An in vitro Method to Determine Intestinal Bioavailability of Glucosamine Salt Mixture
Bibliographic record
Abstract
Glucosamine is an amino sugar commonly used to improve joint health. It is often available for consumers as specialized supplements, the matrixes of which are formulated with components that facilitate enhancing functionality of the bioactive glucosamine. The primary objective of this study was to determine the in vitro bioaccessibility and bioavailability of a commercial glucosamine sulphate supplement, formulated with a mineral clay mixture. We used a modified a 3-step in vitro digestion procedure that included oral, gastric, and gastrointestinal digestions to assess bioaccessibility. Bioavailability followed using a Caco2 cell permeability test. Glucosamine bioaccessibility was not affected by gastric digestion and only marginally affected by gastrointestinal digestion (e.g., > 90% recovery). Bioavailability was dramatically lower, averaging approximately 15%, but similar for both the glucosamine reference standard and clay mineral mix glucosamine formulated product. Our in vitro bioavailability measurement of glucosamine, corrected for bioaccessibility, agree with values from in vitro rodent models. We conclude that the in vitro 3-step digestion of glucosamine, used to mimic gastrointestinal digestion, followed by the Caco2 permeability assay represents an alternative method to assess digestibility and bioavailability of formulated glucosamine products. Keywords: Glucosamine; Clay Mineral Mix; Bioaccessibility; Bioavailability
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".