Evidence map›Paper›PMID 39519248›Full record

ArticleInternational journal of molecular sciences2024

Nanomaterial Texture-Based Machine Learning of Ciprofloxacin Adsorption on Nanoporous Carbon.

Maike Käärik, Nadežda Krjukova, Uko Maran, Mare Oja, Geven Piir, Jaan Leis

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in International journal of molecular sciences, 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. 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.

Maike KäärikInstitute of Chemistry, University of Tartu, Ravila 14a, 50411 Tartu, Estonia.
Nadežda KrjukovaInstitute of Chemistry, University of Tartu, Ravila 14a, 50411 Tartu, Estonia.
Uko MaranInstitute of Chemistry, University of Tartu, Ravila 14a, 50411 Tartu, Estonia.ORCID 0000-0003-2506-0934
Mare OjaInstitute of Chemistry, University of Tartu, Ravila 14a, 50411 Tartu, Estonia.
Geven PiirInstitute of Chemistry, University of Tartu, Ravila 14a, 50411 Tartu, Estonia.ORCID 0000-0002-7381-2689
Jaan LeisInstitute of Chemistry, University of Tartu, Ravila 14a, 50411 Tartu, Estonia.

Funding

Estonian Research Council PRG1509
6 · The paper itself

Abstract

Drug substances in water bodies and groundwater have become a significant threat to the surrounding environment. This study focuses on the ability of the nanoporous carbon materials to remove ciprofloxacin from aqueous solutions under specific experimental conditions and on the development of the mathematical model that would allow describing the molecular interactions of the adsorption process and calculating the adsorption capacity of the material. Thus, based on the adsorption measurements of the 87 carbon materials, it was found that, depending on the porosity and pore size distribution, adsorption capacity values varied between 55 and 495 mg g

Indexed as

CarbonCiprofloxacinMachine LearningNanoporesNanostructuresAdsorptionAnti-Bacterial AgentsPorosityWater Pollutants, ChemicalWater PurificationAnti-Bacterial AgentsCarbonCiprofloxacinWater Pollutants, Chemicaladsorptionantibioticsciprofloxacinmachine learningnanoporous carbonQnSPRtexture of nanomaterial

Identifiers

PMID39519248
PMCPMC11546269

What OpenQuestion holds

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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.