Evidence map›Paper›PMID 41697724›Full record

ArticleMicrobial biotechnology2026

Mixed Waste Streams for Bioproduction: Exploring Bacterial Wax Ester Production in Nitrogen-Rich Acidogenic Fermentate.

Laura K Martin, Wei E Huang, Ian P Thompson

Abstract read
In one paragraph

Article in Microbial biotechnology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

3 authors.

Laura K MartinDepartment of Engineering Science, University of Oxford, Oxford, UK.ORCID https://orcid.org/0000-0001-7215-9633
Wei E HuangDepartment of Engineering Science, University of Oxford, Oxford, UK.ORCID https://orcid.org/0000-0003-1302-6528
Ian P ThompsonDepartment of Engineering Science, University of Oxford, Oxford, UK.ORCID https://orcid.org/0000-0002-0532-0885

Funding

Engineering and Physical Sciences Research Council D4T00370-DF04.01Engineering and Physical Sciences Research Council EP/T517811/1
6 · The paper itself

Abstract

Microbial lipids offer a promising alternative to petrochemicals, but high associated costs and low conversion efficiencies pose barriers to their commercialisation. In particular, sugar-based feedstocks are too expensive for the production of commodity chemicals, and recently attention has turned to volatile fatty acids (VFAs) as a cheaper, more widely available carbon source. Acidogenic fermentation can be used to produce high concentrations of VFAs from municipal and agricultural waste. By harnessing metabolically engineered Acinetobacter baylyi ADP1, the suitability of VFAs as sole carbon sources for wax ester (WE) production was investigated. These studies resulted in the highest WE accumulation in ADP1 achieved to date, at 37% of cell dry weight, and the first reported production of bacterial WEs from a raw, mixed waste stream, utilising fermentate as the sole carbon source. WE titres of over 160 mg/L from VFAs were achieved, highlighting the unique benefits of mixed feedstocks typically considered problematic for bioproduction. Finally, the potential advantages of employing fermentates rich in longer chain VFAs are explored. In synthetic media, WE titres up to 190 mg/L were achieved, but translation to fermentate was challenging, emphasising the need for continued research in this area.

Indexed as

AcinetobacterEstersNitrogenWaxesCarbonFatty Acids, VolatileFermentationMetabolic EngineeringCarbonEstersFatty Acids, VolatileNitrogenWaxesacidogenic fermentationanaerobic digestionbioproductionglyoxylate shuntmicrobial lipidsvolatile fatty acidswax esters

Identifiers

PMID41697724
PMCPMC12908686

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.