Evidence map›Paper›PMID 38277110›Full record

ArticleEnvironmental science and pollution research international2024

Removal efficiencies of seven frequently detected antibiotics and related physiological responses in three microalgae species.

Gabriele Frascaroli, Joanne Roberts, Colin Hunter, Ania Escudero

Open access · hybridAbstract read
In one paragraph

Article in Environmental science and pollution research international, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
2.4field-weighted citation impact, top 12% 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

5 citing papers in PubMed, 18 citations in OpenAlex.

  1. Article
  2. Article
  3. Frontiers in microbiology · 2026
    Article
  4. Article
  5. 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

4 authors at 1 institution in 1 country.

Gabriele FrascaroliDepartment of Civil Engineering and Environmental Management, School of Computing, Engineering and Built Environment, Glasgow Caledonian University, Cowcaddens Road, Glasgow, G4 0BA, UK. gabriele.frascaroli@gcu.ac.uk.ORCID http://orcid.org/0000-0002-7743-2210
Joanne RobertsDepartment of Applied Science, School of Computing, Engineering and Built Environment, Glasgow Caledonian University, Cowcaddens Road, Glasgow, G4 0BA, UK.
Colin HunterDepartment of Civil Engineering and Environmental Management, School of Computing, Engineering and Built Environment, Glasgow Caledonian University, Cowcaddens Road, Glasgow, G4 0BA, UK.
Ania EscuderoDepartment of Civil Engineering and Environmental Management, School of Computing, Engineering and Built Environment, Glasgow Caledonian University, Cowcaddens Road, Glasgow, G4 0BA, UK.
Glasgow Caledonian University · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The main objective of this study is to investigate the effect of mixtures of seven widely used human antibiotics (ciprofloxacin, clarithromycin, erythromycin, metronidazole, ofloxacin, sulfamethoxazole, and trimethoprim) on the growth, pH, pigment production, and antibiotics removal of three microalgal species (Auxenochlorella protothecoides, Tetradesmus obliquus, and Chlamydomonas acidophila). Batch assays were conducted with media with antibiotic mixtures at 10, 50, and 100 μg L

Indexed as

MicroalgaeWater Pollutants, ChemicalAnti-Bacterial AgentsCiprofloxacinClarithromycinHumansMetronidazoleOfloxacinSulfamethoxazoleAnti-Bacterial AgentsCiprofloxacinClarithromycinMetronidazoleOfloxacinSulfamethoxazoleWater Pollutants, ChemicalActive removalBiosorptionEmerging contaminantsMicroalgaePhycoremediationPigment overproduction

Identifiers

PMID38277110
PMCPMC10881744
OpenAlexW4391253294

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.