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Record W4416454290 · doi:10.1002/jsfa.70338

Maize‐derived arabinoxylans modulate starch pasting, gel structure, and retrogradation

2025· article· en· W4416454290 on OpenAlexafffund
Nicola Gasparre, Fatma Boukid, Cristina M. Rosell

Bibliographic record

VenueJournal of the Science of Food and Agriculture · 2025
Typearticle
Languageen
FieldNursing
TopicFood composition and properties
Canadian institutionsUniversity of Manitoba
FundersNatural Sciences and Engineering Research Council of CanadaCanada Foundation for InnovationResearch Manitoba
KeywordsStarchRetrogradation (starch)ThickeningFood chemistryAgriculturePolysaccharide

Abstract

fetched live from OpenAlex

Abstract BACKGROUND Starch–fiber interactions play a paramount role in determining the functional quality and stability of starch‐based food products. This study systematically examined how maize arabinoxylans (MAX) influences the hydration, pasting, textural, and microstructural properties of maize starch gels. RESULTS Maize starch composites containing 0, 1, 3, 6, and 9 g 100 g −1 (w/w) MAX were subjected to water‐ and oil‐binding assays, Rapid Visco Analyzer (RVA) profiling, texture profile analysis (TPA), and scanning electron microscopy with morphometric quantification. Inclusion of MAX produced a marked shift in polymer–fluid dynamics: water‐binding capacity decreased from 0.95 (control) to 0.74–0.77 g g −1 , while oil‐binding capacity increased from 0.61 to 0.73 g g −1 at 9 g 100 g −1 MAX. Correspondingly, RVA pasting profiles exhibited concentration‐dependent reductions in peak, breakdown, and final viscosities, indicative of restricted granule swelling, diminished amylose leaching, and attenuated retrogradation. TPA revealed that gels with composites containing ≥ 6 g 100 g −1 MAX were significantly firmer, gummier, chewier, and more resilient both immediately and after 48 h of cold storage, confirming enhanced network rigidity and resistance to structural rearrangement. Microstructural analysis demonstrated a progressive transition where low MAX levels (1–3 g 100 g −1 ) yielded open, porous matrices, whereas higher levels (6–9 g 100 g −1 ) produced dense, cohesive architecture with thicker cell walls. CONCLUSION Collectively, these findings reveal that MAX contributes to the development of starch gels with controlled viscosity, improved structural stability, and minimized retrogradation. This mechanistic understanding provides a framework for tailoring starch–fiber composites in complex food matrices requiring controlled thickening and improved stability. © 2025 The Author(s). Journal of the Science of Food and Agriculture published by John Wiley & Sons Ltd on behalf of Society of Chemical Industry.

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 head0.009
GPT teacher head0.225
Teacher spread0.216 · 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
Published2025
Admission routes2
Has abstractyes

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