MétaCan
Menu
Back to cohort
Record W4411157450 · doi:10.3390/pr13061823

Optimized Production and Bioactivities of Protein Hydrolysates from Atlantic Salmon Processing Discards

2025· article· en· W4411157450 on OpenAlexafffund
V. Ramakrishnan, Juran C. Goyali, Deepika Dave, Fereidoon Shahidi

Bibliographic record

VenueProcesses · 2025
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicProtein Hydrolysis and Bioactive Peptides
Canadian institutionsMemorial University of Newfoundland
FundersCanada First Research Excellence FundOcean Frontier Institute
KeywordsDiscardsFisheryHydrolysateChemistryFish <Actinopterygii>BiologyBiochemistry

Abstract

fetched live from OpenAlex

Enzymatic hydrolysis of Atlantic salmon processing discards, including heads and frames, was carried out using Alcalase, Flavourzyme, and their combination. The degree of hydrolysis varied depending on the enzyme and substrate, ranging from approximately 5% to 15%. Alcalase was more effective than Flavourzyme for the hydrolysis of salmon frames and heads. The results also indicated that 1% enzyme concentrations had slightly higher mean DH than 2%. The bioactivity testing indicated that the head hydrolysates had superior DPPH scavenging activity, while frame hydrolysates demonstrated higher ABTS and hydroxyl radical scavenging activity. The correlation between DH and bioactivities indicated that the degree of hydrolysis did not have any significant effect on the DPPH and hydroxyl radical scavenging activities while demonstrating a significant positive correlation against ABTS scavenging activity.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.007
GPT teacher head0.235
Teacher spread0.228 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations2
Published2025
Admission routes2
Has abstractyes

Explore more

Same venueProcessesSame topicProtein Hydrolysis and Bioactive PeptidesFrench-language works237,207