Use of MALDI-TOF mass spectrometry and machine learning to detect the adulteration of extra virgin olive oils

Extra virgin olive oil (EVOO) is known for its nutraceutical properties, which associate it with several health benefits and a high economic value. For these reasons, EVOO is often a target of adulteration with cheaper, lower-grade vegetable oils, typically, sunflower, corn and soybean. Within the quality control process of EVOO products, it is fundamental to develop rapid, simple and robust analytical methods to detect any fraud. Here, we present a simple approach based on the profiling of triacylglycerols (TAGs) using MALDI-TOF mass spectrometry and an evolved neural network based on a logistic regression machine learning algorithm to reveal the adulteration of extra virgin olive oils by seed oils.

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Life Science Lab Instruments, MALDI-TOF Mass Spectrometry
Extra virgin olive oil, EVOO, sunflower, corn, soybean, Food and Beverages, Food safety (Residues, Contaminants), benchtop linear MALDI-TOF, MALDI-8020 benchtop MALDI-ToF mass spectrometer
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