A method for identifying the quality of edible oil by combining nuclear magnetic resonance with pattern recognition

Abstract

The invention discloses a method for detecting the quality of edible oil with nuclear magnetic resonance combined with pattern recognition, belonging to the field of food detection methods. This method first collects NMR signals under the same parameters for different quality oil samples, and then performs segmental integration on the spectrum, and after normalization and standardization of the obtained data matrix, pattern discrimination analysis is carried out; and the same quality oil Repeatability tests are carried out on similar samples; an oil quality test database is established based on the test data of different quality oils, and analysis and test standards are formed; finally, the quality of unknown oil samples is identified through the test data in the database. It is suitable for the identification and detection of genuine edible oil and inferior gutter oil or adulterated edible oil, and can identify the type of edible oil. The method of the invention has the advantages of high accuracy, good repeatability, quickness and economy, etc., and can provide reliable information for the identification of the quality of various edible oils and the identification of low-priced edible oils posing as high-priced edible oils.

Description

technical field [0001] The invention belongs to the nuclear magnetic resonance method in the instrumental analysis method, and in particular relates to a method for identifying the quality of edible oil by combining the nuclear magnetic resonance spectrum with a pattern recognition method. Background technique [0002] With the rapid development of the tertiary industry, the scale of my country's catering industry is expanding day by day, and the waste oil discharged from the catering wastewater is increasing day by day. Criminals illegally recycle and refine these waste oils, and toxic "waste oil" returns to the dining table. Harmful to human health. Statistics show that at present, 2-3 million tons of waste oil is returned to the table in my country every year, while the total annual consumption of animal and vegetable oil in my country is about 22.5 million tons, and waste oil accounts for 10% of the total. Regarding the rapid detection of waste oil, there are several typ...

AI Technical Summary

Problems solved by technology

Regarding the rapid detection of waste oil, there are several types of rapid detection technologies or methods on the market, including rapid detection methods such as paper chromatography, thin layer chromatography, and sensors based on the detection of electrical conductivity and the total amount of polar compounds. Rapid detection methods based on the detection of heavy metal ion pollutants, as well as rapid detection methods based on the detection of waste oil acid value, peroxide value, etc., these methods have their own advantages in application, and can be used for qualitative detection of waste oil to a certain extent, but There are also defects (such as the proportion of cooking oil mixed with waste oil generally needs to reach a relatively high level before it can be detected or cannot be used for the detection of sesame oil, pepper oil and other colored vegetable oils)

Using nuclear magnetic resonance combined with pattern recognition method to identify genuine edible oil and waste oil has not been reported so far.

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