Interaction of Metal Cations with Alkylnitriles in the Gas Phase: Solvation of Metal Ions by the Hydrocarbon Chain
Bibliographic record
Abstract
Relative affinity measurements of monovalent metal ions (M = Li(+), Na(+), Cu(+)and Ag(+)) toward aliphatic nitriles have been performed using the kinetic method by dissociation of metal bound dimer ions of the type R1C≡N-M(+)-N≡CR(2). It is found, particularly for Cu(+) and Ag(+), that the affinity towards nitriles having long chains (>C(6)) is markedly enhanced. This is attributed to a bidentate interaction of the metal ion with the nitrile moiety and the aliphatic chain. Theoretical calculations on the copper complexes show that these bidentate structures enjoy about 30% greater copper ion affinities compared to their linear counterparts. Such aliphatic interactions also play a major role in the dissociation chemistry of copper bound tetramers of the kind (RC≡N)(4)Cu(2+∙) where the long aliphatic chain R curls around the copper ion to facilitate electron transfer or a redox reaction to produce (RC≡N)(2)Cu(+) + RC≡N(+∙) + RC≡N.
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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) | 0.001 | 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".