GC-IMS-based fragrant rice shared flavor fingerprint spectrum extraction method

Abstract

The invention relates to a GC-IMS (gas chromatography-ion mobility spectrometry)-based fragrant rice shared flavor fingerprint spectrum extraction method, which comprises the following steps of: analyzing flavor components in fragrant rice in two types of producing areas by adopting a gas phase-ion migration coupling technology; extracting shared feature information in two-dimensional flavor fingerprints in samples of the same category by means of digital image expansion processing and a secondary threshold segmentation method, taking specific geographic information representing fragrant rice in different areas as a origin discrimination basis, and the method comprises the following steps: collecting the two-dimensional fingerprints; preprocessing the atlas; identifying a characteristic peak region; and screening the shared flavor fingerprint set. According to the method, a secondary automatic threshold segmentation method is used for extracting shared characteristic flavor fingerprint information in each type of samples, the method can be applied to discrimination of the production places of the fragrant rice, and discriminant analysis of the fragrant rice in different production places is achieved. The problems of large subjective judgment influence, easy loss of key information, incomplete extracted information and the like in the traditional method based on human eye observation selection and conversion from a two-dimensional map to a one-dimensional map are solved.

Description

technical field [0001] The invention belongs to the field of rapid analysis and detection, and in particular relates to a GC-IMS-based method for extracting shared flavor fingerprints of fragrant rice. Background technique [0002] Ion mobility spectrometry (IMS) is a separation and detection technology for trace chemical substances based on the difference in migration rate (or migration time) of different charged ions in the gas phase in a linear electric field. VOCs in samples are particularly sensitive. GC-IMS, as an emerging coupled analysis technology, combines the high-efficiency separation advantages of gas chromatography (GC) with the high-sensitivity advantages of IMS, and achieves solid and liquid The qualitative and quantitative detection of trace organic components in food has the advantages of no need for sample pretreatment, simple and fast, green and non-destructive, and good repeatability. Therefore, the combination of GC and IMS has played a mutually benef...

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Problems solved by technology

The analysis and processing method of this patent is to use the built-in analysis software of the instrument to manually select the characteristic area of ​​interest by relying on the "human eye observation" method, and then realize the identification of the origin. This method of manually selecting the characteristic area by "human eye" is subject to artificial The influence of subjective factors is relatively large, which is easy to cause the loss of key information, and the repeatability is poor, the lack of quantitative indicators, and the basis for feature selection cannot be explained from a scientific point of view, resulting in poor robustness and applicability of the established discriminant model; in addition, the The principal component analysis method used in the patent can only preliminarily analyze the spatial distribution of samples, and fails to combine pattern recognition methods to realize automatic discrimination of fragrant rice samples

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