Non-invasive real-time meat freshness assessment using spectral sensing

Overview

Compolytics has developed a cutting-edge solution for non-invasive, real-time assessment of meat freshness using tailored multispectral sensors and machine learning (ML) modeling. This technology leverages optical spectroscopy to analyze molecular changes in meat, providing a superior method for predicting spoilage and shelf life. The system is cost-effective, fast, and user-friendly, making it ideal for both industrial and consumer applications. By using the ScanCorder platform, it enhances food safety and reduces waste.

Technical specifications

• Utilizes optical spectroscopy to identify molecular and structural properties of meat.
• Achieves over 90% classification accuracy in differentiating freshness levels in beef.
• Capable of pairwise differentiation between Angus, Wagyu, and other cattle breeds, and detecting grass-fed versus grain-fed beef.
• Future plans include expansion to other meat types (e.g., pork, chicken) and processing types (e.g., cuts, minced) with a focus on various storage conditions.
• Development of a spectral database and machine learning-based calibration model to optimize sensor performance.
• Prototype development and validation in a relevant environment are underway.

Technology readiness level

The technology has reached TRL 5, indicating that it has been validated in a relevant environment. Future steps aim to achieve TRL 6 through further prototyping and testing.