A Quantitative Assay for Fatty Acid Composition of Castor Seed in Different Developmental Stages
Bibliographic record
Abstract
The aim of this study was to detect and investigate the fatty acid composition of castor seed under different development stage using soxhlet extraction and capillary gas chromatography methods to find the dynamic change of fatty acid composition and their relationships. The results showed that oil content and twelve fatty acid compositions were identified in the seed development, while the content of oil and compositions were significantly different and monitored during seed development. Oil content displayed a linear increase from the beginning of seed formation to maturation. Several compositions, mytistic acid, behenic acid and lignoceric acid, were just found at initial seed filling phase and significantly declined with seed maturity, suggesting that fatty acid composition of castor seed in the initial phases of seed formation differed substantially form that of the mature seeds. The correlation analysis results revealed significant positive correlations of seed development time with mostly fatty acids, further demonstrating that the fatty acids were closely correlated with seed development. These obtained results will benefit for breeding research in high oil content of castor.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".