Prospects of Using Room-Temperature Ionic Liquids as Corrosion Inhibitors in Aqueous Ethanolamine-Based CO<sub>2</sub> Capture Solvents
Bibliographic record
Abstract
Corrosion is one of the major concerns being encountered in aqueous alkanolamine-based CO 2 capture processes. The present work examines the capability of thermally stable and virtually nonvolatile room-temperature ionic liquids (RTILs) to curb corrosion in aqueous monoethanolamine solvents. Four imidazolium-based RTILs with ethyl side chains were chosen for this purpose: [emim][Otf], [emim][DCA], [emim][acetate], and [emim][tosylate]. Carbon steel 1020 has been used as a test material, since it is widely used as construction material in industrial installations. Electrochemical corrosion experiments were carried out using the linear polarization resistance (LPR) technique for measuring corrosion current thus enabling subsequent calculation of corrosion rate via the Tafel fit method. The outcomes illustrate that, out of the tested ionic liquids, [emim][acetate] is the most capable of rectifying the severe operational problem of corrosion in alkanolamine-based state-of-the-art CO 2 capture systems.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".