The Development of a Mobile E-Nose System for Real-Time Beef Quality Monitoring and Spoilage Detection

• Published in: Engineering proceedings 2023-11, Vol.56 (1), p.256
• Main Authors: V. A. Binson, Sania Thomas
• Format: Article
• Language: English
• Subjects: beef; electronic nose; odor analysis; SVM; volatile organic compounds
• ISSN: 2673-4591
• DOI: 10.3390/ASEC2023-15960

Ensuring the quality of meat is crucial to preventing health hazards caused by improper handling. To address this issue, a smart packaging system is necessary for continuous monitoring of beef quality and microbial population, benefiting both meat industries and end consumers. The presence of spoilage-causing microbes can be detected using an electronic nose (e-nose), a cost-effective and rapid instrument for beef quality classification. This research introduces the development of a mobile e-nose system for beef quality detection and monitoring. The system comprises a chemical gas sensor array, a data acquisition system, a data processing system, and a pattern recognition system. The gas sensors utilized in the sensor array include MQ135, MQ137, MQ9, MQ3, TGS 2620, TGS 2610, TGS 2600, and TGS 822. The experiment involved a dataset with 1800 data points. The experimental results demonstrate the system’s ability to accurately distinguish between fresh and spoiled beef. Furthermore, it exhibits a promising classification accuracy of 95.89% using the Support Vector Machine model. Therefore, this system presents a potential solution for a low-cost, user-friendly, and real-time meat quality monitoring system. This research contributes to the development of an accessible and efficient meat quality monitoring system, addressing the need for continuous assessment and ensuring consumer safety.