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Effects of the size distribution of wheat starch on noodles with and without gluten
Author(s) -
Yan Huili,
Lu Qiyu
Publication year - 2021
Publication title -
journal of texture studies
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.593
H-Index - 54
eISSN - 1745-4603
pISSN - 0022-4901
DOI - 10.1111/jtxs.12564
Subject(s) - chewiness , absorption of water , granule (geology) , food science , starch , gluten , wheat starch , network structure , gluten free , mathematics , materials science , chemistry , composite material , machine learning , computer science
To understand the effects of A‐ and B‐type wheat starch on noodle quality, two noodle models with (Model 1) and without (Model 2) gluten were constructed with five different ratios of A‐ to B‐granules (100A‐0B, 75A‐25B, 50A‐50B, 25A‐75B, and 0A‐100B). With increasing proportions of B‐granules, the noodle structures of Models 1 and 2 became increasingly dense. The cooking loss, water absorption, proportion of free water, chewiness, cohesiveness and resilience decreased from 35.64 to 15.49%, 240.92 to 228.58%, 88.89 to 85.98%, 21.93 to 13.24 N, 0.77 to 0.56, and 0.61 to 0.36, respectively, with the increased proportion of B‐granules in Model 2, while those parameters normally presented “V” or inverted “V” trends in Model 1. Compared to their counterparts in Model 2, gluten networks with 25–50% B‐granules had an outstanding ability to increase the percentage of tightly bound water, hardness, chewiness and springiness by 4.50%, 24.07 N, 25.05 N, and 0.17 at most and reduce the proportion of free water and water absorption by 5.56 and 73.70% at most, respectively. The results indicated that the effect of the gluten network on noodle qualities may partially depend on its structure, which is shaped by the granule size distribution. Compared to the other characteristics of noodles, the springiness was influenced by a more complicated mechanism involving A‐ and B‐granules in Model 2, while it was strongly affected by the gluten network under the given experimental conditions in Model 1.