A RAPID HPLC METHOD FOR DETERMINATION OF MAJOR PHENOLIC ACIDS IN PLANT MATERIAL
Bibliographic record
Abstract
The present work describes a simplified, and rapid HPLC method for measurement of phenolic acids in plant material. This procedure allows baseline resolution of major phenolic acids commonly found in plants (p-hydroxybenzoic, caffeic, syringic, o-coumaric, m-coumaric, p-coumaric, gentisic, ferulic, sinapic, salicylic), it is specific, sensitive, and ensures good reproducibility. The precision and reproducibility obtained using the present approach gave results comparable or better than the more complex, more laborious, and time consuming procedures. The time of HPLC separation of the phenolic acids in the presented procedure was significantly improved by the use of polymer based reverse phase column (PRP-1 column; 4.1 〈 150 mm, 5 µm; Hamilton), and careful attention to the pH of the mobile phase, which allowed turnaround times of approximately 15 min and significantly lower solvent use. The present method allows the possibility for processing of a large number of samples rapidly, efficiently, and at a low cost.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.002 | 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 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.004 |
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".