@article{jfnr2016495,
author={{Martins, Nat¨˘lia da Silva and Ferreira, Eric Batista and Piedade, Sonia Maria Stefano de and Lucia, Fl¨˘via Della},
title={Shelf Life Prediction for Non-accelerated Studies (<i>SheNon</i>) Applied to Minimally Processed Eggplant},
journal={Journal of Food and Nutrition Research},
volume={4},
number={9},
pages={592--595},
year={2016},
url={http://pubs.sciepub.com/jfnr/4/9/5},
issn={2333-1240},
abstract={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.},
doi={10.12691/jfnr-4-9-5}
publisher={Science and Education Publishing}
}