GC- MS Analysis of Chemical Constituents of the Lotus Germ Oil by Different Temperature Treatment
Bibliographic record
Abstract
In order to analyze the changes of the chemical constituents and fragrance quality,this study obtains the essential oil of lotus germ by extracting lotus germ with supercritical carbon dioxide. The experimental is conducted in 120,130,140 and 150 ℃ for 30 min separately. The untreated sample and samples after high temperature processed are analyzed by GC- MS,chromatographic column is 30.0 m×250 μm×0.25 μm,flow rate of carrier gas is 0.9 m L/min,range of scanning is 40~450 amu. The results show that composition difference are significant change with the increase in treatment temperature and a good result of relatively stable odor and chemical constituents is obtained by 120 ℃ processing.
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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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".