Kinetics of Wheat–Oat Dough Degradation Under Non-Traditional Farinographic Parameters Linked to Baking Trial Results

Recent trends in cereal chemistry emphasize sustainable food systems and functional fortification through upcycling and gluten reduction. This study addresses the challenges of reformulating wheat bakery products with four technologically distinct oat forms at three levels (5, 10, 15% substitution of wheat flour) by focusing on dough’s structural integrity. While conventional farinographic metrics such as Stability (STA) or Degree of Dough Softening (DSD) usually are not able to capture the dynamic fatigue of the gluten–starch matrix of wheat dough, several innovative kinetic descriptors are introduced, e.g., dough development slope angle (DDSA), and the time-resolved of both the dough curve width (DW) and farinograph elasticity loss (FEL) foursomes. Analytical results revealed that fiber-rich oat bran induced a mechanical ‘pseudostabilization’, whereas germinated diastatic malt caused a severe enzymatically driven structural collapse of wheat dough cohesiveness. This degradation was corroborated by a sharp non-linear decline in Falling Number (from 482 s to 196 s) and by a dramatic rise in the DSD/STA ratio (from 6.4 to 149.2). Statistical analysis indicated the proposed descriptors, particularly late-stage DW15–DW20 and FEL15–FEL20, provided more sensitive associations with quality parameters of small round breads baked at a laboratory scale—height, bread slice area, and specific volume—than traditional static indicators of the farinogram. As usual in such cases, a critical threshold of wheat flour substitution was identified at 10–15%. These results demonstrate that time–resolved kinetic modeling of dough elasticity serves as a robust complementary tool for predicting baking performance, enabling the rational optimization of formulations and the prevention of structural defects in industrial production.

Institutions

Publication Details

Journal
Applied Sciences
Published
2026-05-19
DOI
https://doi.org/10.3390/app16105043
Primary Topic
Food composition and properties
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Kinetics of Wheat–Oat Dough Degradation Under Non-Traditional Farinographic Parameters Linked to Baking Trial Results

Applied Sciences
Food composition and properties
article

Kinetics of Wheat–Oat Dough Degradation Under Non-Traditional Farinographic Parameters Linked to Baking Trial Results

article en

Abstract

Recent trends in cereal chemistry emphasize sustainable food systems and functional fortification through upcycling and gluten reduction. This study addresses the challenges of reformulating wheat bakery products with four technologically distinct oat forms at three levels (5, 10, 15% substitution of wheat flour) by focusing on dough’s structural integrity. While conventional farinographic metrics such as Stability (STA) or Degree of Dough Softening (DSD) usually are not able to capture the dynamic fatigue of the gluten–starch matrix of wheat dough, several innovative kinetic descriptors are introduced, e.g., dough development slope angle (DDSA), and the time-resolved of both the dough curve width (DW) and farinograph elasticity loss (FEL) foursomes. Analytical results revealed that fiber-rich oat bran induced a mechanical ‘pseudostabilization’, whereas germinated diastatic malt caused a severe enzymatically driven structural collapse of wheat dough cohesiveness. This degradation was corroborated by a sharp non-linear decline in Falling Number (from 482 s to 196 s) and by a dramatic rise in the DSD/STA ratio (from 6.4 to 149.2). Statistical analysis indicated the proposed descriptors, particularly late-stage DW15–DW20 and FEL15–FEL20, provided more sensitive associations with quality parameters of small round breads baked at a laboratory scale—height, bread slice area, and specific volume—than traditional static indicators of the farinogram. As usual in such cases, a critical threshold of wheat flour substitution was identified at 10–15%. These results demonstrate that time–resolved kinetic modeling of dough elasticity serves as a robust complementary tool for predicting baking performance, enabling the rational optimization of formulations and the prevention of structural defects in industrial production.

Applied SciencesVol. 16(10)
Czech University of Life Sciences Prague (CZ), National Agricultural and Food Centre (SK), University of Ss. Cyril and Methodius in Trnava (SK), University of Chemistry and Technology, Prague (CZ)
Agentúra na Podporu Výskumu a Vývoja, Národní Agentura pro Zemědělský Výzkum
Zero hunger
Openalex Percentile: Top 6%
Food composition and properties
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.