Unlabelled: The purpose of this research was to gain an insight into the ability of the GlutoPeak instrument to predict flour functionality for bread making, as well as to determine which of the GlutoPeak parameters show the best potential in predicting dough rheological behavior and baking performance. Obtained results showed that GlutoPeak parameters correlated better with the indices of extensional rheological tests which consider constant dough hydration than with those which were performed at constant dough consistency. The GlutoPeak test showed that it is suitable for discriminating wheat varieties of good quality from those of poor quality, while the most discriminating index was maximum torque (MT). Moreover, MT value of 50 BU and aggregation energy value of 1,300 GPU were set as limits of wheat flour quality. The backward stepwise regression analysis revealed that a high-level prediction of indices which are highly affected by protein content (gluten content, flour water absorption, and dough tenacity) was achieved by using the GlutoPeak indices. Concerning bread quality, a moderate prediction of specific loaf volume and an intense level prediction of breadcrumb textural properties were accomplished by using the GlutoPeak parameters. The presented results indicated that the application of this quick test in wheat transformation chain for the assessment of baking quality would be useful.
Practical Applications: Baking test is considered as the most reliable method for assessing wheat-baking quality. However, baking test requires trained stuff, time, and large sample amount. These disadvantages have led to a growing demand to develop new rapid tests which would enable prediction of baked product quality with a limited flour size. Therefore, we tested the possibility of using a GlutoPeak tester to predict loaf volume and breadcrumb textural properties. Discrimination of wheat varieties according to quality with a restricted flour amount was also examined. Furthermore, we proposed the limit values of GlutoPeak parameters which would be highly beneficial for millers and bakers when determine suitability of flour for end-use.
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http://dx.doi.org/10.1111/jtxs.12308 | DOI Listing |
Heliyon
October 2023
Department of Food Science and Nutrition, College of Food, Agricultural and Natural Resource Sciences, University of Minnesota, 1334 Eckles Avenue, St. Paul, MN, 55108, USA.
This study introduces a novel machine learning methodology for predicting GlutoPeak test parameters from image data, leveraging AutoKeras and transfer learning. The GlutoPeak test is a tool used in the baking industry to evaluate the properties of flour, based on its gluten strength and elasticity. Our research aimed to devise an efficient and cost-effective technique for quantifying the gluten properties of wheat varieties.
View Article and Find Full Text PDFFoods
January 2023
Department of Food Science, Whistler Center for Carbohydrate Research, Purdue University, West Lafayette, IN 47907, USA.
Hazelnut skin is a by-product produced from hazelnut processing. It can be used as a nutritional supplement due to its high nutrient values. The purpose of this study was to evaluate the dough properties of refined flour (RF) with the addition of hazelnut skin (HS), cross-linked starch (CS), and oxidized starch (OS).
View Article and Find Full Text PDFBMC Plant Biol
October 2022
Henan Institute of Crop Molecular Breeding, Henan Academy of Agricultural Sciences, Postgraduate T & R Base of Zhengzhou University, Zhengzhou, 450002, China.
Background: Numerous studies have shown that gluten aggregation properties directly affect the processing quality of wheat, however, the genetic basis of gluten aggregation properties were rarely reported.
Results: To explore the genetic basis of gluten aggregation properties in wheat, an association population consisted with 207 wheat genotypes were constructed for evaluating nine parameters of aggregation properties on GlutoPeak across three-year planting seasons. A total of 940 significant SNPs were detected for 9 GlutoPeak parameters through genome-wide association analysis (GWAS).
Foods
June 2022
Department of Food Engineering, Graduate School of Natural and Applied Sciences, Hitit University, Corum 19030, Turkey.
The study aims to accurately detect gluten quality of whole wheat flour without a refining process by measuring gluten aggregation properties with a novel and non-destructive chemometric technique called GlutoPeak, coupled with principal component analyses (PCA) and hierarchical cluster analyses (HCA). For this purpose, whole wheat flour samples from 125 common bread wheat cultivars were analyzed for protein content (PC), wet gluten content (WGC), and Zeleny sedimentation value (SV). The correlations of GlutoPeak indices (peak maximum time, PMT; maximum torque, MT; torque 15 s before MT, AM; torque 15 s after MT) with other conventional wheat quality parameters were evaluated.
View Article and Find Full Text PDFFront Plant Sci
January 2021
Henan Institute of Crop Molecular Breeding, Henan Academy of Agricultural Sciences, Zhengzhou, China.
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