Abstract
Electrical impedance spectroscopy, also called bioimpedance when applied to biological tissues, is an electrical measurement technique which is recently being used to assess food physiological state. Combined with strong data analysis techniques, bioimpedance has the potential to become a nondestructive, real-time, low cost, and portable technology for food quality control along the whole supply chain. In this paper, we review recent works focusing on bioimpedance data analysis on food matrix. We briefly describe the traditional statistical methods up to the most recent machine learning solutions The progress achieved and the challenges still to overcome to improve the application are discussed.