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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 |
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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.