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Record W4307501639 · doi:10.1111/1750-3841.16380

Sensory characterization of yellow pea and ground chicken hybrid meat burgers using static and dynamic methodologies

2022· article· en· W4307501639 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueJournal of Food Science · 2022
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicSensory Analysis and Statistical Methods
Canadian institutionsAcadia University
FundersResearch Nova ScotiaCanada Foundation for Innovation
KeywordsFood scienceProcessed meatSensory systemLivestockFood productsConsumption (sociology)MathematicsBiologyPsychologyEcologyCognitive psychology

Abstract

fetched live from OpenAlex

To reduce animal protein consumption, new food products need to be created. Furthermore, there is a growing number of consumers who consciously act to reduce their meat consumption. Hybrid meat products (HMP) are food items that combine both plant and animal proteins. The objective of this study was to create a hybrid meat burger (HMB) using yellow pea and chicken and to evaluate the sensory properties of the new product using static (check-all-that-apply [CATA]) and dynamic (temporal check-all-that-apply [TCATA]) methods. Yellow pea flour was added to a chicken burger at 0% (control), 10%, 20%, 30%, and 40%. A sensory trial asked participants (n = 69) to evaluate the HMBs using hedonic scales and CATA. A second sensory trial asked experienced panelists (n = 14) to evaluate the items using TCATA. The addition of the yellow pea flour decreased the liking of the burgers, except for the 10% formulation. The burgers made with higher amounts of yellow pea were associated with off-flavors (beany and nutty; significantly different from the control) during both CATA and TCATA tasks and detracted from consumers' liking. Juicy, moist, meaty, salty, and soft attributes increased the consumers' liking. The study identified that the addition of yellow pea to chicken burgers is only acceptable to consumers in small quantities (10%). In addition, the yellow peas contributed off-flavors and a dry texture that was disliked by the consumers. PRACTICAL APPLICATION: The environmental impacts of livestock production have created a need to incorporate more plant-based proteins into consumers' diets to increase sustainability. The market for meat alternatives, including hybrid meat products, is expanding; however, current products do not always meet consumers' expectations. Chicken is the fastest-growing meat sector in North America, and therefore this study's objective was to determine the sensory properties of a burger made from chicken and pulses (yellow pea). It was found that if 10% of chicken in a burger was substituted with yellow pea, then the sensory properties and consumer liking were not significantly affected.

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.

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)0.002
metaresearch head score (Gemma)0.001
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 score0.851
Threshold uncertainty score0.271

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
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 head0.100
GPT teacher head0.325
Teacher spread0.225 · 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