Evidence map›Paper›PMID 39139239›Full record

ArticleRSC advances2024

Utilizing a graphene quantum dot/hydrogel nanocomposite for determination of cisplatin in urine samples.

Seyed Mohammad Hossein Pourmand, Nastaran Hashemzadeh, Jafar Soleymani, Abolghasem Jouyban, Yosra Vaez-Gharamaleki, Elaheh Rahimpour

Abstract read
In one paragraph

Article in RSC advances, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Seyed Mohammad Hossein PourmandPharmaceutical Analysis Research Center and Faculty of Pharmacy, Tabriz University of Medical Sciences Tabriz Iran rahimpour_e@yahoo.com.
Nastaran HashemzadehPharmaceutical Analysis Research Center and Faculty of Pharmacy, Tabriz University of Medical Sciences Tabriz Iran rahimpour_e@yahoo.com.
Jafar SoleymaniPharmaceutical Analysis Research Center and Faculty of Pharmacy, Tabriz University of Medical Sciences Tabriz Iran rahimpour_e@yahoo.com.ORCID https://orcid.org/0000-0002-8316-5104
Abolghasem JouybanPharmaceutical Analysis Research Center and Faculty of Pharmacy, Tabriz University of Medical Sciences Tabriz Iran rahimpour_e@yahoo.com.ORCID https://orcid.org/0000-0002-4670-2783
Yosra Vaez-GharamalekiHematology-Oncology Research Center, Tabriz University of Medical Sciences Tabriz Iran.
Elaheh RahimpourPharmaceutical Analysis Research Center and Faculty of Pharmacy, Tabriz University of Medical Sciences Tabriz Iran rahimpour_e@yahoo.com.ORCID https://orcid.org/0000-0002-4037-9436

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Currently, the growth and development of cancer are rising in the world, and as a result, the use of anticancer drugs such as cisplatin has also increased. Considering that the therapeutic index of anticancer drugs is low, it is essential to design and develop an accurate and correct method to analyze and determine the concentration of anticancer drugs in the biological samples. In this study, graphene quantum dots/hydrogel nanocomposite was used to determine cisplatin concentration in urine samples. A three-dimensional network of polyvinyl alcohol hydrogel was composited with graphene quantum dots and used as a probe for the determination of cisplatin. The morphology and characterization of the probe were studied using high-resolution transmission electron microscopy, dynamic light scattering, energy-dispersive X-ray spectroscopy, and Fourier transform infrared spectroscopy. This platform showed a linear calibration curve in the range from 4.3 to 25.0 ng mL

Identifiers

PMID39139239
PMCPMC11320057

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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.