Vibrational absorption, vibrational circular dichroism, and theoretical studies of methyl lactate self-aggregation and methyl lactate-methanol intermolecular interactions
Bibliographic record
Abstract
The infrared vibrational absorption (VA) and vibrational circular dichroism (VCD) spectra of methyl lactate in carbon tetrachloride and methanol have been measured in the 1000-1800 cm(-1) region. Noticeable changes due to the solute self-aggregation and solvent-solute intermolecular hydrogen-bonding interactions have been detected in the reported spectra of the 2M methyl lactate solution in CCl(4) and in methanol, respectively. Molecular dynamics simulations and a series of density functional theory (DFT) B3LYP/6-311++G(**)) and single point MP2/6-311++G(**) energy calculations have been performed to identify and to model the explicit hydrogen-bonding interactions between the methanol solvent and the methyl lactate solute and among the methyl lactate molecules. Geometry search and optimization have been performed for the most stable conformers of the methyl lactate dimer and the methyl lactate-(methanol)(N) clusters, with N=1, 2, and 3. The relative single point MP2 energies among conformers are noticeably different from those obtained with DFT for the larger methyl lactate-methanol complexes. The VA and VCD spectra of these complexes have been simulated and compared to the corresponding experimental spectra. From the combined experimental and theoretical VA and VCD studies, it has been identified that both the methyl lactate monomer and dimer are the main species in the 2M CCl(4) solution with 65% and 35% relative abundances, respectively, while the binary (55%) and quaternary (30%) methyl lactate-methanol clusters dominate in the 2M methanol solution, together with a smaller amount (15%) of the methyl lactate monomer. The effects of solute self-aggregation and solute-solvent interactions have been investigated in detail.
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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".