Preparation of New Azo Dye Derived of Pharmaceutical Substances (Procaine and Vitamin B6) and Theoretically Studied as a Carbon Steel Corrosion Inhibitor
Bibliographic record
Abstract
The amine drug procaine hydrochloride is employed in the preparation of the current azo dye, added to another drug, pyridoxine hydrochloride 2-(diethylamino) ethyl (Z)-4-(5hydroxyl-3,4-bis(hydroxymethyl)-6-methylpyridin-2-yl) benzoate.Chemical diagnosis of the prepared chemical compound was done using infrared technology, and mass spectrometry electron spectra were performed for the prepared compound in terms of its basic and acidic properties, which includes determining the protonation constant and the ionization constant at different pH values (2-12), as well as knowing the number of apparent isopiestic points.To the altar of mindful clarification to achieve the highest moisture of azo dye L (pH 12), several clarifying agents were prepared that gave a pH of 12.The theoretical study results also indicated that the new dye (L2) is not as effective at preventing corrosion in carbon steel as the original azo dye (L1) it comes from.Therefore, it is assumed from the above that the experimental results, if conducted, would need to demonstrate a corrosion inhibition efficiency of the inhibitor (L2) that exceeds the value of the inhibitor inhibition efficiency (L1), as predicted by the theoretical results in the computational chemistry program.
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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 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".