Evidence map›Paper›PMID 38992288›Full record

ArticleScientific reports2024

Performance of four different microalgae-based technologies in antibiotics removal under multiple concentrations of antibiotics and strigolactone analogue GR24 administration.

Jing Huang, Zhengfang Wang, Chunzhi Zhao, Huayun Yang, Lei Niu

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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.

Jing HuangSchool of Mathematics and Statistics, Donghua University, Shanghai, 201620, People's Republic of China.
Zhengfang WangSuzhou Institute of Trade & Commerce, Suzhou, 215009, People's Republic of China.
Chunzhi ZhaoSchool of Ecological Technology & Engineering, Shanghai Institute of Technology, Shanghai, 201400, People's Republic of China.
Huayun YangSchool of Engineering, Hangzhou Normal University, Hangzhou, 311121, People's Republic of China.
Lei NiuSchool of Mathematics and Statistics, Donghua University, Shanghai, 201620, People's Republic of China. lei.niu@dhu.edu.cn.

Funding

Fundamental Research Funds for the Central Universities 2232023A-02National Natural Science Foundation of China 31971514, 31670511Science and Technology Program of Suzhou 2023SS04
6 · The paper itself

Abstract

The formation of symbionts by using different combinations of endophytic bacteria, microalgae, and fungi to purify antibiotics-containing wastewater is an effective and promising biomaterial technology. As it enhances the mixed antibiotics removal performance of the bio-system, this technology is currently extensively studied. Using exogenous supplementation of various low concentrations of the phytohormone strigolactone analogue GR24, the removal of various antibiotics from simulated wastewater was examined. The performances of Chlorella vulgaris monoculture, activated sludge-C. vulgaris-Clonostachys rosea, Bacillus licheniformis-C. vulgaris-C. rosea, and endophytic bacteria (S395-2)-C. vulgaris-C. rosea co-culture systems were systematically compared. Their removal capacities for tetracycline, oxytetracycline, and chlortetracycline antibiotics from simulated wastewater were assessed. Chlorella vulgaris-endophytic bacteria-C. rosea co-cultures achieved the best performance under 0.25 mg L

Indexed as

Anti-Bacterial AgentsMicroalgaeBiodegradation, EnvironmentalChlorella vulgarisCoculture TechniquesHeterocyclic Compounds, 3-RingLactonesSewageWastewaterWater Pollutants, ChemicalWater PurificationAnti-Bacterial AgentsGR24 strigolactoneHeterocyclic Compounds, 3-RingLactonesSewageWastewaterWater Pollutants, ChemicalAntibiotics removalEndophytic bacteriaMicroalgae-bacteria-fungi consortiumPhytohormoneSwine wastewater

Identifiers

PMID38992288
PMCPMC11239813

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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.