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Biomass recovery from herring brines: Exploring quality and functionality of protein and n-3 polyunsaturated fatty acids

2025· article· en· W4409572151 on OpenAlexaff
Bita Forghani, Tore C. Svendsen, Anubhav Pratap-Singh, Charlotte Jacobsen, Ingrid Undeland

Bibliographic record

VenueFood Chemistry · 2025
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicMeat and Animal Product Quality
Canadian institutionsUniversity of British Columbia
FundersEuropean Maritime and Fisheries FundHorizon 2020Marie CurieVINNOVAJordbruksverket
KeywordsHerringPolyunsaturated fatty acidBiomass (ecology)ChemistryFood scienceFisheryBiologyBiochemistryFatty acidEcologyFish <Actinopterygii>

Abstract

fetched live from OpenAlex

Protein-enriched biomasses recovered from herring brines using dissolved air flotation (DAF) at native or low pH were studied in terms of nutrients, volatile compounds, emulsion properties, foaming properties and protein structure. Dried biomasses from native or acidified 3 % pre-salting brine (SB and SB-A) and spice brine (SP and SP-A) contained 69-72 % and 20-31 % protein, respectively; 7.8-10.2 % and 9-18 % lipids, respectively, and 4.4-7.5 % and 33-36 % ash, respectively. Of total fatty acids, up to 44 % were long-chain monounsaturated fatty acids (LC MUFA) and 17 % LC n-3 polyunsaturated fatty acids (PUFA). Both emulsion activity index (EAI) and foaming capacity (FC) were higher for SP/SP-A than SB/SB-A. In both cases, there was a minimum at pH 5. The findings suggest that currently wasted herring brine side streams hold promise for production of sustainable, functional protein ingredients which can provide both flavor and nutrients.

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)0.000
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 score0.005
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

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

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 head0.084
GPT teacher head0.259
Teacher spread0.175 · 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

Citations1
Published2025
Admission routes1
Has abstractyes

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