Applied Study on Rapid Identifying Adulteration Olive Oil Based on Pattern Recognition and Near Infrared Spectroscopy

摘要

According to the status of lacking fast detection technology to adulteration olive oil, the paper presented a new method based on near infrared spectroscopy technology and pattern recognition.10 samples of pure olive oil were collected.2 kinds of adulteration samples were respectively made up with soybean oil and rapeseed oil.The Identification models were build respectively by support vector machines and hierarchial clustering.The result showed that the model's performance built by SVM was better than the model by hierarchial clustering.The recognition ratio and prediction ratio of SVM were 100%.The experiments shown that the fast detection technology based on NIR and pattern recognition had better feasibility and practicability in identifying adulteration olive oil.