Our research work has developed a validated multi-species proteomics screening tool for meat species verification in processed meat products. Incidents of food and drink mislabelling and fraud can damage public trust in the integrity of the food chain and impact on the competitiveness and resilience of UK businesses as demonstrated during the horse meat contamination incident of 2013. The development of robust analytical tools to help verify product labelling and support food law enforcement is fundamental to improving confidence in food labelling for consumers, businesses and the food industry. 

The development of methods and technologies to detect food fraud supports Defra’s vision for a world leading food and drink industry with the highest standards of food safety and quality. Having these tools in place reassures consumer confidence and public trust in the integrity of the food chain. We have developed a multi-species screening tool that will increase the efficiency of meat analysis by facilitating the detection of unsuspected adulteration (currently limited to nine species).  Traditional DNA-based methods tend to be applied in a species-targeted way (and so intelligence on the likely adulterants is needed) and there can be analytical challenges and higher costs associated with multiplexing DNA methods. Additionally, in highly processed foods, DNA can become degraded, making interpretation of results difficult. Protein fragments (peptides) are more stable under harsh processing conditions and can be analysed by mass spectrometry (MS) for species determination. Proteomic MS approaches enable the simultaneous detection of multiple meat species and the detection of unsuspected meats in food. The application of proteomic MS technologies in food authenticity testing is an emerging innovation that offers potential advantages that complement DNA-based detection methods, currently the tool of choice for routine identification of meat species in food.