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Record W4387170042 · doi:10.1139/cjas-2023-0029

Quantification of biogenic amines and adaptation of an index as a quality indicator of rendered pig meals

2023· article· en· W4387170042 on OpenAlexvenueno aff
C. L. Contreira, Larissa Rossett Corezzolla, Gizelle Cristina Bedendo, E. L. Krabbe, E. Gopinger, V. S. de Ávila, Fernando Rutz

Bibliographic record

VenueCanadian Journal of Animal Science · 2023
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicPolyamine Metabolism and Applications
Canadian institutionsnot available
FundersCoordenação de Aperfeiçoamento de Pessoal de Nível Superior
KeywordsCadaverinePutrescineSpermidineSpermineBiogenic amineTyramineChemistryFood scienceMealRendering (computer graphics)ChromatographyBiochemistryEnzyme

Abstract

fetched live from OpenAlex

The objective of this study was to quantify biogenic amines and to adapt equations for the calculation of the biogenic amine index (BAI) in rendered pig carcass meals (RPCM). Samples of RPCM from three different origins were evaluated: Group 1—experimentally produced meal; Group 2—meal produced in a plant dedicated to rendering pigs dead on the farm due to non-infectious causes; and Group 3—meal produced in commercial rendering plants. Group 1 meals were produced from sow carcasses that were stored either under environmental temperature (ET = 25 °C) or refrigeration temperature (RT = −6 °C), and their biogenic amine contents were analyzed at 0, 24, 48, and 72 h of storage. The levels of the biogenic amines phenylethylamine, putrescine, cadaverine, histamine, tyramine, spermidine, and spermine of all meals were determined by high-performance liquid chromatography, and their BAIs were calculated. Group 1 meals stored at ET presented higher phenylethylamine, putrescine, cadaverine, and tyramine contents compared with those stored at RT after 24 h storage, whereas spermidine and spermine contents decreased after 24 h of storage at ET. The adapted BAI can be used as a quality indicator of RPCM.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.522
Threshold uncertainty score0.415

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.048
GPT teacher head0.323
Teacher spread0.275 · 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 teacher head, 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

Citations0
Published2023
Admission routes1
Has abstractyes

Explore more

Same venueCanadian Journal of Animal ScienceSame topicPolyamine Metabolism and ApplicationsFrench-language works237,207