Evidence map›Paper›PMID 36619879›Full record

ReviewEngineering in life sciences2023

Artificial microbial consortia for bioproduction processes.

Fabian Mittermeier, Miriam Bäumler, Prasika Arulrajah, José de Jesús García Lima, Sebastian Hauke, Anna Stock, Dirk Weuster-Botz

Abstract readReview
In one paragraph

Review in Engineering in life sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed, 1 pooled it
–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

33 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  15. Immobilization and Monitoring ofMicroorganisms · 2025
    Article
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  18. Optimization and comparative study ofOpen life sciences · 2025
    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.

Fabian MittermeierDepartment of Energy and Process Engineering TUM School of Engineering and Design Chair of Biochemical Engineering Technical University of Munich Garching Germany.
Miriam BäumlerDepartment of Energy and Process Engineering TUM School of Engineering and Design Chair of Biochemical Engineering Technical University of Munich Garching Germany.
Prasika ArulrajahTUM School of Engineering and Design Technical University of Munich Garching Germany.
José de Jesús García LimaTUM School of Engineering and Design Technical University of Munich Garching Germany.
Sebastian HaukeTUM School of Engineering and Design Technical University of Munich Garching Germany.
Anna StockTUM School of Engineering and Design Technical University of Munich Garching Germany.
Dirk Weuster-BotzDepartment of Energy and Process Engineering TUM School of Engineering and Design Chair of Biochemical Engineering Technical University of Munich Garching Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The application of artificial microbial consortia for biotechnological production processes is an emerging field in research as it offers great potential for the improvement of established as well as the development of novel processes. In this review, we summarize recent highlights in the usage of various microbial consortia for the production of, for example, platform chemicals, biofuels, or pharmaceutical compounds. It aims to demonstrate the great potential of co-cultures by employing different organisms and interaction mechanisms and exploiting their respective advantages. Bacteria and yeasts often offer a broad spectrum of possible products, fungi enable the utilization of complex lignocellulosic substrates via enzyme secretion and hydrolysis, and microalgae can feature their abilities to fixate CO

Indexed as

artificial consortiabioproduction processescell‐to‐cell interactionsco‐cultivation

Identifiers

PMID36619879
PMCPMC9815086

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.