Evidence map›Paper›PMID 32047209›Full record

ArticleScientific reports2020

Sensitive Detection of Dengue Virus Type 2 E-Proteins Signals Using Self-Assembled Monolayers/Reduced Graphene Oxide-PAMAM Dendrimer Thin Film-SPR Optical Sensor.

Nur Alia Sheh Omar, Yap Wing Fen, Jaafar Abdullah, Yasmin Mustapha Kamil, Wan Mohd Ebtisyam Mustaqim Mohd Daniyal, Amir Reza Sadrolhosseini, Mohd Adzir Mahdi

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 papers.

0numbers the graph read from it
0cells of the map it votes in
49citing papers in PubMed
20.4field-weighted citation impact, top 1% 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

49 citing papers in PubMed, 137 citations in OpenAlex.

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  8. Plasmonic Nanostructure Biosensors: A Review.Sensors (Basel, Switzerland) · 2023
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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

7 authors at 1 institution in 1 country.

Nur Alia Sheh OmarInstitute of Advanced Technology, Universiti Putra Malaysia, 43400 UPM, Serdang, Selangor, Malaysia.
Yap Wing FenInstitute of Advanced Technology, Universiti Putra Malaysia, 43400 UPM, Serdang, Selangor, Malaysia. yapwingfen@gmail.com.
Jaafar AbdullahFaculty of Science, Universiti Putra Malaysia, 43400 UPM, Serdang, Selangor, Malaysia.
Yasmin Mustapha KamilinLAZER Dynamics Sdn Bhd, InnoHub Unit, Putra Science Park, Universiti Putra Malaysia, 43400 UPM, Serdang, Selangor, Malaysia.
Wan Mohd Ebtisyam Mustaqim Mohd DaniyalInstitute of Advanced Technology, Universiti Putra Malaysia, 43400 UPM, Serdang, Selangor, Malaysia.
Amir Reza SadrolhosseiniInstitute of Advanced Technology, Universiti Putra Malaysia, 43400 UPM, Serdang, Selangor, Malaysia.
Mohd Adzir MahdiWireless and Photonics Network Research Centre, Faculty of Engineering, Universiti Putra Malaysia, 43400 UPM, Serdang, Selangor, Malaysia.
Universiti Putra Malaysia · MY

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this work, sensitive detection of dengue virus type 2 E-proteins (DENV-2 E-proteins) was performed in the range of 0.08 pM to 0.5 pM. The successful DENV detection at very low concentration is a matter of concern for targeting the early detection after the onset of dengue symptoms. Here, we developed a SPR sensor based on self-assembled monolayer/reduced graphene oxide-polyamidoamine dendrimer (SAM/NH

Indexed as

DendrimersGraphiteNanoparticlesSensitivity and SpecificitySpectroscopy, Fourier Transform InfraredSurface Plasmon ResonanceViral Envelope ProteinsX-Ray DiffractionDendrimersE-glycoprotein, Dengue virus type 2graphene oxideGraphiteViral Envelope Proteins

Identifiers

PMID32047209
PMCPMC7012912
OpenAlexW3005997157

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.