Uncovering the spoilage metabolism of spoilage bacteria in large yellow croaker (Larimichthys crocea) under cold chain logistics: A novel perspective of amino acids degradation
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
To characterize the spoilage potential of amino acid degradation and related quality changes attributed to microorganisms, three large yellow croaker spoilage bacteria were inoculated to fillets ( in vivo ) and amino acid solutions ( in vitro ). The results showed that Aeromonas salmonicida exhibited stronger potential for the accumulation of trichloroacetic acid (TCA)-soluble peptides and deamidation activities and produced 174.23 μg/g ammonia on fillets on day 10.5, with the highest total volatile basic nitrogen (TVB-N) value of 22.39 mg/100 g. Pseudomonas fluorescens exhibited an active ability to utilizing glucose and lactate. Meanwhile, Shewanella putrefaciens had potent in ornithine and lysine decarboxylation activities (1106.59 and 1378.45 U/kg) and putrescine producing activities, releasing 21.83 mg/kg putrescine in fillets. The arginine decarboxylase pathway was evaluated as the most effective pathway to putrescine production for spoilage bacteria. This study provided insights into spoilage mechanisms and the development of quality control measures for seafood during cold chain logistics.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 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 it