-2-propanol Solutions Using the pH Method

2015· article· en· W2319972000 on OpenAlexaff
Helei Liu, Xiao Luo, Zhiwu Liang, Paitoon Tontiwachwuthikul

Bibliographic record

VenueIndustrial & Engineering Chemistry Research · 2015
Typearticle
Languageen
FieldEngineering
TopicCarbon Dioxide Capture Technologies
Canadian institutionsUniversity of Regina
FundersMinistry of Science and Technology of the People's Republic of ChinaMinistry of Education of the People's Republic of ChinaNational Natural Science Foundation of China
KeywordsChemistryAmine gas treatingPropanol1-PropanolThermodynamicsIonWork (physics)Atmospheric temperature rangeVapor–liquid equilibriumAnalytical Chemistry (journal)ChromatographyOrganic chemistryMethanol

Abstract

fetched live from OpenAlex

In this work, the pH values of 1-dimethylamino-2-propanol (1DMA2P) solution were measured over a CO 2 loading range of 0–0.8 mol CO 2 /mol amine, 1DMA2P concentration range of 1.5–4.0 mol/L, and a temperature range of 298–303 K. Two-dimensional (2D) vapor–liquid equilibrium (VLE) plots of the 1DMA2P–H 2 O–CO 2 system were established by calculating ion concentrations in the 1DMA2P solution using the pH method. A three-dimensional (3D) VLE surface representing the concentrations of ions in the 1DMA2P solution was also obtained. In addition, equations were generated and used to predict CO 2 loading in 1DMA2P solution, based on knowledge of amine concentration, temperature, and pH of the solution. The results showed that these equations performed very well in predicting the CO 2 loading of a 1DMA2P solution, with an absolute average deviation (AAD) of 9.2%.

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)0.003
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 score0.043
Threshold uncertainty score0.872

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.003
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 science0.0010.000
Research integrity0.0010.001
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 head0.218
GPT teacher head0.364
Teacher spread0.146 · 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

Citations27
Published2015
Admission routes1
Has abstractyes

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