Evidence map›Paper›PMID 32006112›Full record

ArticleMikrochimica acta2020

Polyacrylonitrile/MIL-53(Fe) electrospun nanofiber for pipette-tip micro solid phase extraction of nitrazepam and oxazepam followed by HPLC analysis.

Shima Amini, Homeira Ebrahimzadeh, Shahram Seidi, Niloofar Jalilian

Abstract read
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In one paragraph

Article in Mikrochimica acta, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
4.9field-weighted citation impact, top 4% 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

9 citing papers in PubMed, 70 citations in OpenAlex.

  1. Review
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  4. Interpol Review of Drug Analysis 2019-2022.Forensic science international. Synergy · 2023
    Review
  5. Article
  6. Article
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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.

Shima AminiFaculty of Chemistry and Petroleum Sciences, Department of Analytical Chemistry and Pollutants, Shahid Beheshti University, G.C., Evin, Tehran 19839-69411, Iran.
Homeira EbrahimzadehFaculty of Chemistry and Petroleum Sciences, Department of Analytical Chemistry and Pollutants, Shahid Beheshti University, G.C., Evin, Tehran 19839-69411, Iran. h-ebrahim@sbu.ac.ir.
Shahram SeidiFaculty of Chemistry, Department of Analytical Chemistry, K.N. Toosi University of Technology, Tehran 19697, Iran.
Niloofar JalilianFaculty of Chemistry and Petroleum Sciences, Department of Analytical Chemistry and Pollutants, Shahid Beheshti University, G.C., Evin, Tehran 19839-69411, Iran.
Shahid Beheshti University · IRK.N.Toosi University of Technology · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Nanofibers were prepared from a nanocomposite consisting of polyacrylonitrile and a metal-organic framework of type MIL-53(Fe) by electrospinning. They are shown to be a viable sorbent for pipette-tip solid-phase extraction for the extraction of the benzodiazepine drugs nitrazepam and oxazepam. The nanofibers were characterized by scanning electron microscopy, energy dispersive X-ray spectroscopy, Fourier transform infrared spectroscopy and X-ray diffraction. The effects of sample pH value and volume, composition, and amount of electrospun nanofibers, the number of adsorption cycles and the type and volume of the eluent were optimized. Following extraction the drugs were quantified by HPLC. Under the optimized conditions, response is linear for both drugs in the 5.0-1000 ng mL

Indexed as

BenzodiazepinesBiological fluidComposite nanosorbentMetal organic frameworkMicroextractionMiniaturizationSample preparationWaste water analysis

Identifiers

PMID32006112
OpenAlexW3003379929

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.