The effect of temperature and nitrogen source modulation on Pseudomonas fluorescens AQP671 ice recrystallization inhibition activity
Bibliographic record
Abstract
Cold-adapted organisms have developed many different mechanisms to protect themselves from freezing temperatures. One of these mechanisms is ice recrystallization inhibition (IRI) activity. IRI refers to the ability of certain proteins and compounds to prevent the growth of ice crystals during freeze-thaw processes. The IRI activity of Pseudomonas fluorescens AQP 671 culture media was evaluated in relation to various nitrogen sources, incubation temperatures and pH conditions. The highest IRI activities were achieved with amino acids L-asparagine, L-proline, or L-valine, particularly under prolonged low-temperature cultivation. A rapid increase in IRI activity was observed during the first 24 hours, in response to cold shock, correlating with cell density. The activity was detected at temperatures below 15 °C, with the highest IRI activities achieved at 5-10 °C. The optimal pH range for high IRI activity was pH 6-8, and it was negatively affected by low (2-4) and high (10-12) pH values. These findings highlight the importance of both environmental conditions and nutrient composition in the expression of IRI activity in Pseudomonas fluorescens AQP671 culture media.
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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 | 0.001 |
| 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".