Food Authentication – Common Wheat in Durum Wheat
Food authentication is becoming increasingly important as consumers demand more information about the origin and composition of their food. The use of spectral imaging technology, such as VideometerLab, is a promising approach for fast and accurate food authentication.
The benefits of using spectral imaging for food authentication are numerous. First, it allows for non-destructive analysis of samples, which means that the sample can be used for other purposes after the analysis is complete. Second, the analysis can be done rapidly and requires very little sample preparation, which saves time and money. Third, the use of machine learning algorithms can greatly enhance the accuracy of the analysis, even for complex mixtures of ingredients.
Spectral Imaging in Food authentication
Spectral imaging with the VideometerLab is a combination of image analysis with machine learning. This creates the perfect solution for the fast characterization of samples. The instrument analyses various traits of objects, like size, surface chemistry, color without touching the surface.
3 steps for analysing Food Integrity
- Defining the sample presentation and preparation
- Choosing conforming and non-conforming product
- Building the analysis recipe
Food Safety application areas
Detecting Common wheat in Durum wheat at LGC, UK – Food authentication
One example of the use of VideometerLab for food authentication is the detection of common wheat in durum wheat samples. The LGC Group in the UK conducted a study to investigate the reliability of spectral imaging for this purpose. They used standards from the European Union’s legislation to ensure that their results were valid for the production of products like pasta.
The study found that spectral imaging with VideometerLab was able to easily distinguish between common wheat and durum wheat samples. The use of wavelengths and extraction to nCDA and RGB lighting allowed for the detection of unwanted common wheat. This demonstrates the potential of spectral imaging for detecting food adulteration and ensuring food authenticity.
The LGC Group concluded that spectral imaging can be efficiently used in the detection of food adulteration and food authentication. Read more about the study and analysis to learn more about this application area.
In conclusion, the use of spectral imaging technology for food authentication is a promising approach for ensuring food safety and quality. The non-destructive, rapid, and accurate nature of the analysis makes it an attractive option for food companies and regulatory agencies alike.
References
Wilkes, T., Nixon, G., Bushell, C., Waltho, A., Alroichdi, A., & Burns, M. (2016). Feasibility Study for Applying Spectral Imaging for Wheat Grain Authenticity Testing in Pasta. Food and Nutrition Sciences, 07(05), 355–361.