Evidence map›Paper›PMID 40936953›Full record

ArticleRSC advances2025

A low-cost cellulose-based composite as an efficient solid phase extraction sorbent for the determination of antibiotics in water.

Damilare Olorunnisola, Chidinma G Olorunnisola, Christina Günter, Chukwunonso P Okoli, Martins O Omorogie, Emmanuel I Unuabonah, Harshadrai M Rawel, Andreas Taubert

Abstract read
In one paragraph

Article in RSC advances, 2025. 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. Article
  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

8 authors.

Damilare OlorunnisolaInstitute of Chemistry, University of Potsdam D-14476 Potsdam Germany ataubert@uni-potsdam.de.ORCID https://orcid.org/0000-0003-3815-1747
Chidinma G OlorunnisolaInstitute of Chemistry, University of Potsdam D-14476 Potsdam Germany ataubert@uni-potsdam.de.ORCID https://orcid.org/0000-0002-1293-9811
Christina GünterInstitute of Geosciences, University of Potsdam D-14476 Potsdam Germany.
Chukwunonso P OkoliAfrican Centre of Excellence for Water and Environment Research (ACEWATER), Redeemer's University PMB 230 Ede Osun State Nigeria.
Martins O OmorogieAfrican Centre of Excellence for Water and Environment Research (ACEWATER), Redeemer's University PMB 230 Ede Osun State Nigeria.
Emmanuel I UnuabonahAfrican Centre of Excellence for Water and Environment Research (ACEWATER), Redeemer's University PMB 230 Ede Osun State Nigeria.ORCID https://orcid.org/0000-0001-9854-3924
Harshadrai M RawelInstitute of Nutritional Science, University of Potsdam 14558 Nuthetal Potsdam Germany rawel@uni-potsdam.de.ORCID https://orcid.org/0000-0003-2768-1531
Andreas TaubertInstitute of Chemistry, University of Potsdam D-14476 Potsdam Germany ataubert@uni-potsdam.de.ORCID https://orcid.org/0000-0002-9329-0072

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pharmaceutical pollutants in water pose significant environmental and public health risks, particularly in regions with limited monitoring capabilities. This study presents a low-cost, cellulose-based solid-phase extraction (SPE) adsorbent (C/PVPP/MDI) for the determination of five antibiotics: tetracycline (TET), ampicillin (AMP), sulfamethoxazole (SMX), penicillin V (PEN V), and chloramphenicol (CAP) in water. The adsorbent was synthesized by cross-linking cellulose with poly(vinyl-polypyrrolidone) (PVPP) and 4,4-methylenebisphenyldiisocyanate (MDI). It exhibited excellent analytical performance with low detection limits (0.03-2.07 ng L

Identifiers

PMID40936953
PMCPMC12422246

What OpenQuestion holds

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LicenceCC BY
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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.