Pattern recognition based on machine learning identifies oil adulteration and edible oil mixtures

oleh: Kevin Lim, Kun Pan, Zhe Yu, Rong Hui Xiao

Format: Article
Diterbitkan: Nature Portfolio 2020-10-01

Deskripsi

Fraudulent adulteration of edible oils is based on the fact that their characteristic fatty acid profile can be mimicked with mixtures of other oil types. Here, the authors use a deep learning method to uncover fatty acid patterns discriminative for ten different plant oil types and to discern composition of mixtures.