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

Author:

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

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.

Publisher

MDPI AG

Subject

Health, Toxicology and Mutagenesis,Public Health, Environmental and Occupational Health

Reference176 articles.

1. Semiconductor Sensors;Sze,1994

2. Interdigital sensors and transducers

3. MEMS Seismic Sensor with FPAA-Based Interface Circuit for Frequency-Drift Compensation Using ANN;Pawase;Int. J. Smart Sens. Intell. Syst.,2018

4. New technology for multi-sensor silicon needles for biomedical applications

5. A novel intelligent textile technology based on silicon flexible skins

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