Science and Education Publishing Journal of Food and Nutrition Research 2333-1240 4 9 2016 9 5 Shelf Life Prediction for Non-accelerated Studies (SheNon) Applied to Minimally Processed Eggplant 592 595 EN Natália da Silva Martins Institute of Exact Sciences, Federal University of Alfenas, Alfenas, Brazil Eric Batista Ferreira Sonia Maria Stefano de Piedade Fl��via Della Lucia JFNR2016495 10.12691/jfnr-4-9-5 2016 5 14 2016 7 24 2016 9 3 This study aimed to propose a multivariate method for determining the shelf life of food in non-accelerated studies. The method allows incorporating different kinds of variables such as sensorial, physical, chemical and microbiological. The idea is to maintain two components most (co)related to(with) time (not necessarily the first two) and regress the score of a sample adjacent against these components, predicting the shelf live. It was applied in minimally processed eggplant data, resulting in a prediction of 9.6 days of life. Results suggest that the proposed method is promising and can be used in non-accelerated studies considering attributes of different types.