Please use this identifier to cite or link to this item: doi:10.22028/D291-40282
Title: Flavour by design: food-grade lactic acid bacteria improve the volatile aroma spectrum of oat milk, sunflower seed milk, pea milk, and faba milk towards improved flavour and sensory perception
Author(s): Tangyu, Muzi
Fritz, Michel
Tan, Jan Patrick
Ye, Lijuan
Bolten, Christoph J.
Bogicevic, Biljana
Wittmann, Christoph
Language: English
Title: Microbial Cell Factories
Volume: 22
Issue: 1
Publisher/Platform: BMC
Year of Publication: 2023
Free key words: Lactic acid bacteria
Fermentation
Flavour
Of-favour
Legumes
Plant-based milk
Oat milk
Sunfower seed milk
Pea milk
Faba milk
GC‒MS
Volatiles
Odour activity
DDC notations: 500 Science
Publikation type: Journal Article
Abstract: Background The global market of plant-based milk alternatives is continually growing. Flavour and taste have a key impact on consumers’ selection of plant-based beverages. Unfortunately, natural plant milks have only limited acceptance. Their typically bean-like and grassy notes are perceived as“of-favours” by consumers, while preferred fruity, buttery, and cheesy notes are missing. In this regard, fermentation of plant milk by lactic acid bacteria (LAB) appears to be an appealing option to improve aroma and taste. Results In this work, we systematically studied LAB fermentation of plant milk. For this purpose, we evaluated 15 food-approved LAB strains to ferment 4 diferent plant milks: oat milk (representing cereal-based milk), sunfower seed milk (representing seed-based milk), and pea and faba milk (representing legume-based milk). Using GC‒MS analysis, favour changes during anaerobic fermentations were studied in detail. These revealed species-related and plant milkrelated diferences and highlighted several well-performing strains delivered a range of benefcial favour changes. A developed data model estimated the impact of individual favour compounds using sensory scores and predicted the overall favour note of fermented and nonfermented samples. Selected sensory perception tests validated the model and allowed us to bridge compositional changes in the favour profle with consumer response. Conclusion Specifc strain-milk combinations provided quite diferent favour notes. This opens further developments towards plant-based products with improved favour, including cheesy and buttery notes, as well as other innovative products in the future. S. thermophilus emerged as a well-performing strain that delivered preferred buttery notes in all tested plant milks. The GC‒MS-based data model was found to be helpful in predicting sensory perception, and its further refnement and application promise enhanced potential to upgrade fermentation approaches to favour-by-design strategies.
DOI of the first publication: 10.1186/s12934-023-02147-6
URL of the first publication: https://microbialcellfactories.biomedcentral.com/articles/10.1186/s12934-023-02147-6
Link to this record: urn:nbn:de:bsz:291--ds-402825
hdl:20.500.11880/36195
http://dx.doi.org/10.22028/D291-40282
ISSN: 1475-2859
Date of registration: 8-Aug-2023
Description of the related object: Supplementary Information
Related object: https://static-content.springer.com/esm/art%3A10.1186%2Fs12934-023-02147-6/MediaObjects/12934_2023_2147_MOESM1_ESM.xlsx
https://static-content.springer.com/esm/art%3A10.1186%2Fs12934-023-02147-6/MediaObjects/12934_2023_2147_MOESM2_ESM.docx
Faculty: NT - Naturwissenschaftlich- Technische Fakultät
Department: NT - Biowissenschaften
Professorship: NT - Prof. Dr. Christoph Wittmann
Collections:SciDok - Der Wissenschaftsserver der Universität des Saarlandes

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