DNA Pool Analysis-based Forgery-Detection of Dairy Products

Francesco Rossi (Politecnico di Torino)
Paola Modesto (Istituto Zooprofilattico Sperimentale del Piemonte Liguria e Valle d’Aosta)
Cristina Biolatti (Istituto Zooprofilattico Sperimentale del Piemonte Liguria e Valle d’Aosta)
Alfredo Benso (Politecnico di Torino)
Stefano Di Carlo (Politecnico di Torino)
Gianfranco Politano (Politecnico di Torino)
Pierluigi Acutis (Istituto Zooprofilattico Sperimentale del Piemonte Liguria e Valle d’Aosta)

International Journal of Electrical and Computer Engineering
Vol 8, No 5: October 2018

Food integrity and food safety have received much attention in recent years due to the dramatic increasing number of food frauds. In this article we focus on the problem of dairy products traceability. In particular, we propose an automatic forgery detection system able to detect frauds in milk and cheese. We investigate the use of Short Tandem Repeats analysis data, processed by a Covariance Matrix Adaptation Evolution Strategy algorithm in order to evaluate a traceability score between the products and their producer, and to highlight possible adulterations and inconsistencies. To demonstrate the usability of the proposed heuristic algorithm in a real setup, we also present the results collected from two real Italian farms.