Retention of β‐galactosidase activity in crude cellular extracts from <i>Lactobacillus delbrueckii</i> ssp. <i>bulgaricus</i> 11842 upon drying
Bibliographic record
Abstract
Crude cellular extracts (CCEs) containing active β‐galactosidase from Lactobacillus delbrueckii ssp. bulgaricus 11842 were spray‐dried at three different outlet air temperatures (45, 55 or 65°C) or freeze‐dried, with or without whey proteins, casein, whey or skim milk as drying adjuncts. The use of whey or skim milk resulted in significantly ( P < 0.05) higher β‐galactosidase activity retention in comparison to all other CCEs. This effect was not related to the initial total solids (TS) content (4–10%) of the feedstock solutions, but was presumably caused by the presence of lactose in the whey or skim milk CCE preparations.
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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) | 0.001 | 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) | 0.001 | 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".