The effects of self-aggregation on the vibrational circular dichroism and optical rotation measurements of glycidol
Bibliographic record
Abstract
The noncovalent interactions between glycidol molecules in the CDCl3 solvent have been studied by means of vibrational absorption (VA), vibrational circular dichroism (VCD), optical rotation (OR) spectroscopy and density functional theory (DFT) calculations. The concentration dependence of the VA and VCD spectra and OR measurements at five excitation wavelengths, i.e. 589, 578, 546, 436 and 365 nm, has been reported. To model the effects of self-aggregation of glycidol on the measurements, the energetic and conformational properties of the glycidol monomer, dimer and trimer were evaluated and the corresponding VA, VCD and OR spectra were simulated. The results show that at 0.2 M or lower concentrations the self-aggregation of glycidol is negligible since the simulated VA and VCD spectra, with the contribution from only the monomeric glycidol conformers, reproduce well the features in the experimental spectra. At 3.5 M, the binary conformers dominate, while at the intermediate concentration of 1.1 M, both the monomeric and binary conformers are important. The comparison of the experimental and theoretical OR values supports the above conclusions. This work shows the potential of using multiple chiroptical spectroscopic methods in combination with theoretical calculations to probe the self-aggregation process of chiral molecules in solution. Such studies can in turn help to achieve reliably absolute configuration determinations in the cases when chiral molecules self-aggregate profusely.
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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".