Evidence map›Paper›PMID 37653020›Full record

ArticleCommunications chemistry2023

Using surface plasmon resonance, capillary electrophoresis and diffusion-ordered NMR spectroscopy to study drug release kinetics.

Alena Libánská, Tomáš Špringer, Lucie Peštová, Kevin Kotalík, Rafał Konefał, Alice Šimonová, Tomáš Křížek, Jiří Homola, Eva Randárová, Tomáš Etrych

Abstract read
In one paragraph

Article in Communications chemistry, 2023. 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
–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

5 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Review
  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

10 authors.

Alena LibánskáInstitute of Macromolecular Chemistry, Czech Academy of Sciences, Prague, Czech Republic.ORCID http://orcid.org/0000-0002-3855-5082
Tomáš ŠpringerInstitute of Photonics and Electronics, Czech Academy of Sciences, Prague, Czech Republic.
Lucie PeštováInstitute of Photonics and Electronics, Czech Academy of Sciences, Prague, Czech Republic.
Kevin KotalíkInstitute of Macromolecular Chemistry, Czech Academy of Sciences, Prague, Czech Republic.
Rafał KonefałInstitute of Macromolecular Chemistry, Czech Academy of Sciences, Prague, Czech Republic.
Alice ŠimonováDepartment of Analytical Chemistry, Faculty of Science, Charles University, Prague, Czech Republic.ORCID http://orcid.org/0000-0001-9256-3422
Tomáš KřížekDepartment of Analytical Chemistry, Faculty of Science, Charles University, Prague, Czech Republic.
Jiří HomolaInstitute of Photonics and Electronics, Czech Academy of Sciences, Prague, Czech Republic.
Eva RandárováInstitute of Macromolecular Chemistry, Czech Academy of Sciences, Prague, Czech Republic.
Tomáš EtrychInstitute of Macromolecular Chemistry, Czech Academy of Sciences, Prague, Czech Republic. etrych@imc.cas.cz.ORCID http://orcid.org/0000-0001-5908-5182

Funding

Grantová Agentura České Republiky (Grant Agency of the Czech Republic) 19-00956YMinisterstvo Školství, Mládeže a Tělovýchovy (Ministry of Education, Youth and Sports) LX22NPO5102Ministerstvo Zdravotnictví Ceské Republiky (Ministry of Health of the Czech Republic) NU20-08-00255Univerzita Karlova v Praze (Charles University) SVV260690
6 · The paper itself

Abstract

Nanomedicines, including polymer nanocarriers with controlled drug release, are considered next-generation therapeutics with advanced therapeutic properties and reduced side effects. To develop safe and efficient nanomedicines, it is crucial to precisely determine the drug release kinetics. Herein, we present application of analytical methods, i.e., surface plasmon resonance biosensor technology (SPR), capillary electrophoresis, and

Identifiers

PMID37653020
PMCPMC10471694

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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.