Bibliographic record
Abstract
Background : Spiraea prunifolia var. simpliciflora (Rosaceae) called “Brial wreath” is a deciduous latifoliate shrub that is widely distributed throughout in Northeast Asia. Phytochemical and biological investigation of S. prunifolia have led to the discovery of biologically active compounds. Pharmacological studies revealed that the extract of the root of S. prunifolia possess antioxidant, antipyretic and anti-inflammatory activities. Some chemical constituents such as sterols, phenolics, terpene and fatty acid, as well as ethanolic extracts from the roots of S. prunifolia, have previously been reported to modulate the deleterious effects of diabetes, to prevent high-fat diet-induced obesity, and to prevent cisplatin-induced nephrotoxicity. Our continuing research was carried out to search for other phytochemical constituents from the leavess of S. prunifolia. The chemical structures of compounds were determined by NMR and FAB/MS spectroscopic data interpretation. Methods and Results : Multiple-preparative liquid chromatography (MPLC) purifications were carried out on YMC LC-forte/R instrument (YMC Kyoto, Japan) equipped with YMC-Pack ODS-A columns (ODS gel : 5 ㎛, 10 ㎜ × 250 ㎜). High-performance liquid chromatography (HPLC) was performed on Agilent Technologies instrument (Aglient Tec., Santa clara, CA, USA) equipped with YMC–Pack Pro C18 columns (ODS gel : 5 ㎛, 4.6 ㎜ × 250 ㎜). Next, quantitative analysis was carried out on UPLC-QqQ/MS 3200 Q-TRAP instrument (AB SCIEX Toronto, Canada) using a ACQUITY UPLC (waters corp.) with an ACQUITY BEH C18 column (2.1 ㎜ × 100 ㎜, 1.7 ㎛). The metabolite samples was applied to preparative reversed-phase HPLC and UPLC using gradient method, solvent A [water + 0.1% formic acid (v/v)] and solvent B [acetonitrile + 0.1% formic acid (v/v)]. Conclusion : In this study, we isolated the major metabolites from the stem of Spiraea prunifolia var. simpliciflora by using MPLC and HPLC. UPLC-QqQ/MS was also used to quantify target compounds. Finally, we established methodology and performed the quantitative analysis on target compounds from the stem of Spiraea prunifolia var. simpliciflora.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.023 | 0.009 |
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".