A Supervised Feature Extraction Method For GC‐MS Data Based On PLS. Application To Olive Oil Adulteration Detection

Olive oil adulteration is often complicated and more than one test is necessary to determine olive oil authenticity. In particular, detection of hazelnut oil in admixtures has been difficult to confirm due to the similarity of the two oils. In this work a method to identify the olive oil adulteration is presented based on GC‐MS analysis coupled with data analysis techniques and a feature selection step.