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Record W4416041637 · doi:10.1016/j.ifset.2025.104355

Effect of high shear mixing on the physicochemical characteristics and functional properties of wheat and oat fibers

2025· article· en· W4416041637 on OpenAlexafffund
Ahasanul Karim, Emmanuel Freddy Osse, Mohammed Aïder, Seddik Khalloufi

Bibliographic record

VenueInnovative Food Science & Emerging Technologies · 2025
Typearticle
Languageen
FieldNursing
TopicFood composition and properties
Canadian institutionsUniversité Laval
FundersMinistère de l'Économie, de l’Innovation et des Exportations du Québec
KeywordsCrystallinityPorosityAdsorptionFiberSpecific surface areaMixing (physics)Swelling capacity

Abstract

fetched live from OpenAlex

Plant-based dietary fibers from cereals such as wheat and oats are increasingly incorporated into food formulations due to their nutritional and health-promoting benefits. However, their native structural characteristics, including high crystallinity, limited surface area, and restricted hydration capacity, can constrain their functionality in complex food systems. This study aimed to investigate the potential of high shear mixing (HSM) as a physical modification strategy to improve the structural and functional properties of wheat, oat-1, and oat-2 fibers. The fibers were subjected to HSM treatment and freeze-dried, and their water-holding capacity (WHC), oil-holding capacity (OHC), swelling behavior, glucose adsorption capacity (GAC), and emulsifying activity were evaluated. Structural alterations were examined using BET surface area analysis, Fourier-transform infrared spectroscopy, scanning electron microscopy, and X-ray diffraction. HSM combined with freeze-drying markedly modified fiber structure, as reflected in wheat, where the specific surface area increased from 1.30 to 5.62 m 2 /g, porosity rose from 94.59 to 97.56 %, and crystallinity index decreased from 49.88 to 47.75 %. These modifications were accompanied by improved WHC (5.5 to 8.29 g/g) and OHC (5.18 to 9.58 g/g). In contrast, GAC and emulsifying activity of wheat fibers decreased (7.2 to 5.9 mmol/g and 47 % to 45 %, respectively). Oat fibers, particularly oat-2, largely maintained their GAC and emulsifying properties, likely due to their higher soluble fiber fraction, including β-glucans. Overall, HSM demonstrated fiber-specific effects, enhancing hydration- and lipid-binding capacities while reducing some adsorption and interfacial properties. These findings highlight HSM as a promising technique to tailor cereal fibers for targeted food applications. • High shear mixing with freeze drying improved structure and hydration of fibers. • Structural changes confirmed via SEM, XRD, FTIR, and BET analyses. • HSM increased WHC and OHC but reduced GAC and EA in wheat fibers. • The effectiveness of HSM was dependent on the fiber's intrinsic structure. • HSM shows potential for tailoring fibers in sustainable food applications.

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 score0.002

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 head0.020
GPT teacher head0.256
Teacher spread0.236 · 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

Citations2
Published2025
Admission routes2
Has abstractyes

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