Evidence map›Paper›PMID 25237337›Full record

ArticleIranian journal of pharmaceutical research : IJPR2014

Computational aided-molecular imprinted polymer design for solid phase extraction of metaproterenol from plasma and determination by voltammetry using modified carbon nanotube electrode.

Farhad Ahmadi, Ehsan Karamian

Open access · greenAbstract read
In one paragraph

Article in Iranian journal of pharmaceutical research : IJPR, 2014. 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
2.1field-weighted citation impact, top 11% 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, 18 citations in OpenAlex.

  1. Review
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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

2 authors at 1 institution in 1 country.

Farhad AhmadiNano Drug Delivery Research Center, Faculty of Pharmacy, Kermanshah Universityof Medical Sciences, Kermanshah, Iran. ; Pharmaceutical Chemistry Department, Faculty of Pharmacy, Kermanshah University of Medical Science, Kermanshah, Iran.
Ehsan KaramianPharmaceutical Chemistry Department, Faculty of Pharmacy, Kermanshah University of Medical Science, Kermanshah, Iran.
Kermanshah University of Medical Sciences · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A molecular imprinted polymer (MIP) was computationally designed and synthesized for the selective extraction of metaproterenol (MTP), from human plasma. In this regards semi empirical MP3 and mechanical quantum (DFT) calculations were used to find a suitable functional monomers. On the basis of computational and experimental results, acrylic acid (AA) and DMSO:MeOH (90:10 %V/V) were found to be the best choices of functional monomer and polymerization solvents, respectively. This polymer was then used as a selective sorbent to develop a molecularly imprinted solid-phase extraction (MISPE) procedure followed by differential pulse voltammetry by using modified carbon nanotube electrode. The analysis was performed in phosphate buffer, pH 7.0. Peak currents were measured at +0.67 V versus Ag/AgCl. The linear calibration range was 0.026-8.0 μg mL(-1) with a limit of detection 0.01 μg mL(-1). The relative standard deviation at 0.5 μg mL(-1) was 4.76% (n=5). The mean recoveries of 5 μg mL(-1) MTP from plasma was 92.2% (n=5). The data of MISPE-DPV were compared with the MISPE-HPLC-UV. Although, the MISPE-DPV was more sensitive but both techniques have similar accuracy and precision.

Indexed as

Computational molecular modelingDoping controlMetaproterenolModified carbon nano tube electrodeMolecularly imprinted polymer

Identifiers

PMID25237337
PMCPMC4157017
OpenAlexW2122064614

What OpenQuestion holds

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LicenceCC BY
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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.