Evidence map›Paper›PMID 31993090›Full record

ArticleBiotechnology for biofuels2020

Improved simultaneous co-fermentation of glucose and xylose by

Phuong Hoang Nguyen Tran, Ja Kyong Ko, Gyeongtaek Gong, Youngsoon Um, Sun-Mi Lee

Open access · goldAbstract read
In one paragraph

Article in Biotechnology for biofuels, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
5.7field-weighted citation impact, top 3% of its field
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

20 citing papers in PubMed, 98 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
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  5. Article
  6. Article
  7. Frontiers in bioengineering and biotechnology · 2024
    Review
  8. Review
  9. Article
  10. Review
  11. Article
  12. Production of Hexanol as the Main Product Through Syngas Fermentation byFrontiers in bioengineering and biotechnology · 2022
    Article
  13. Glucose/Xylose Co-FermentingFrontiers in bioengineering and biotechnology · 2022
    Article
  14. Article
  15. Deletion of theMicrobiology spectrum · 2021
    Article
  16. Article
  17. Review
  18. PeerJ · 2021
    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

5 authors at 2 institutions in 2 countries.

Phuong Hoang Nguyen Tran1Clean Energy Research Center, Korea Institute of Science and Technology (KIST), Seoul, 02792 Republic of Korea.
Ja Kyong Ko1Clean Energy Research Center, Korea Institute of Science and Technology (KIST), Seoul, 02792 Republic of Korea.
Gyeongtaek Gong1Clean Energy Research Center, Korea Institute of Science and Technology (KIST), Seoul, 02792 Republic of Korea.
Youngsoon Um1Clean Energy Research Center, Korea Institute of Science and Technology (KIST), Seoul, 02792 Republic of Korea.
Sun-Mi Lee1Clean Energy Research Center, Korea Institute of Science and Technology (KIST), Seoul, 02792 Republic of Korea.ORCID 0000-0002-5303-5464
Korea Institute of Science and Technology · KRKorea University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLignocellulosic biorefinery offers economical and sustainable production of fuels and chemicals.

resultsIn this study, we developed a powerful mixed-sugar co-fermenting strain of

conclusionsOwing to its superior co-fermentation performance and ability for further engineering, XUSEA has potential as a platform in a lignocellulosic biorefinery toward realizing a more economical and sustainable process for large-scale bioethanol production.

Indexed as

BioethanolEfficient co-fermentationLignocellulosic biorefinerySaccharomyces cerevisiaeXylose isomerase

Identifiers

PMID31993090
PMCPMC6975041
OpenAlexW3007535093

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.