Publications and projects according to DDC
Publications
Publications and projects according to DDC 664: Food technology
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André, Amandine; Hecht, Katrin; Mischler, Sandra; Stäheli, Luca; Kerhanaj, Fllanza; Buller, Rebecca; Kinner, Mathias; Freimüller Leischtfeld, Susette; Chetschik, Irene; Miescher Schwenninger, Susanne; Müller, Nadina,
2024.
Food Research International.
186(114364).
Available from: https://doi.org/10.1016/j.foodres.2024.114364
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Streule, Stefanie,
2024.
In:
54th Meeting of Innovation Group Cocoa & Chocolate (Swiss Food Research), Courtelary, Switzerland, 7 February 2024.
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Mischler, Sandra; André, Amandine; Freimüller Leischtfeld, Susette; Müller, Nadina; Chetschik, Irene; Miescher Schwenninger, Susanne,
2024.
Applied Microbiology.
4(1), pp. 96-111.
Available from: https://doi.org/10.3390/applmicrobiol4010007
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Streule, Stefanie; Freimüller Leischtfeld, Susette; Galler, Martina; Motzer, Dominik; Poulose-Züst, Monja; Miescher Schwenninger, Susanne,
2023.
Foods.
13(1), pp. 137.
Available from: https://doi.org/10.3390/foods13010137
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Schmid, Tamara; Steinegger, Stefanie; Kinner, Mathias; Müller, Nadina,
2023.
Addition of particle stabilised foams to optimise the quality of gluten‐free toast bread.
International Journal of Food Science & Technology.
59(2), pp. 1017-1026.
Available from: https://doi.org/10.1111/ijfs.16864
Projects
Projects according to DDC 664: Food technology
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Self-learning optical sensor
The goal is to build a compact and low-cost optical sensor that can learn to classify different vegetable oils based on fluorescence spectroscopy using machine learning. The innovative approach is to use a neural network which learns by examples to classify substances without using analytical substance-specific ...
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Microalgae-Food: Enhanced cultivation strategies for microalgae in food applications
Operational support (equipment installation, training, process development) in the implementation of a microalgae food production facility in Switzerland.
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Drone brood as an income
The harvest of drone brood of the western honey bee (Apis mellifera L.) will be studied, documented and the additional income for beekeepers will be assessed. Finally, a model process for different beekeeping systems will be evaluated.
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InnoBUN - Development and application of a multifunctional sourdough in buns
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Off Flavour control in land-based salmon production