Evidence map›Paper›PMID 33801700›Full record

ReviewMicroorganisms2021

The Anaerobic Fungi: Challenges and Opportunities for Industrial Lignocellulosic Biofuel Production.

Luke M G Saye, Tejas A Navaratna, James P J Chong, Michelle A O'Malley, Michael K Theodorou, Matthew Reilly

Abstract readReview
In one paragraph

Review in Microorganisms, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing 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

24 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Review
  6. Review
  7. Article
  8. Review
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Review
  17. Article
  18. Article
  19. Article
  20. 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

6 authors.

Luke M G SayeDepartment of Biology, University of York, York YO10 5DD, UK.
Tejas A NavaratnaDepartment of Chemical Engineering, University of California, Santa Barbara, CA 93106, USA.ORCID 0000-0003-2976-0137
James P J ChongDepartment of Biology, University of York, York YO10 5DD, UK.ORCID 0000-0001-9447-7421
Michelle A O'MalleyDepartment of Chemical Engineering, University of California, Santa Barbara, CA 93106, USA.ORCID 0000-0002-6065-8491
Michael K TheodorouDepartment of Agriculture and the Environment, Harper Adams University, Newport TF10 8NB, UK.ORCID 0000-0002-9084-6573
Matthew ReillyDepartment of Biology, University of York, York YO10 5DD, UK.

Funding

Engineering and Physical Sciences Research Council EP/S001581/1Royal Society IF160022U.S. Department of Energy DE-SC0020420
6 · The paper itself

Abstract

Lignocellulose is a promising feedstock for biofuel production as a renewable, carbohydrate-rich and globally abundant source of biomass. However, challenges faced include environmental and/or financial costs associated with typical lignocellulose pretreatments needed to overcome the natural recalcitrance of the material before conversion to biofuel. Anaerobic fungi are a group of underexplored microorganisms belonging to the early diverging phylum Neocallimastigomycota and are native to the intricately evolved digestive system of mammalian herbivores. Anaerobic fungi have promising potential for application in biofuel production processes due to the combination of their highly effective ability to hydrolyse lignocellulose and capability to convert this substrate to H

Indexed as

anaerobic fungibioethanolbiofuelbiohydrogendark fermentationlignocellulosemethanogenesismicrobial electrolysis cellphotofermentationpretreatment

Identifiers

PMID33801700
PMCPMC8065543

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.