Adulteration detection in cactus seed oil: Integrating analytical chemistry and machine learning approaches

Adulteration detection in cactus seed oil: Integrating analytical chemistry and machine learning approaches

Economically motivated adulteration threatens both consumer rights and market integrity, particularly with high-value cold-pressed oils like cactus seed oil (CO). This study proposes a machine learning model that integrates analytical measurements, data simulations, and classification techniques to...

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Bibliographic Details
Main Authors: Said El Harkaoui, Cristina Ortiz Cruz, Aaron Roggenland, Micha Schneider, Sascha Rohn, Stephan Drusch, Bertrand Matthäus
Format: Article
Language:English
Published: Elsevier 2025-01-01
Series:Current Research in Food Science
Subjects:
Cactus seed oil
Authenticity
Machine learning
Conditional generative adversarial network
Monte-Carlo
Random Forest
Online Access:http://www.sciencedirect.com/science/article/pii/S2665927125000176
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