Ultrasonic degradation of mulberry twigs polysaccharides: Effect on in vitro hypoglycemic activity and prebiotic potential
Bibliographic record
Abstract
This study aimed to enhance the in vitro hypoglycemic activity of mulberry twigs polysaccharides (MTP) through ultrasonic degradation and to elucidate its underlying mechanisms and prebiotic potential. The results demonstrated that ultrasonic degradation effectively increased its inhibitory activity against α-glucosidase. Structural characterization of MTP revealed that ultrasonic degradation significantly decreasing its molecular weight and monosaccharide composition. Mechanistic studies indicated that the inhibition of α-glucosidase by the degraded product MTP-240 was reversible and followed a single static quenching process. In vitro fermentation assays revealed that MTP-240 promoted the production of short-chain fatty acids (SCFAs), surpassing the inulin control, with pentanoic acid accumulating most substantially. Additionally, MTP-240 enhanced the growth of Bifidobacterium, a beneficial gut bacterium associated with improved glucose levels and antioxidant capacity. These findings suggested that ultrasonic degradation was an effective method for enhancing the glycosidase inhibitory activity of polysaccharides, and the degraded MTP possesses the potential to be developed as a food additive with dual functions of glycosidase inhibition and prebiotic activity. This research provides a theoretical basis for the further development of mulberry resources and related functional foods.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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 | 0.000 |
| 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".