Optical properties and chemical composition of hemp oil
Bibliographic record
Abstract
Cold-pressed Hemp oil, obtained from the Cannabis sativa plant, contains many beneficial bioactive substances. This study aims to investigate the fatty acid composition and optical properties of hemp oil, which is used as a base oil for pharmaceutical applications. To realize the set goals, gas-chromatographic methods, fluorescence spectroscopy, and spectroscopy in the visible range were applied. Unsaturated fatty acids predominate in the sample, while the saturated ones are only 9.67%. Of the monounsaturated fatty acids, oleic acid predominates at 24.02%. Of the polyunsaturated fatty acids, linolenic acid predominates at 53.25%. Sterols and vitamin E are 1.75% and 0.5%, respectively. The colorimetric characteristics were determined in the CIELab colorimetric system. The sample is relatively light for hemp oil, with a predominant yellow component and a weak red hue. Low lightness and a hue angle close to 90 degrees characterized the oil. The fluorescence emission spectrum shows, for an excitation wavelength of 320 nm, three distinct emission regions: a peak in the 400–473 nm region; a second peak in the 500–520 nm region; and a third peak in the 670–760 nm region.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 teacher head, 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".