A Green Method for Preparation of Cyanidin-3-glucoside from Carissa carandas Fruits and α-Glucosidase Inhibitory Activity Evaluation
Bibliographic record
Abstract
In this research, a tailored approach for the preparation of a cyanidin-3-glucoside-enriched extract (C3GE) and cyanidin-3-glucoside (C3G) from the fruits of Carissa carandas L. was achieved using a green methodology. The method involved a cold extraction, followed by fractionation processes on a hydrophobic (Diaion® HP-20) column using a hydroethanolic solvent system for column elution. C3GE was produced after the one-step fractionation, while C3G was obtained after the two-step fractionation. Based on an HPLC method, C3GE contained 27.3% w/w of C3G, while C3G was identified via its 1H and 13C NMR data. An in vitro assay for the α-glucosidase inhibitory effect revealed that C3GE and C3G possessed good inhibitory activity against α-glucosidase, with IC50 values of 19.7 and 4.4 µg/mL, respectively, which is better than that of acarbose (IC50 of 395.4 µg/mL). Our findings suggest the potential use of this green extraction method for the production of C3G and C3GE, as well as its application in functional ingredient industries, including nutraceuticals and pharmaceuticals.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 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".