Evidence map›Paper›PMID 37479998›Full record

ArticleMicrobial cell factories2023

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.

Muzi Tangyu, Michel Fritz, Jan Patrick Tan, Lijuan Ye, Christoph J Bolten, Biljana Bogicevic, Christoph Wittmann

Open access · goldAbstract read
In one paragraph

Article in Microbial cell factories, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
8.7field-weighted citation impact, top 2% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

15 citing papers in PubMed, 43 citations in OpenAlex.

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  12. Foods (Basel, Switzerland) · 2024
    Article
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  14. Sensoproteomic Characterization ofJournal of agricultural and food chemistry · 2024
    Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 3 institutions in 2 countries.

Muzi TangyuInstitute of Systems Biotechnology, Saarland University, Saarbrücken, Germany.
Michel FritzInstitute of Systems Biotechnology, Saarland University, Saarbrücken, Germany.
Jan Patrick TanNestlé Research Center, Lausanne, Switzerland.
Lijuan YeNestlé Research Center, Lausanne, Switzerland.
Christoph J BoltenNestlé Research Center, Lausanne, Switzerland.
Biljana BogicevicNestlé Research Center, Lausanne, Switzerland.
Christoph WittmannInstitute of Systems Biotechnology, Saarland University, Saarbrücken, Germany. christoph.wittmann@uni-saarland.de.
Nestlé (Switzerland) · CHSaarland University · DENestlé (Germany) · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe 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 "off-flavours" 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.

resultsIn this work, we systematically studied LAB fermentation of plant milk. For this purpose, we evaluated 15 food-approved LAB strains to ferment 4 different plant milks: oat milk (representing cereal-based milk), sunflower seed milk (representing seed-based milk), and pea and faba milk (representing legume-based milk). Using GC‒MS analysis, flavour changes during anaerobic fermentations were studied in detail. These revealed species-related and plant milk-related differences and highlighted several well-performing strains delivered a range of beneficial flavour changes. A developed data model estimated the impact of individual flavour compounds using sensory scores and predicted the overall flavour note of fermented and nonfermented samples. Selected sensory perception tests validated the model and allowed us to bridge compositional changes in the flavour profile with consumer response.

conclusionSpecific strain-milk combinations provided quite different flavour notes. This opens further developments towards plant-based products with improved flavour, 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 refinement and application promise enhanced potential to upgrade fermentation approaches to flavour-by-design strategies.

Indexed as

HelianthusTasteAvenaFlavoring AgentsOdorantsPerceptionPisum sativumSeedsFlavoring AgentsFaba milkFermentationFlavourGC‒MSLactic acid bacteriaLegumesOat milkOdour activityOff-flavourPea milkPlant-based milkSunflower seed milkVolatiles

Identifiers

PMID37479998
PMCPMC10362582
OpenAlexW4385064239

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.