Composition en acides aminés libres et combinés et en vitamines de la microalgue Micractinium pusillum Fres. issue d'un lagunage naturel Free and combined amino acids and vitamin composition of Micractinium pusillum Fres. isolated from a wastewater stabilization pond
Bibliographic record
Abstract
SUMMARY The biotechnological exploitation of microalgae requires more investigations in order to improve our knowledge of their biochemistry and to look for new potentially interesting species. Microalgae are used in various areas. Among them, wastewater treatment in wastewater stabilization ponds and high-rate ponds is widely prevalent. Beside their purifying ability, their abundance in these ecosystems makes them interesting as a potential source of valuable products. Micractinium pusillum Fres, a green alga (Chlorophyceae) that grows in these ecosystems, was isolated from the experimental wastewater stabilization pond of Ouarzazate city (south of Morocco), where it becomes important during the hot period. In the present work, we investigated the dissolved free and combined amino acids and the vitamins produced by this microalgal strain cultured on a minerai medium. The biomass production of M. pusillum was conducted in 2 1 cotton-stoppered flasks under continuons light (60 uE m2 s1) provided by neon tubes and at a temperature of 24 ± 2°C. The culture medium was sterilized by autoclaving before inoculation. Free and combined amino acids were respectively analysed by HPLC separation of fluorescent o-phthaldialdehyde (OPA) derivatives. Prior to derivatizatio n, the cells were broken and the cell content was digested with HC1. The analysis of vitamins was also realised by HPLC, with UV - visible detection methods, after extraction by appropriate solvents.
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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".