Trihydroxyflavones from<i>Scutellaria baicalensis</i>: Separation by a Facile MEKC Technique and Comparison to an Analytical HPLC Method
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Bibliographic record
Abstract
Abstract Phenolic were extracted from the roots of Scutellaria baicalensis Georgi (Labiatae) using methanol. The phenolics of the crude extract were examined by high‐performance liquid chromatography (HPLC) using an analytical C18 column coupled with ultraviolet‐diode array detection (UV‐DAD). Chromatograms were compared with those acquired by micellar electrokinetic chromatography (MEKC) with UV‐DAD. A good separation of the phenolics from the crude extract was achieved by the electrophoretic technique, and in a shorter time than by HPLC. Two dominant flavones, believed to be 5,6,7‐trihydroxyflavone and 5,6,7‐trihydroxyflavone‐7‐O‐β‐D‐glucopyranosiduronate, which are commonly referred to as baicalein and baicalin, respectively, were then isolated from the crude extract using a semi‐preparative HPLC method on a RP‐18 column. The identities of the separated trihydroxyflavones were confirmed by NMR spectroscopies and mass spectrometry as being baicalein (1) and baicalin (2). The employment of MEKC coupled with UV‐DAD as a technique to separate and to identify phenolic compounds, or their classes in natural products research, is expected to expand over the next decade.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| 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 it