Proteolytic Activity in Actomyosinfrom Mantle and Fin of Squid (Illexargentinus) Stored at 2-4°C. Influence on the Physicochemical and Functional Properties of the Protein
Bibliographic record
Abstract
Actomyosin (AM) of mantle and fin from squid was stored at 2-4°C and the possible presence of proteolytic activity was investigated. Similar SDS-PAGE 10% patterns were obtained with both AM at zero time of storage. In absence of protease inhibitors, a decrease in the intensity of the band of the myosin heavy chain (MHC) and an increase in those of 155 kDa and 55 kDa bands of stored AM was observed. In presence of either PMSF (phenylmethylsulfonyl fluoride) or EDTA (ethylenediaminetetraacetic acid) both AM showed a minor degradation of the MHC, being the EDTA more effective. Proteolytic changes were accompanied by a significant increase (p < 0.05) in the proteinsurface hydrophobicity, (So: 1-anilino-8-naphtalene sulfonic acid (ANS)), the emulsion activity index (EAI) and the emulsion stability (ES) at 24 h of storage. At the same time, the reduced viscosity (VER) decreased significantly (p < 0.05). No significative changes (p > 0.05) in VER, IAE and ES of both AM occur in presence of protease inhibitors.A proteolytic activity closely associate with actomyosin from squid mantle and fin, was detected. Both serine and metalloproteinase activities were responsible for the autolysis of stored actomyosin. The best emulsifiying properties were obtained with AM without inhibitors. Because of this fins proteins could be and inexpensive source of functional ingredients with potential application as emulsifier agents in food product.
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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 | 0.000 |
| 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".