| The potential of electronic language system based on electrode array to identify Anomaly in the food industry |
| Paper ID : 1450-NICAME1402 |
| Authors: |
|
mohammad rasoul amini *1, zahra izadi2, ali lotfi3 1Department of Avian Diseases, Faculty of Veterinary Medicine, University of Shahre kord, Shahre kord, Iran 2Department of Mechanical Engineering of Biosystems, Faculty of Agriculture, Shahrekord University, Shahrekord, Iran 3Graduated from Biosystem Mechanical Engineering Department, University of Shahre kord, Shahre kord, Iran |
| Abstract: |
| Electronic language technology has shown a promising perspective in relation to quality control and identifying the authenticity of food and agricultural products, so this technology has been widely used in food and agricultural industries. A portable electronic language system consisting of an array of electrochemical sensors has processing applications in fraud detection. In the measurement process, voltammetry techniques are used. Phosphate buffer (pH=7) is used as a suitable buffer medium for detection. Also, graphite-based compounds have the best performance as electrode surface modifiers. The three-electrode sensing system, including the working electrode, silver/silver chloride reference electrode, and auxiliary electrode, has a high ability to detect fraud in the food industry. Compared with traditional gas chromatography–mass spectrometry (GC-MS) techniques, electronic noses are noninvasive and can be a rapid, cost-effective option for several applications. However, the use of electronic noses to detect food adulteration is still in its early stages, and there are challenges related to sensor performance, sampling, and detection and measurement. |
| Keywords: |
| electronic language, food, voltammetry, Anomaly |
| Status : Paper Accepted (Poster Presentation) |
