Evidence map›Paper›PMID 32698330›Full record

ReviewInternational journal of environmental research and public health2020

A Review on the Use of Impedimetric Sensors for the Inspection of Food Quality.

Shan He, Yang Yuan, Anindya Nag, Shilun Feng, Nasrin Afsarimanesh, Tao Han, Subhas Chandra Mukhopadhyay, Dominic Rowan Organ

Open access · goldAbstract readReview
In one paragraph

Review in International journal of environmental research and public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
2.4field-weighted citation impact, top 11% 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

13 citing papers in PubMed, 58 citations in OpenAlex.

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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

8 authors at 6 institutions in 4 countries.

Shan HeSchool of Chemistry and Chemical Engineering, Guangzhou University, Guangzhou 510006, China.
Yang YuanSchool of Chemistry and Chemical Engineering, Guangzhou University, Guangzhou 510006, China.
Anindya NagDGUT-CNAM Institute, Dongguan University of Technology, Dongguan 523000, China.
Shilun FengSchool of Electrical and Electronic Engineering, Nanyang Technological University, Singapore 639798, Singapore.
Nasrin AfsarimaneshDGUT-CNAM Institute, Dongguan University of Technology, Dongguan 523000, China.
Tao HanDGUT-CNAM Institute, Dongguan University of Technology, Dongguan 523000, China.ORCID 0000-0002-8422-9288
Subhas Chandra MukhopadhyaySchool of Engineering, Macquarie University, Sydney 2109, Australia.
Dominic Rowan OrganDepartment of Social Sciences, Heriot-Watt University, Edinburgh SC000278, UK.
Dongguan University of Technology · CNFlinders University · AUGuangzhou University · CNHeriot-Watt University · GBMacquarie University · AUNanyang Technological University · SG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This paper exhibits a thorough review of the use of impedimetric sensors for the analysis of food quality. It helps to understand the contribution of some of the major types of impedimetric sensors that are used for this application. The deployment of impedimetric sensing prototypes has been advantageous due to their wide linear range of responses, detection of the target analyte at low concentrations, good stability, high accuracy and high reproducibility in the results. The choice of these sensors was classified on the basis of structure and the conductive material used to develop them. The first category included the use of nanomaterials such as graphene and metallic nanowires used to form the sensing devices. Different forms of graphene nanoparticles, such as nano-hybrids, nanosheets, and nano-powders, have been largely used to sense biomolecules in the micro-molar range. The use of conductive materials such as gold, copper, tungsten and tin to develop nanowire-based prototypes for the inspection of food quality has also been shown. The second category was based on conventional electromechanical circuits such as electronic noses and other smart systems. Within this sector, the standardized systems, such as electronic noses, and LC circuit -based systems have been explained. Finally, some of the challenges posed by the existing sensors have been listed out, along with an estimate of the increase in the number of sensors employed to assess food quality.

Indexed as

Biosensing TechniquesFood QualityGraphiteHumansNanowiresGraphitebiomoleculefoodimpedimetricqualitysensors

Identifiers

PMID32698330
PMCPMC7400391
OpenAlexW3042865306

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.