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Record W4415678983 · doi:10.1016/j.jfutfo.2025.10.005

Effects of Atmospheric Steam Treatment on Wheat Flour Gelatinization Degree, Coating Batter Rheology, and Crispness of Fried Crusts

2025· article· en· W4415678983 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.

Bibliographic record

VenueJournal of Future Foods · 2025
Typearticle
Languageen
FieldChemistry
TopicEdible Oils Quality and Analysis
Canadian institutionsMinistry of Agriculture
FundersAgricultural Science and Technology Innovation ProgramChinese Academy of Agricultural Sciences
KeywordsRheologyStarchWheat flourStarch gelatinizationGlutenCoatingConsistency indexWheat starch

Abstract

fetched live from OpenAlex

• Pre-steaming flour offers a clean-label approach to enhance fried food crispness. • Atmospheric steam treatment partially gelatinizes flour, increasing batter viscosity. • Steam-treated flours improve batter rheology, coating adhesion, and crust crispness. • Crispness improvement is most notable in coatings made with medium-gluten flour. This study investigates the effects of atmospheric steam treatment (AST) on wheat flours with varying gluten strengths (strong, medium, and weak) and their performance in frying batter applications. Wheat flours were steam-treated for 0-10 min and evaluated for gelatinization degree, water-holding capacity, microstructural changes, rheological behavior, and frying characteristics. The results indicated that the gelatinization degree and water‑holding capacity of wheat flours increased progressively with AST duration, reflecting the disruption of starch granule structure and enhancement of water absorption. These changes were further corroborated by scanning electron microscopy, which provided visual evidence of the gradual transformation of starch granules and the formation of a compact, interconnected network of gelatinized starch and denatured proteins. Rheological analysis revealed increased yield stress and apparent viscosity in AST batters, suggesting improved flow resistance and batter stability. Batters prepared with AST flours exhibited improved batter pick-up, sensory attributes, and enhanced crispness in the fried coatings. Optimal sensory performance for all three wheat flours was observed at a starch gelatinization degree of 50-55%. Within this optimal range, medium gluten flour exhibited the greatest improvements (peaking at 4-6 min) and produced fried coatings with the highest crispness, adhesion, and overall sensory acceptability. This performance may be attributed to its optimal consistency index (K) and flow index (n). These findings highlight AST as an effective clean-label method to improve wheat flour-based frying batters, offering valuable insights for selecting flour types and driving innovation in industrial frying 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.

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)0.000
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 score0.392
Threshold uncertainty score0.479

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.010
GPT teacher head0.270
Teacher spread0.260 · 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