Biochemical, Physiological and Technological Properties of Lactic Acid Bacteria Isolated and Characterized from Hard and Soft Wheat
Bibliographic record
Abstract
Population of lactic acid bacteria (LAB) adhering on three samples of wheat grain, viz.Algerian durum wheat, Canadian durum wheat and French soft wheat and a sample of bread flour, collected from the Semoulerie Industrielle de la Mitidja was cultured and identified to determine their diversity.Fifty four lactic acid bacteria were isolated.They belonged to 20 species of eight genera (Pediococcus, Enterococcus, Lactobacillus, Lactococcus, Weissella, Streptococcus, Leuconostoc and Aerococcus).The Enterococcus genus represented 42% of the isolated strains, followed by Streptococcus (19%), Lactococcus (11%), Lactobacillus (9%) and Pediococcus (9%), Leuconostoc (4%) and Weissella (4%) and the Aerococcus (2%).Nineteen biochemical and physiological parameters of LAB population were estimated along with four technological properties were studied.Oxidase, mannase, urease, nitrate reductase and haemolysis were negative for all species.All the 54 strains tested showed acidifying capacity, proteolytic nature and lipase activity.All except Enterococcus acidominimus B8 and B14, Streptococcus thermophilus B13, both strains of Lactococcus lactis ssp.Cremoris, Lactococcus lactis ssp.Lactis, Leuconostoc mesenteroides subsp.mesenteroides did not possess lacithinase activity.Leuconoctoc mesenteroides subsp.mesenteroides was the most efficient acid producing strain.It was closely followed by Lactobacillus fermentum and Leuconostoc mesenteroides subsp.dectranicum.Close similarity in their biochemical and physiological characters showed that efficiency of any new species for industrial and household suitability for fermentation can be predicted on the basis of similarity in their characters with Leuconoctoc mesenteroides subsp.mesenteroides.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".