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How To Detect Adulteration of Beef and Pork in Raw Meats?

How To Detect Adulteration of Beef and Pork in Raw Meats?

What is food adulteration?

Food adulteration happens when a substance or ingredient is deliberately used to lower the quality of food. All foods have their standards regulated by either European or international law. In order to comply with these regulations, consumer goods are constantly inspected for quality.

Adulteration can be dangerous for consumers, it can be poisonous, or affect their health. Hence, there are many laboratories or inspections.

In recent years, there have been reports of the detection of pork meat in beef. One of the reasons for that is that pork meat is cheaper than beef. However, adulteration is illegal and there are many processes to detect it and stop it from happening.

How to detect adulteration using spectral imaging technology?

Spectral imaging technology allows seeing beyond the human eye. Thus, it can show the content, ingredients, and substances of food.

Videometer uses 19 strobes of wavelengths to analyze samples. This allows the user of the instrument to see adulterated meat in RGB or Grayscale.

Moreover, machine learning combined with spectral imaging results in rapid and accurate detection of adulteration.

Videometer’s technology mentioned in Food Research International

The Agricultural University of Athens has presented exciting results on the detection of meat adulteration. The study concerned pork located in raw beef meat and vice versa. The university decided to use the VideometerLab for 220 samples they prepared.

The analysis displayed excellent results in the detection of meat authenticity using the VideometerLab. You can read more about the study and its conclusions here.

Spectral imaging in Food applications

  • Authencity
  • Safety
  • Quality
  • Counterfeit
  • Spoilage

and more.

Learn how Videometer’s technology can assist your organization in the food area.

References

Ropodi, A., Pavlidis, D., Mohareb, F., Panagou, E., & Nychas, G. J. (2015). Multispectral image analysis approach to detect adulteration of beef and pork in raw meats. Food Research International, 67, 12–18.

 

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