How machine learning is deployed into the detection of olive oil adulteration (Part 2)
Channel: The Bright Spark
Date: 2024-04-07

Olive oil adulteration refers to the practice of mixing pure olive oil with lower-quality oils or other substances to increase profits. Adulteration can occur at various stages of the production and distribution process, from the harvesting of olives to the bottling.  Food safety has always been a major concern for its direct impact leading to the development of chronic diseases, such as diabetes and cardiovascular disease. Despite stringent rules, food fraudulent is rampant with edible oils being one of the most frequent targets. A team of researchers demonstrated that optical spectroscopy produces high-throughput, and label-free authentication of edible oils, offers the feasibility for rapid analysis for large-scale industrial screening. By invoking the power of machine learning high clustering fidelity of ‘spectral fingerprints’ achieved created opportunity for hypothesis-free self-sustaining large database compilation which was never possible without machine learning. 

For details: https://doi.org/10.1016/j.foodchem.2024.139017
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