Study on Quality Control Standard of Intermediate Products of Xingshen Nasal Drops by GC-MS
Bibliographic record
Abstract
Objective: To establish the quality control standards of two intermediate products of Xingshen Nasal Drops:musk aromatic water and volatile oil of Acorus tatarinowii Schott so that the content of main components and composition of the different batches of ultimate products remained stable.Methods: The content limit of muskone of musk aromatic water was ascertained by GC-MS. And the characteristic finger print of volatile oil of Acorus tatarinowii Schott was established. Results: The content of muskone of musk aromatic water should be controlled at the range of 0.166～0.202mg/mL. RSD of muskone content of 3 batches of ultimate products was 4.49%, not larger than 10%. The characteristic finger point of volatile oil of Acorus tatarinowii Schott was composed of 6 main component peaks: Methyleugenol, cis-Methylisoeugenol, trans-Methylisoeugenol, Elemicin, β-Asarone and α-Asarone. This characteristiz finger print could be repeated when the ultimate product was determined. Conclusion: The establishment of quality control standard of intermediate product can raise the product quality of compound preparations. And GC-MS is one of effective determination methods.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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".