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Record W2133991271 · doi:10.5539/jfr.v1n3p128

Inhibition of Lipid Oxidation by MRP Antioxidant in Enriched Cooked Beef Patties with Polyunsaturated Fatty Acids

2012· article· en· W2133991271 on OpenAlexvenueno aff
Carina Lorena Fernández, Mario A. Sturla, Mirtha Marina Doval, Ana María Rincón Romero, María Alicia Judis

Bibliographic record

VenueJournal of Food Research · 2012
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicMeat and Animal Product Quality
Canadian institutionsnot available
FundersConsejo Nacional de Investigaciones Científicas y Técnicas
KeywordsTBARSChemistryFood sciencePolyunsaturated fatty acidLipid oxidationAntioxidantPeroxide valueABTSThiobarbituric acidDPPHLipid peroxidationGallic acidBiochemistryFatty acid

Abstract

fetched live from OpenAlex

<p>The addition of n3 polyunsaturated fatty acids to foods is an emerging area of commercial and academic interest. However, the incorporation of n3 polyunsaturated fatty acids into food systems is potentially problematic due to their propensity to oxidize easily. The antioxidant capacity of MRP has mostly been studied in vitro, in fresh chicken, mutton and pork, and in precooked ground pork and beef patties and sausages. The aim of this study is to evaluate the antioxidant properties as well as the antioxidant effect of a preformed Maillard Reaction Product (MRP) from sarcoplasmic proteins/malondialdehyde, known for its antioxidant effect on water/oil emulsion and on lipid oxidation of beef patties when the level of n3 PUFA is improved. The MRP presented a high reducing power, a low phenolic compound content (9.2 mg gallic acid equivalent/g and 798.3 mg quercetin equivalent/g), and a minor DPPH and ABTS+ radicals scavenging activity (34 % and 23,5 %, respectively). All concentrations of MRP assayed inhibited hydroperoxide formation and thiobarbituric acid reactive substances (TBARS) production during refrigerated storage of enriched meat patties. The 3% concentration was the most efficient and exerted an 83 % and 85 % inhibition of peroxidation measured as peroxide value and TBARS, respectively.</p>

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)0.003
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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.351
Threshold uncertainty score0.169

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.085
GPT teacher head0.318
Teacher spread0.233 · 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

Citations8
Published2012
Admission routes1
Has abstractyes

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