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Record W3184707103 · doi:10.1111/jfpp.15797

Oxidizing agent‐assisted extrusion cooking of yellow peas and the techno‐functionality of the resulting extrudate flours

2021· article· en· W3184707103 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 Processing and Preservation · 2021
Typearticle
Languageen
FieldNursing
TopicFood composition and properties
Canadian institutionsUniversity of Manitoba
FundersCanadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada
KeywordsOxidizing agentExtrusionDie swellEmulsionPlastics extrusionIngredientChemistryExtrusion cookingFood industryFood scienceMaterials scienceChemical engineeringPulp and paper industryComposite materialOrganic chemistry

Abstract

fetched live from OpenAlex

To enhance pulse flour techno-functionality, different oxidizing agents were used during extrusion cooking. Benzoyl peroxide (BP) (45 mg/kg), azodicarbonamide (ADA) (150 mg/kg), and pressurized air (injection pressures of 200 and 400 kPa) were employed at three different extrusion temperature profiles, and their effects on techno-functional quality of resulting yellow pea (YP) extrudate flours were investigated. Oxidizing agents and extrusion temperature impacted water solubility (WS), water-binding capacity, emulsion capacity (EC), emulsion stability (ES), and pasting properties of YP extrudate flours. Oxidizing agent effects were extrusion temperature-dependent. At a die temperature of 95℃, BP and ADA addition significantly increased EC and ES, while air injection at 400 kPa increased WS, ES, cold, and trough viscosities. Manipulation of pulse flour techno-functionality through oxidizing agent-assisted extrusion has proven to be an effective approach to manufacture novel ingredients that can be used in a wide variety of foods. Practical applications High protein and fiber content of pulses make them an attractive ingredient for new product development strategies in the food industry. Nevertheless, there can be significant quality challenges when using pulses in food products due to their less than ideal techno-functional properties which lead to quality defects in reformulated products. Extrusion cooking has been employed to modify pulse flours and to develop pulse-based ingredients with superior techno-functionality. The use of oxidizing agents during extrusion cooking can be another means of addressing these techno-functionality issues, without the need of additional equipment for the industry. In this study, depending on the oxidizer type and extrusion temperature, oxidizing agent-assisted extrusion cooking has proven to improve several techno-functional quality attributes of yellow pea flour. The same technology can be employed to improve the techno-functionality of different pulse flours.

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)0.001
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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.332
Threshold uncertainty score0.278

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
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 head0.046
GPT teacher head0.264
Teacher spread0.218 · 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