Meat and Fish Freshness Inspection System Based on Odor Sensing

Sensors

Najam ul Hasan¹  Naveed Ejaz²  Waleed Ejaz¹ 

[1] Department of Information and Communication Engineering, Sejong University, 98 Gunja-dong, Gwangjin-gu, Seoul 143747, Korea; E-Mails:;Department of Digital Content, Sejong University, 98 Gunja-dong, Gwangjin-gu, Seoul 143747, Korea; E-Mail:

关键词: electronic nose;    machine olfaction;    pattern classification;   

DOI  :  10.3390/s121115542

来源: mdpi

【 摘 要 】

We propose a method for building a simple electronic nose based on commercially available sensors used to sniff in the market and identify spoiled/contaminated meat stocked for sale in butcher shops. Using a metal oxide semiconductor-based electronic nose, we measured the smell signature from two of the most common meat foods (beef and fish) stored at room temperature. Food samples were divided into two groups: fresh beef with decayed fish and fresh fish with decayed beef. The prime objective was to identify the decayed item using the developed electronic nose. Additionally, we tested the electronic nose using three pattern classification algorithms (artificial neural network, support vector machine and k-nearest neighbor), and compared them based on accuracy, sensitivity, and specificity. The results demonstrate that the k-nearest neighbor algorithm has the highest accuracy.

【 授权许可】

CC BY   
© 2012 by the authors; licensee MDPI, Basel, Switzerland.