Evidence map›Paper›PMID 36643531›Full record

ArticleACS omega2023

Development of a Plasmonic Sensor for a Chemotherapeutic Agent Cabazitaxel.

Süleyman Aşır, Buse Uğur, Mitra Jalilzadeh, Ilgım Göktürk, Deniz Türkmen

Abstract read
In one paragraph

Article in ACS omega, 2023. 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. Review
  2. Review
  3. 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

5 authors.

Süleyman AşırDepartment of Materials Science and Nanotechnology Engineering, Near East University, Mersin 10, Nicosia99138, North Cyprus, Turkey.
Buse UğurDepartment of Biomedical Engineering, Near East University, Mersin 10, Nicosia99138, North Cyprus, Turkey.
Mitra JalilzadehDepartment of Chemistry, Faculty of Science, Hacettepe University, Beytepe, Ankara06800, Turkey.
Ilgım GöktürkDepartment of Chemistry, Faculty of Science, Hacettepe University, Beytepe, Ankara06800, Turkey.
Deniz TürkmenDepartment of Chemistry, Faculty of Science, Hacettepe University, Beytepe, Ankara06800, Turkey.ORCID https://orcid.org/0000-0003-0161-172X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Drug dosage is a crucial subject in both human and animal treatment. Administering less drug dosage may prevent treatment or make it less effective, and high drug dosage may cause a heightened risk of adverse effects, or in some cases, cost a patient's life. Also, even when the dosage is administered carefully, metabolic differences may cause different effects on different patients. Because of these considerations, monitoring drug dosage in the body is a critical and significant requirement in the health industry. Within the scope of this study, a reusable surface plasmon resonance (SPR) chip with fast response, high selectivity, and no pretreatment is produced for the chemotherapeutic agent cabazitaxel. A cabazitaxel-imprinted nanofilm was synthesized on the sensor chip surface and characterized by atomic force microscopy, ellipsometry, and contact angle measurements. Standard cabazitaxel solution and an artificial plasma sample were used for the kinetic analysis. Docetaxel, methylprednisolone, and dexamethasone were analyzed for their selectivity experiment. In addition, the repeatability and storage durability of the sensor were also evaluated. As a result of the adsorption studies, the limit of detection and limit of quantitation values were found to be 0.012 and 0.036 μg/mL, respectively. High-performance liquid chromatography analysis was used to validate the response of the cabazitaxel-imprinted sensor.

Identifiers

PMID36643531
PMCPMC9835620

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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.