Determination of 11 Fat-soluble Vitamins( A,D,E,K) and Their Derivatives in Vitamin Tablets by Ultra Performance Convergence Chromatography
Bibliographic record
Abstract
A new method was developed for the determination of 11 fat-soluble vitamins( A,D,E and K)and its derivatives in vitamin tablets by ultra performance convergence chromatography( UPC2). The mobile phase was the mixture of supercritical CO2 and acetonitrile at a flow rate of 1 m L / min. The separation was carried out on the Waters Acquity UPC2 HSS C18SB 100 mm × 3. 0 mm i. d.,1. 8 μm column. The UV detector was set at a wavelength of 284 nm. The limits of detection( LOD) were 1. 5- 2. 0 mg / L,and the calibration linear for VK1,VK2,VK3 and VB3was 3- 300 mg / L,linear for VA,VA palmitate,VA formic acid,VE,VE acetate,VD2 and VD3was 5- 300 mg / L,respectively. Its spiked recoveries were 97. 31%-98. 76%,and the relative standard deviations( RSDs) were 0. 41%- 0. 96%. The method is applicable for the determination of fat-soluble vitamins( A,D,E and K) and Their derivatives in vitamin tablets.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".