The rich conformational landscape of perillyl alcohol revealed by broadband rotational spectroscopy and theoretical modelling
Bibliographic record
Abstract
The rotational spectrum of perillyl alcohol, a naturally occurring, chiral, dietary monoterpene, was investigated using a chirped pulse Fourier transform microwave spectrometer and a cavity-based Fourier transform microwave spectrometer. To aid the assignment of the dense chirped pulse spectrum obtained, extensive theoretical conformational searches were carried out. In one approach, several one and two-dimensional scans along three dihedral angles associated with the rotational motions of the -OH, -CH2OH, and -C(CH2)CH3 groups were performed. These scans, combined with the equatorial and axial positions of the -C(CH2)CH3 group, resulted in 54 conformers. The same conformers were identified in the second approach where a semi-classical conformational search code was used. The relative stabilities of the conformers and the interconversion barriers among them were explored extensively at the DFT B3LYP-D3(BJ)/def2-TZVP and B3LYP-D3(BJ)/6-311++G(2d,p), as well as local MP2/aug-cc-pVQZ levels of theory, and 12 conformers were ultimately identified as possibly observable candidates in a molecular jet expansion. Rotational spectra of eight out of the 12 candidates were observed experimentally and analyzed. The non-observation of the remaining four conformers may be attributed to their low abundances. The study points out the importance of identifying all conformers of relevant abundance, even those which could not be detected experimentally, in order to properly benchmark the theoretical relative stabilities with the experimental ones. A comprehensive study of the conformational distribution of perillyl alcohol contributes to our understanding of its structural properties which may influence its functions.
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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) | 0.002 | 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".