Evidence map›Paper›PMID 32932581›Full record

ArticleMembranes2020

Graphene Oxide Membrane Immobilized Aptamer as a Highly Selective Hormone Removal.

Siham Chergui, Khaled Rhili, Sujittra Poorahong, Mohamed Siaj

Open access · goldAbstract read
In one paragraph

Article in Membranes, 2020. 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
0.9field-weighted citation impact, top 29% 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

3 citing papers in PubMed, 11 citations in OpenAlex.

  1. Review
  2. Article
  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

4 authors at 1 institution in 1 country.

Siham CherguiDepartment of Chemistry, University of Quebec at Montreal, Montreal, QC H3C3P8, Canada.
Khaled RhiliDepartment of Chemistry, University of Quebec at Montreal, Montreal, QC H3C3P8, Canada.
Sujittra PoorahongDepartment of Chemistry, University of Quebec at Montreal, Montreal, QC H3C3P8, Canada.ORCID 0000-0002-5507-6892
Mohamed SiajDepartment of Chemistry, University of Quebec at Montreal, Montreal, QC H3C3P8, Canada.ORCID 0000-0003-0499-4260
Université du Québec à Montréal · CA

Funding

Canada Research Chairs N/ANatural Sciences and Engineering Research Council of Canada N/A
6 · The paper itself

Abstract

Three-dimensional (3D) reduced graphene oxide (rGO) modified by polyethyleneimine (PEI) was prepared and functionalized by fluorophore-labeled dexamethasone-aptamer (Flu-DEX-apt) via π-π stacking interaction. The rGO/PEI/Flu-DEX-apt was used as a selective membrane for dexamethasone hormone removal from water. The prepared rGO/PEI/Flu-DEX-apt membranes were stable, insoluble, and easily removable from liquid media. The membrane was characterized by Raman spectroscopy, scanning electron spectroscopy, and FTIR spectroscopy. The rGO/PEI/Flu-DEX-apt membrane showed high sensitivity and specificity toward the dexamethasone hormone in the presence of other steroid hormone analogs, such as progesterone, estrone, estradiol, and 19-norethindrone. The fluorescence and UV-visible spectroscopy were used to confirm the membranes performance and the quantification of hormones removal. The resulting data clearly show that the graphene oxide concentration influence the aptamers and analytes interaction (π-π stacking interaction). It was found that by varying the graphene oxide concentration yields to different porosities of rGO/PEI/Flu-DEX-apt membranes affects the adsorption recovery rate, as well as the specificity and selectivity toward the dexamethasone hormone.

Indexed as

aptamerdexamethasonegraphene membranegraphene oxidepolyethyleneimine

Identifiers

PMID32932581
PMCPMC7558482
OpenAlexW3085803616

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.