Investigation into the impact of egg white addition on the structural properties and flavour profile of gluten-free sourdough bread
View/ Open
Publication date
2024-04-12Creators
Stinton, Jessica
Dugina, Kateryna
Hewson, Louise
Fisk, Ian
Metadata
Show full item recordDescription
The impact of egg white addition on structural and sensory qualities of gluten-free sourdough bread was investigated at three egg white-to-sourdough ratios: 25:75, 45:55, and 85:15, versus a sourdough-only control (0:100) In this study, mild acidity from sourdough promoted gluten-like network formation in egg white-added breads, evidenced by significantly thicker cell walls versus control (p<0.05), with the greatest improvement in samples with 45 % egg white and 55 % sourdough. Specific volume and textural parameters of breads with 45-85 % egg white were significantly improved versus control (p<0.05). Principal Component Analysis showed positive multivariate correlations between egg white content and improved chewiness, area of cells and density. Positive correlations were identified between sourdough content and favourable acetic acid, phenylethyl alcohol and 6-methyl-5-heptan-2-one, and samples with egg white-to-sourdough ratios 45:55 contained positive flavour attributes throughout storage, with the greatest concentrations of acetic acid and phenylethyl alcohol by day six. This research demonstrated that the combination of egg white and sourdough in similar proportions promotes the formation of gluten-like networks, producing gluten-free breads with similar structural and sensory attributes to conventional breads, which are retained over storage.
External URI
Related publication DOI
Subjects
- Cooking (Eggs)
- Cooking (Sourdough)
- Sourdough bread -- Sensory evaluation
- Gluten-free foods -- Sensory evaluation
- gluten-free, egg white, sourdough, bread
- Veterinary Sciences, Agriculture & related subjects::Food & beverage studies::Food science::Cereal science
- T Technology::TP Chemical technology::TP 368 Food processing and manufacture
Divisions
- University of Nottingham, UK Campus::Faculty of Science::School of Biosciences
Deposit date
2024-04-12Data type
numerical and statistical dataFunders
- Biotechnology & biological Sciences Research Council
Grant number
- BB/W006979/1
Data collection method
Analytical methods of batter and loaf characteristics, texture analyser, C-Cell, GC-MS, ANOVA, Kruskal-Wallis tests, Principal Component Analysis (PCA)Resource languages
- en