Method for identifying Baijiu of different years through ultra-high performance liquid chromatography-tandem mass spectrometry

Abstract

The invention relates to a method for identifying Baijiu of different years through ultra-high performance liquid chromatography-tandem mass spectrometry. The method comprises the following steps of:filtering Baijiu to be identified, respectively measuring in ultra-high performance liquid chromatography quadrupole electrostatic field orbital ion trap mass spectrometry, collecting data, carrying out background drift correction, peak extraction and peak alignment, and identifying compounds; performing partial least squares discriminant analysis on a result data set, screening the data by takinga variable importance value greater than 1 as a standard to obtain characteristic compounds of Baijiu of different years to be identified, taking the characteristic compounds as an input layer of theartificial neural network, and taking the Baijiu of different years to be identified as an output layer of the artificial neural network; and sequentially performing artificial neural network training, verification and testing to obtain an artificial neural network identification model, finally acquiring characteristic compounds with variable importance values greater than 1 in the Baijiu to be identified, and inputting the characteristic compounds into the artificial neural network identification model to obtain an output layer which is the year of the Baijiu to be identified.

Description

technical field [0001] The invention relates to the technical field of wine identification, in particular to a method for identifying liquor of different years by ultra-high performance liquid chromatography tandem mass spectrometry. Background technique [0002] Vintage wine is widely loved by consumers because of its unique aroma and taste. At present, the identification of vintage wines is mainly based on the important characteristic substances screened out by chemometric methods such as partial least squares method-discriminant analysis and stepwise linear discriminant analysis, to establish a neural network analysis model for identification of different years. Therefore, complete and accurate screening Finding out the significant difference substances in wines of different years is the key step to complete the identification of wines of different years. [0003] Liquor is a complex system, in which ethanol and water account for about 98% of the total volume, and the re...

AI Technical Summary

Problems solved by technology

[0006] Aiming at the deficiencies in the prior art, the present invention provides an ultra-high performance liquid chromatography tandem mass spectrometry method for identifying liquors of different years, which is accurate and reliable, and makes up for the fact that traditional detection instruments cannot completely cover all small molecular compounds in liquors of differe

Images