Olive oil adulteration detection method combining low-field nuclear magnetic resonance with pattern recognition technology

Fecha de publicación: 20/11/2020
Fuente: Wipo "olive oil"
The invention provides an olive oil adulteration detection method combining low-field nuclear magnetic resonance with a pattern recognition technology. The method comprises the following steps of: collecting a pure special virgin olive oil sample and an adulterated binary mixed olive oil sample; performing low-field nuclear magnetic resonance detection on each sample, and collecting to obtain an inverted transverse relaxation time T2 distribution spectrogram; comparing the characteristic parameters of the T2 distribution diagrams of the olive oil with different adulteration ratios, and searching the intrinsic regularity; preprocessing the low-field nuclear magnetic resonance T2 distribution spectrogram, and establishing a true and false olive oil quality analysis database; establishing anadulterated olive oil discrimination model by combining the database with a pattern recognition technology, and importing unknown olive oil data into the model to discriminate whether olive oil is adulterated or not. According to the invention, an economic, rapid, efficient and reliable detection means can be provided for a supervision department to ensure rights and interests of consumers; and the method can be widely applied to identification of olive oil adulteration as a rapid, convenient and effective screening technology, and is convenient to popularize and use.