Technology is based on mass spectrometry with laser -induced plasma in atmospheric pressure (APLPI). The analysis is performed quickly-a oil sample is placed in a test tube, where the volatile substances are ionized and the mass spectrometer is entered.
The method has already been tested on olives, rapeseed seeds, sunflower and flaxseed oils. With machine learning algorithms, it allows you to detect not only to determine the fat type, but also a Falsify.
According to the developers, technology is especially in demand for operational product quality control. It excludes the time consuming stage of the sampling required in traditional analysis methods.
Source: Ferra
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