Evidence map›Paper›PMID 37614794›Full record

ArticleRSC advances2023

Electrochemical sensor based on bio-inspired molecularly imprinted polymer for sofosbuvir detection.

Mahmoud A Soliman, Amr M Mahmoud, Eman S Elzanfaly, Laila E Abdel Fattah

Open access · goldAbstract read
In one paragraph

Article in RSC advances, 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
2.0field-weighted citation impact, top 14% of its field
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, 15 citations in OpenAlex.

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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

4 authors at 2 institutions in 1 country.

Mahmoud A SolimanMisr University for Science and Technology, Faculty of Pharmaceutical Sciences and Drug Manufacturing, Department of Analytical Chemistry 6th of October City 12566 Egypt.
Amr M MahmoudCairo University, Faculty of Pharmacy, Department of Analytical Chemistry Cairo 12613 Egypt amr.bekhet@pharma.cu.edu.eg.ORCID https://orcid.org/0000-0002-7804-6442
Eman S ElzanfalyCairo University, Faculty of Pharmacy, Department of Analytical Chemistry Cairo 12613 Egypt amr.bekhet@pharma.cu.edu.eg.
Laila E Abdel FattahMisr University for Science and Technology, Faculty of Pharmaceutical Sciences and Drug Manufacturing, Department of Analytical Chemistry 6th of October City 12566 Egypt.
Cairo University · EGMisr University for Science and Technology · EG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The electropolymerized molecularly imprinted polymers (MIP) have enabled the utilization of various functional monomers with superior selective recognition of the target analyte template. Methyldopa is an attractive synthetic dopamine analogue which has phenolic, carboxylic, and aminic functional groups. In this research, methyldopa was exploited to fabricate selective MIPs, for the detection of sofosbuvir (SFB), by a simple electropolymerization step onto a disposable pencil graphite electrode (PGE) substrate. The interaction between methyldopa, as a functional monomer, and a template has been investigated experimentally by UV spectroscopy. A polymethyldopa (PMD) polymer was electrografted onto PGE in the presence of SFB as a template. X-ray photoelectron spectroscopy (XPS), electrochemical impedance spectroscopy (ESI), and cyclic voltammetry (CV) were used for the characterization of the fabricated sensor. Differential pulse voltammetry (DPV) of a ferrocyanide/ferricyanide redox probe was employed to indirectly detect the SFB binding to the MIP cavities. The sensor shows a reproducible and linear response over a dynamic linear range from 1.0 × 10

Identifiers

PMID37614794
PMCPMC10443622
OpenAlexW4386077984

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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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.