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Record W4413840333 · doi:10.1002/sfp2.70031

Impacts of Tempering and Infrared Heating of Pulse Seeds on the Functionality and Digestibility of Air‐Classified Fine Stream

2025· article· en· W4413840333 on OpenAlex
Ke Ding, Areha Abid, Kashika Sethi, Michael T. Nickerson, Thomas D. Warkentin, Mark R. Pickard, Yongfeng Ai

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

VenueSustainable Food Proteins · 2025
Typearticle
Languageen
FieldNursing
TopicFood composition and properties
Canadian institutionsUniversity of Saskatchewan
FundersGovernment of CanadaUniversity of Saskatchewan
KeywordsTemperingPulse (music)InfraredEnvironmental scienceMaterials scienceComposite materialComputer scienceTelecommunicationsOpticsPhysics

Abstract

fetched live from OpenAlex

ABSTRACT The objective of this study was to evaluate the functional properties and in vitro protein digestibility (IVPD) of air‐classified fine stream (i.e., protein concentrates) obtained from round pea, faba bean, and wrinkled pea that were pre‐treated by tempering and subsequent infrared (IR) heating prior to air classification. Due to the absence of effective modifications on protein and starch, the tempering did not influence the separation between these two major constituents during the air classification and exhibited negligible effects on the functional attributes and digestibility of the obtained fine stream, except for water‐holding capacity (WHC). IR pre‐treatment led to protein denaturation and starch gelatinization in round pea, faba bean, and wrinkled pea, thus showing some negative influence on the separation of protein and starch in the air classification. Although IR heating reduced the protein solubility of fine stream from 79.9%–83.4% to 24.0%–33.1% for the three pulses, this pre‐treatment did not considerably affect their particle morphologies and size distributions nor foaming and emulsifying properties. As a result of protein denaturation, IR heating enhanced WHC from 0.42–0.65 g/g to 1.82–1.98 g/g and IVPD from 78.6%–83.0% to 85.3%–86.7% for the three fine stream samples. IR heating can be utilized to pre‐treat different pulse seeds to diversify the techno‐functional attributes and enhance the digestibility of protein concentrates obtained through air classification.

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)0.000
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 score0.362
Threshold uncertainty score0.384

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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 head0.015
GPT teacher head0.245
Teacher spread0.230 · 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