Evidence map›Paper›PMID 30964025›Full record

ArticleIET nanobiotechnology2018

Experimental and theoretical investigation of sensing parameters in carbon nanotube-based DNA sensor.

Mina Nouri, Bahar Meshginqalam, Milad Moutab Sahihazar, Raziyeh Sheydaie Pour Dizaji, Mohammad Taghi Ahmadi, Razali Ismail

Open access · greenAbstract read
In one paragraph

Article in IET nanobiotechnology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.3field-weighted citation impact, top 49% 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

0 citing papers in PubMed, 4 citations in OpenAlex.

No citing paper in PubMed yet.

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

6 authors at 3 institutions in 2 countries.

Mina NouriDepartment of Nanotechnology, Urmia University, Urmia, Iran.
Bahar MeshginqalamDepartment of Nanotechnology, Urmia University, Urmia, Iran.
Milad Moutab SahihazarDepartment of Nanotechnology, Urmia University, Urmia, Iran.
Raziyeh Sheydaie Pour DizajiDepartment of Nanotechnology, Urmia University, Urmia, Iran.
Mohammad Taghi AhmadiElectronics and Computer Engineering Department, Faculty of Electrical Engineering, Universiti Teknologi Malaysia, Johor Bahru, Malaysia. Ahmadiph@gmail.com.
Razali IsmailElectronics and Computer Engineering Department, Faculty of Electrical Engineering, Universiti Teknologi Malaysia, Johor Bahru, Malaysia.
Urmia University of Technology · IRUniversity of Technology Malaysia · MYUrmia University · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Nowadays, sensitive biosensors with high selectivity, lower costs and short response time are required for detection of DNA. The most preferred materials in DNA sensor designing are nanomaterials such as carbon and Au nanoparticles, because of their very high surface area and biocompatibility which lead to performance and sensitivity improvements in DNA sensors. Carbon nanomaterials such as carbon nanotubes (CNTs) can be considered as a suitable DNA sensor platform due to their high surface-to-volume ratio, favourable electronic properties and fast electron transfer rate. Therefore, in this study, the CNTs which are synthesised by pulsed AC arc discharge method on a high-density polyethylene substrate are used as conducting channels in a chemiresistor for the electrochemical detection of double stranded DNA. Moreover, the response of the proposed sensor is investigated experimentally and analytically in different temperatures, which confirm good agreement between the presented model and experimental data.

Indexed as

Biosensing TechniquesDNAEquipment DesignNanotubes, CarbonPolyethyleneDNANanotubes, CarbonPolyethylene

Identifiers

PMID30964025
PMCPMC8676651
OpenAlexW2886757556

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.