GC-IMS pear production place distinguishing method based on aromatic substance fingerprint spectrum

Abstract

The invention discloses a GC-IMS pear production place distinguishing method based on an aromatic substance fingerprint spectrum. According to the invention, a headspace gas chromatography-ion mobility spectrometry instrument is used for detecting pears from different producing areas; GC-IMS sample data are obtained; the GC-IMS sample data is subjected to statistical analysis through LAV analysissoftware and GC * IMS Library Search Software qualitative software of the instrument, and GC-IMS fingerprint spectrums of volatile aroma components of the pears from all production places are obtainedfor distinguishing the production places of the pears. The GC-IMS technology is applied to collection and trace analysis of complex aroma substances in the pears from different producing areas, comprehensive fingerprint information is provided for distinguishing the producing areas of the pears, rapid and accurate distinguishing of the producing areas of the pears from different producing areas is achieved, and theoretical basis and data support are provided for identifying and tracing the producing areas of the pears.

Description

technical field [0001] The invention relates to a gas chromatography-ion migration technique (GC-IMS) method for distinguishing pear fruit production areas based on aroma substance fingerprints, and belongs to the fields of food science and analytical chemistry. Background technique [0002] As one of the pear origin centers, my country has abundant pear germplasm resources and occupies an important position in the pear industry in the world. In recent years, both the cultivated area and the output have developed rapidly, and new varieties of Pyrus are also increasing year by year. However, the quality of pear fruit is uneven, and the development of dominant brands is limited. Fruit aroma can objectively reflect the flavor characteristics and maturity of the fruit, and at the same time directly determine the quality of the fruit and its processed products, significantly affecting its market competitiveness. [0003] According to reports, the analysis and identification of ...

AI Technical Summary

Problems solved by technology

At present, the reported method of distinguishing pear fruit production areas and tracing its source is mainly based on elemental analysis. This kind of method is complicated in pre-processing and takes a long time; if there is no experience in elemental analysis, the accuracy of the result judgment will decrease

In the existing literature, there is almost no method for judging the place of origin through the difference of aroma substances

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