Evidence map›Paper›PMID 39292263›Full record

ArticleApplied microbiology and biotechnology2024

Co-utilization of microalgae and heterotrophic microorganisms improves wastewater treatment efficiency.

Miiku Takahashi, Yukino Karitani, Ryosuke Yamada, Takuya Matsumoto, Hiroyasu Ogino

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Applied microbiology and biotechnology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. Review
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.

Miiku TakahashiDepartment of Chemical Engineering, Osaka Metropolitan University, 1-1 Gakuen-Cho, Naka-Ku, Sakai, Osaka, 599-8531, Japan.
Yukino KaritaniDepartment of Chemical Engineering, Osaka Metropolitan University, 1-1 Gakuen-Cho, Naka-Ku, Sakai, Osaka, 599-8531, Japan.
Ryosuke YamadaDepartment of Chemical Engineering, Osaka Metropolitan University, 1-1 Gakuen-Cho, Naka-Ku, Sakai, Osaka, 599-8531, Japan. ryamada@omu.ac.jp.ORCID http://orcid.org/0000-0003-3820-7501
Takuya MatsumotoDepartment of Chemical Engineering, Osaka Metropolitan University, 1-1 Gakuen-Cho, Naka-Ku, Sakai, Osaka, 599-8531, Japan.
Hiroyasu OginoDepartment of Chemical Engineering, Osaka Metropolitan University, 1-1 Gakuen-Cho, Naka-Ku, Sakai, Osaka, 599-8531, Japan.

Funding

Japan Society for the Promotion of Science JP22H03803
6 · The paper itself

Abstract

Wastewater treatment using the activated sludge method requires a large amount of electricity for aeration. Therefore, wastewater treatment using co-culture systems of microalgae and heterotrophic microorganisms, which do not require aeration, has attracted attention as an energy-saving alternative to the method. In this study, we investigated different combinations of microalgae and heterotrophic microorganisms to improve the efficiency of wastewater treatment. Three types of microalgae and five heterotrophic microorganisms were used in combination for wastewater treatment. The combination of Chlamydomonas reinhardtii NIES-2238 and Saccharomyces cerevisiae SH-4 showed the highest wastewater treatment efficiency. Using this combination for artificial wastewater treatment, the removal rates of total organic carbon, PO4

Indexed as

Chlamydomonas reinhardtiiHeterotrophic ProcessesMicroalgaeSaccharomyces cerevisiaeWastewaterWater PurificationAmmonium CompoundsCoculture TechniquesGene Expression ProfilingPhosphatesSewageWaste Disposal, FluidAmmonium CompoundsPhosphatesSewageWastewaterGreen algaeHeterotrophic microorganismsMicroalgaeWastewater treatmentYeast

Identifiers

PMID39292263
PMCPMC11411010

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.