Screening, mutation breeding and medium optimization of glucan-producing lactic acid bacteria
Bibliographic record
Abstract
One lactic acid bacteria strain 2-17 with the glucan-producing capacity of(5.24±0.14) g/L was isolated from the commercial pickles and the pickles made in the laboratory. This strain was identifi ed as Leuconostoc mesenteroides subsp. mesenteroides by a series of physiological and biochemical tests and analysing the 16 SrDNA sequence. The glucan-producing capacity of the strain was improved by exposing the strain to nitrosoguanidine and UV irradiation successively, and the optimal mutagenic condition was determined as the following: the strain was first cultured in the MRS medium for 9h and then was exposed to 0.5 mg/m L nitrosoguanidine for 80 minutes followed by exposure to UV radiation(30 W) from distance of 45.0 cm for 30 s; then the culture was treated by the same nitrosoguanidine-UV complex mutation again. After that, one mutant UN2-18 with the glucan-producing capacity of(7.54±0.08) g/L was obtained and the glucan production of this mutant was 43.89% higher than that of its original strain. In addition, the strain obtained by continuous subculturing the mutant UN2-18 for 10 generations leveled out its glucan production by around 7.5 g/L. The optimal culture conditions of the cheap medium were determined for 2% soybean meal hydrolysised with degree of 10%, 10% sucrose and 2% K2HPO4. The glucan production of UN2-18 was(34.4±0.07) g/L, improving by 3.56 fold.
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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 | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".