Evidence map›Paper›PMID 36365910›Full record

ArticleSensors (Basel, Switzerland)2022

SWCNT Network-FET Device for Human Serum Albumin Detection.

Iskandar Yahya, Muhamad Azuddin Hassan, Nur Nasyifa Mohd Maidin, Mohd Ambri Mohamed

Open access · goldAbstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2022. 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
0.7field-weighted citation impact, top 37% 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, 9 citations in OpenAlex.

  1. Article
  2. Review
  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.

Iskandar YahyaFaculty of Engineering & Built Environment, National University of Malaysia (UKM), Bangi 43600, Malaysia.ORCID 0000-0002-1839-500X
Muhamad Azuddin HassanInstitute of Microengineering and Nanoelectronics (IMEN), National University of Malaysia (UKM), Bangi 43600, Malaysia.
Nur Nasyifa Mohd MaidinInstitute of Microengineering and Nanoelectronics (IMEN), National University of Malaysia (UKM), Bangi 43600, Malaysia.ORCID 0000-0003-1269-2131
Mohd Ambri MohamedInstitute of Microengineering and Nanoelectronics (IMEN), National University of Malaysia (UKM), Bangi 43600, Malaysia.ORCID 0000-0002-1832-6266
National University of Malaysia · MY

Funding

Ministry of Higher Education of Malaysia through the Fundamental Research Grant Scheme FRGS/1/2021/TK0/UKM/02/29Research University Grant of Universiti Kebangsaan Malaysia (UKM). GUP-2022-006
6 · The paper itself

Abstract

A thin film of single-walled carbon nanotube (SWCNT) network field-effect transistor (FET) was fabricated by a simple, fast, and reliable deposition method for electronic applications. This study aims to develop a method for fabricating a thin film of random SWCNTs to be used as a transducer to detect human serum albumin (HSA) in biosensor applications. The random SWCNT network was deposited using the airbrush technique. The morphology of the CNT network was examined by utilising atomic force microscopy (AFM) and field-emission scanning electron microscopy (FESEM), while electrical characteristics were analysed using three-terminal IV measurements. The thin film (SWCNT network) was applied as a transducer to detect human serum albumin (HSA) based on its covalent interaction with antibodies. HSA plays a significant part in the physiological functions of the human body. The surface alteration of the SWCNTs was verified using Fourier transform infrared (FTIR) spectroscopy. Electrical current-voltage measurements validated the surface binding and HSA detection. The biosensor linearly recorded a 0.47 fg/mL limit of detection (LOD) and a high sensitivity of 3.44 μA (g/mL)

Indexed as

Biosensing TechniquesNanotubes, CarbonHumansImmunoassayLimit of DetectionSerum Albumin, HumanNanotubes, CarbonSerum Albumin, Humanbiosensorcarbon nanotubesfield-effect transistorhuman serum albumin

Identifiers

PMID36365910
PMCPMC9653970
OpenAlexW4307631892

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.