Production of vitamin B1 microparticles by a spray drying process using different biopolymers as wall materials
Bibliographic record
Abstract
Abstract The aim of this work was to microencapsulate vitamin B1 by spray‐drying using different encapsulating agents (arabic gum, carrageenan, chitosan, maltodextrin, modified chitosan, modified starch, pectin, sodium alginate, and xanthan) and to characterize the microcapsules and study their release. Microcapsules with a 0.25% (w/w) content of vitamin B1 were produced. The product yield results ranged from 17%‐52% and the encapsulation efficiency from 66%‐100%. Three categories of morphology, regular spherical shape, irregular spherical shape with rough surface, and irregular shape, were identified. Their sizes, determined by laser granulometry, ranged from 0.11‐1.32 μm, in terms of number distribution, and from 3.76‐34.43 μm, in volume distribution. Controlled release studies were performed by spectrophotometric analysis, in deionized water (20°C) and simulated gastric fluid (37°C). Different release behaviours were observed from just 10 seconds (modified starch) up to more than 24 hours (xanthan). Kinetic models such as zero‐order, first‐order, Higuchi, Korsmeyer‐Peppas, and Weibull were applied. The Weibull model showed the best fitting with the experimental data. All release tests were repeated after 4 months and showed good stability over time. A mass loss of vitamin B1 lower than 20% was detected. This study demonstrates the possibility of encapsulating vitamin B1 using different encapsulating agents by a spray‐drying technique. Depending on the intended applications, for fast release, adequate results were obtained for maltodextrin, arabic gum, modified chitosan, and sodium alginate, and for slow release, adequate results were only obtained for chitosan and pectin.
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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) | 0.000 | 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 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".