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Gluten protein composition and aggregation properties as predictors for bread volume of common wheat, spelt, durum wheat, emmer and einkorn
被引:70
作者:
Geisslitz, Sabrina
[1
]
Wieser, Herbert
Scherf, Katharina Anne
[1
]
Koehler, Peter
[2
]
机构:
[1] Tech Univ Munich, Leibniz Inst Food Syst Biol, Lise Meitner Str 34, D-85354 Freising Weihenstephan, Germany
[2] Biotask AG, Schelztorstr 54-56, D-73728 Esslingen, Germany
关键词:
Bread volume;
Gluten;
Glutenin macropolymer;
Wheat;
TRITICUM-MONOCOCCUM L;
AESTIVUM SSP SPELTA;
TECHNOLOGICAL PROPERTIES;
LIQUID-CHROMATOGRAPHY;
CHEMICAL-COMPOSITION;
QUALITY PARAMETERS;
BAKING QUALITY;
FLOURS;
CLASSIFICATION;
MACROPOLYMER;
D O I:
10.1016/j.jcs.2018.08.012
中图分类号:
TS2 [食品工业];
学科分类号:
0832 ;
摘要:
The technological properties of the ancient wheat species spelt, emmer and einkorn are considered inferior compared to common wheat and durum wheat, but there are only few comparative studies between ancient and modern wheat species. To help fill this gap, protein content and composition, gluten aggregation, dough and bread properties were determined in a unique set of eight cultivars each of common wheat, spelt, durum wheat, emmer and einkorn grown under standardized conditions at one location in the same year. Spearman correlations and principal component analysis (PCA) revealed that especially the contents of glutenins, high-molecular weight glutenin subunits and glutenin macropolymer were suitable to predict the volume of breads made from wholemeal flours of the five wheat species using microbaking tests. Based on their proximity to common wheat in the PCA, one cultivar each of spelt, emmer and einkorn was identified that had similar protein analytical, functional and baking properties to common wheat. Furthermore, the characterization of gluten aggregation behavior using the GlutoPeak test (GPT) enabled an estimation of dough properties and bread volume. Therefore, the fast and easy GPT may serve as an alternative to time-consuming and labor-intensive baking tests.
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页码:204 / 212
页数:9
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