Evidence map›Paper›PMID 39583010›Full record

ReviewCurrent pollution reports2025

Exploring the Potential of Syngas Fermentation for Recovery of High-Value Resources: A Comprehensive Review.

Alvaro S Neto, Steven Wainaina, Konstantinos Chandolias, Pawel Piatek, Mohammad J Taherzadeh

Abstract readReview
In one paragraph

Review in Current pollution reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Electroenzymatic COAngewandte Chemie (International ed. in English) · 2026
    Review
  2. Review
  3. Enhancing Gas Fermentation Efficiency via Bioaugmentation withBioengineering (Basel, Switzerland) · 2025
    Article
  4. Growth ofFrontiers in bioengineering and biotechnology · 2025
    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

5 authors.

Alvaro S NetoSwedish Centre for Resource Recovery, University of Borås, Borås, Sweden.
Steven WainainaMillow AB, Gothenburg, Sweden.
Konstantinos ChandoliasDivision of Built Environment, RISE Research Institutes of Sweden, Gothenburg, Sweden.
Pawel PiatekDivision of Built Environment, RISE Research Institutes of Sweden, Gothenburg, Sweden.
Mohammad J TaherzadehSwedish Centre for Resource Recovery, University of Borås, Borås, Sweden.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Synthesis gas (syngas) fermentation represents a promising biological method for converting industrial waste gases, particularly carbon monoxide (CO) and carbon dioxide (CO₂) from industrial sources (e.g. steel production or municipal waste gasification), into high-value products such as biofuels, chemicals, and animal feed using acetogenic bacteria. This review identifies and addresses key challenges that hinder the large-scale adoption of this technology, including limitations in gas mass transfer, an incomplete understanding of microbial metabolic pathways, and suboptimal bioprocess conditions. Our findings emphasize the critical role of microbial strain selection and bioprocess optimization to enhance productivity and scalability, with a focus on utilizing diverse microbial consortia and efficient reactor systems. By examining recent advancements in microbial conditioning, operational parameters, and reactor design, this study provides actionable insights to improve syngas fermentation efficiency, suggesting pathways towards overcoming current technical barriers for its broader industrial application beyond the production of bulk chemicals.

Indexed as

BiofuelsConditioning methodsIndustrial scaleMixed bacteriaProcess developmentSyngas fermentation

Identifiers

PMID39583010
PMCPMC11579188

What OpenQuestion holds

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LicenceCC BY
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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.