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Record W3001025165 · doi:10.221751/rmc2017.058

Improving Shelf Life of Fresh Bison Steaks Treated with Oregano and Rosemary Essential Oils

2017· article· en· W3001025165 on OpenAlexaff
Vipasha Sood, W. Tian, Claudia Narváez‐Bravo, Susan D. Arntfield, Argenis Rodas‐González

Bibliographic record

VenueMeat and Muscle Biology · 2017
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicMeat and Animal Product Quality
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsLoinMetmyoglobinFood scienceShelf lifeLipid oxidationTBARSChemistryFlavorAntioxidantLipid peroxidation

Abstract

fetched live from OpenAlex

ObjectivesBison meat color is dark, consistently unstable and discolors rapidly under aerobic packaging during retail display. Consequently, it is important to explore available technologies for use in bison meat which might be successful in improving shelf-life attributes. This study was conducted to examine the effects of essential oils (rosemary and oregano) on color and oxidative stability of bison strip loins in retail display conditions.Materials and MethodsStrip loins (n = 10) from grade A1 bison carcasses were obtained and aged for 7 d at 4°C. Before injecting the subprimal with essential oils (at 7 d postmortem), an initial steak (2.5 cm thick) was cut from each strip loin for metmyoglobin reducing activity (MRA) and oxygen consumption (OC) analysis. The rest of the loin was cut into 3 equal portions. Each portion was weighed, pH and temperature were determined and then allotted to 1 out of 3 treatments with essential oils (non-enhanced, 0.05% rosemary extract and 0.08% oregano extract in the final product at a 10% pump level). Treatments were evaluated for pH, drip loss, MRA, OC, lipid oxidation (TBARS) and color stability (based on instrumental and sensory color measurements) on steaks which were PVC-overwrapped and placed in retail cabinets for 5 d at 3°C under LED (light emitting diodes) with intensity 1240 lx.ResultsThe pH values were not different among treatments at d 0 and d 4 (P > 0.05); however, the pH of all samples decreased (P 0.05). Oregano steaks presented a stable red color with less discoloration during the retail display period than the control and rosemary steaks (P < 0.05). These results were in accordance with lightness (L*), chroma (C) and hue (H) results obtained in the instrumental color analysis. With respect to TBARS values, oregano steaks decreased lipid oxidation compared to the control and rosemary steaks (P < 0.05).ConclusionThese results indicated that the essential oil from oregano can considerably improve color stability of bison steaks due to its antioxidants properties and ability to increase MRA capacity in the bison meat.

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 score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
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)0.0010.000

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 head0.024
GPT teacher head0.241
Teacher spread0.217 · 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
Published2017
Admission routes1
Has abstractyes

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