Extraction and characterization of sodium alginate from Moroccan Laminaria digitata brown seaweed
Bibliographic record
Abstract
Sodium alginate from Moroccan Laminaria digitata brown seaweed were extracted under different conditions. The extraction yield was affected by the extraction temperature and the samples’ size. Alginates were purified by re-precipitation with ethanol and characterized by 1 H NMR, fluorescence spectroscopy and infrared spectroscopy, in order to determine their structural and physicochemical properties. Viscosimetric measurements gave an intrinsic viscosity of 2.542 dL/g which permits to calculate the average molar mass value (1.14 × 10 5 g/mol). By analyzing 1 H NMR spectra, Moroccan L. digitata alginates showed a high quantity of both homopolymeric mannoronic and guluronic blocks ( F MM = 0.47) and ( F GG = 0.41) respectively, while the alternating block fractions ( F MG = 0.06 and F GM = 0.06) showed low values than those previously described in the literature. The M / G ratio value is 1.12 allowing the preparation of alginates suitable to form soft and elastic gels more than brittle ones. The characteristics obtained for Moroccan Laminaria digitata may be useful to obtain polyelectrolyte complexes for the production of drug delivery micro- and nanoparticles. In some cases, a charged polysaccharide with low viscosity is needed.
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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".