Microencapsulation of fermented wild blueberry to improve the stability of (poly)phenols
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
• Wild blueberry bioactives have poor stability and bioaccessibility. • Microbial fermentation enhanced bioactive constituents of wild blueberries • Controversial maltodextrin partially replaced with inulin in bioactive microencapsulation • Novel microencapsulation enhanced the stability of bioactive constituents • Dual fermentation and microencapsulation generated novel functional food ingredients Dual fermentation augments the diversity and efficacy of wild blueberry bioactives, while microencapsulation ensures their stability and marketability. Here, we have subsequently fermented wild blueberries using Saccharomyces cerevisiae and Komagataeibacter spp. and microencapsulated the end products using different prebiotic fibers and plant proteins as alternatives to controversial maltodextrin. Biotransformation generated health-promoting postbiotics including (poly)phenol metabolites and short-chain fatty acids. The microparticle formulation comprising inulin and maltodextrin (1:1 w/w) exhibited desirable properties similar to conventional microencapsulation products including moisture content (6.07 ± 1.3%), hygroscopicity (7.11 ± 0.4%), particle size (36.9 ± 12 μm), encapsulation efficiency (76.7 ± 3%), and loading capacity (0.348 ± 0.08%). The novel microparticles displayed robust stability under UV light exposure and storage at 4, 20, and 35 °C compared to non-encapsulated fermented wild blueberries. In conclusion, dual fermentation and prebiotic inulin-based microencapsulation pave the way for innovative, safe, and potentially health-enhancing novel food ingredients.
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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 | 0.000 |
| 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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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