Device for Detecting Damaged Tissue in Chicken Meat

Universitat Politècnica de València Background
The intensification of the production process of chicken meat has resulted in an increase of internal malformations, such as myopathies that cause broken muscle tissues, inner hemorrhages, necrosis and even heart attacks.
A broken muscle tissue near the heart affects 5% of the total production and it causes big losses in the meat industry.
Technology Overview
With the new device, it is possible to detect damaged tissues in these animals in a non-invasive and non-destructive way, without opening the chicken, and later classifying the damaged carcasses and removing them in a fast and effective way ().
The method developed uses complex permittivity in a specific radio frequency range between 100 Hz to 1 MHz in different levels of penetration.
Detection of physiopathies in the chicken’s deep pectoral muscle is made possible by measuring the frequencies of relaxation, which are related to the structural and compositional changes in meat. This also allow us to know the origin of the physiopathies, whether from necrosis, hemorrhage or any structural or compositional variation. In order to do that, the values of relaxation frequencies of the relevant electric phenomena (dispersion α y dispersion β) at different levels of penetration are measured ().
These measures are obtained through a multi-sensor system—consisting of several flat sensors at different distances—which are capable of varying the penetration of the signal, and a microprocessor that controls the data acquisition systems and manages communication to the exterior. During the discrimination process, the measures of both dispersions and the post-mortem time are used. In addition, an algorithm makes it possible to assess the volume proportion of the muscle affected by necrosis or hemorrhage and the health tissue that is maturing.
Benefits

Non-invasive and non-destructive.
It can be quickly applied in the slaughterhouse.
It does not require additional products and infrastructures.
It is capable of classifying the level of seriousness of the disease.
It guarantees the quality of the product in the market.
It diminishes losses due to the return of damaged product.

Applications

Food industry, particularly the meat industry.
Industrial machinery sector, for developing the device.

Opportunity
The inventors are searching for companies interested in doing the Proof of Concept with a license option.

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