Development of an Improved Reverse-Phase High-Performance Liquid Chromatography Method for the Simultaneous Analyses of <i>trans</i>-/<i>cis</i>-Resveratrol, Quercetin, and Emodin in Commercial Resveratrol Supplements
Bibliographic record
Abstract
The objectives of the study were to develop a reverse-phase high-performance liquid chromatography method for the simultaneous analyses of trans-/cis-resveratrol, emodin, and quercetin and to determine the concentrations of these polyphenols in 28 resveratrol supplements. Samples were separated within 15 min in a C18 reversed-phase column using mobile phases containing 0.1% formic acid and methanol/0.1% formic acid. The calibration graphs for all four compounds were linear from 0.1 to 410 μg/mL (r2=0.99). The concentration of resveratrol as stated on the labels was often different from the analytical results, with 21 and 11% of the total supplements having low or high values, respectively. Many of the supplements also contained variable but generally low levels of emodin, a compound known to cause diarrhea. The proposed method is a rapid, sensitive, accurate, and cost-effective procedure that can be used for the simultaneous quantification of four polyphenols in resveratrol supplements.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 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".