Evidence map›Paper›PMID 25413210›Full record

ArticleJournal of industrial microbiology & biotechnology2015

Assessing the potential of wild yeasts for bioethanol production.

Stefan Ruyters, Vaskar Mukherjee, Kevin J Verstrepen, Johan M Thevelein, Kris A Willems, Bart Lievens

Abstract read
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In one paragraph

Article in Journal of industrial microbiology & biotechnology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
–field-weighted citation impact
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

16 citing papers in PubMed.

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  6. Using wild yeasts to modulate the aroma profile of low-alcoholic meads.Brazilian journal of microbiology : [publication of the Brazilian Society for Microbiology] · 2022
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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

6 authors.

Stefan RuytersLaboratory for Process Microbial Ecology and Bioinspirational Management, Department of Microbial and Molecular Systems (M2S), Cluster for Bioengineering Technology (CBeT), KU Leuven, Campus De Nayer, Fortsesteenweg 30A, 2860, Sint-Katelijne-Waver, Belgium, stefan.ruyters@kuleuven.be.
Vaskar Mukherjee
Kevin J Verstrepen
Johan M Thevelein
Kris A Willems
Bart Lievens

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bioethanol fermentations expose yeasts to a new, complex and challenging fermentation medium with specific inhibitors and sugar mixtures depending on the type of carbon source. It is, therefore, suggested that the natural diversity of yeasts should be further exploited in order to find yeasts with good ethanol yield in stressed fermentation media. In this study, we screened more than 50 yeast isolates of which we selected five isolates with promising features. The species Candida bombi, Wickerhamomyces anomalus and Torulaspora delbrueckii showed better osmo- and hydroxymethylfurfural tolerance than Saccharomyces cerevisiae. However, S. cerevisiae isolates had the highest ethanol yield in fermentation experiments mimicking high gravity fermentations (25 % glucose) and artificial lignocellulose hydrolysates (with a myriad of inhibitors). Interestingly, among two tested S. cerevisiae strains, a wild strain isolated from an oak tree performed better than Ethanol Red, a S. cerevisiae strain which is currently commonly used in industrial bioethanol fermentations. Additionally, a W. anomalus strain isolated from sugar beet thick juice was found to have a comparable ethanol yield, but needed longer fermentation time. Other non-Saccharomyces yeasts yielded lower ethanol amounts.

Indexed as

BiofuelsCandidaEthanolFermentationLigninPhenotypeSaccharomyces cerevisiaeSaccharomycetalesBiofuelsEthanolLigninlignocellulose

Identifiers

What OpenQuestion holds

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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.