Evidence map›Paper›PMID 28367229›Full record

ArticleBiotechnology for biofuels2017

Robust, high-productivity phototrophic carbon capture at high pH and alkalinity using natural microbial communities.

Christine E Sharp, Sydney Urschel, Xiaoli Dong, Allyson L Brady, Greg F Slater, Marc Strous

Abstract read
In one paragraph

Article in Biotechnology for biofuels, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

21 citing papers in PubMed.

  1. Applied and environmental microbiology · 2025
    Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Direct capture and conversion of COBiotechnology and bioengineering · 2019
    Article
  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.

Christine E SharpDepartment of Geosciences, University of Calgary, 2500 University Drive NW, EEEL 509, Calgary, AB T2N 1N4 Canada.
Sydney UrschelDepartment of Geosciences, University of Calgary, 2500 University Drive NW, EEEL 509, Calgary, AB T2N 1N4 Canada.
Xiaoli DongDepartment of Geosciences, University of Calgary, 2500 University Drive NW, EEEL 509, Calgary, AB T2N 1N4 Canada.
Allyson L BradySchool of Geography and Earth Science, McMaster University, Hamilton, ON Canada.
Greg F SlaterSchool of Geography and Earth Science, McMaster University, Hamilton, ON Canada.
Marc StrousDepartment of Geosciences, University of Calgary, 2500 University Drive NW, EEEL 509, Calgary, AB T2N 1N4 Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBioenergy with carbon capture and storage (BECCS) has come to be seen as one of the most viable technologies to provide the negative carbon dioxide emissions needed to constrain global temperatures. In practice, algal biotechnology is the only form of BECCS that could be realized at scale without compromising food production. Current axenic algae cultivation systems lack robustness, are expensive and generally have marginal energy returns.

resultsHere it is shown that microbial communities sampled from alkaline soda lakes, grown as biofilms at high pH (up to 10) and high alkalinity (up to 0.5 kmol m

conclusionFrequent harvesting and red light were the key factors that governed the assembly of a stable and productive microbial community.

Indexed as

Algae biofuelBiofilmMicrobial ecologyMixed-communityPhormidium kuetzingianum

Identifiers

PMID28367229
PMCPMC5372337

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.