A method of constructing a discriminant model to identify the quality of Daqu

Abstract

The invention provides a method for constructing a discriminant model to identify the quality of Daqu, comprising the following steps: step 1. information extraction; step 2. variable screening and optimization; step 3. establishing a discriminant model; step 4. verification model; step 5. identification; Quality identification of Daqu in distiller's yeast. The invention uses 454 high-throughput sequencing technology to solve the problem that the first-generation sequencing technology cannot comprehensively and accurately reflect the composition information of Daqu microorganisms; the microbial variables are screened and optimized by the partial least square method, and the quality identification of Daqu is constructed by combining the secondary discriminant analysis The evaluation model was applied to the quality grade identification of Daqu, and a set of discrimination methods suitable for the grade identification of finished koji, Chucang yellow koji and Chucang white koji were constructed, which has the advantages of simple operation and high discrimination accuracy.

Description

technical field [0001] The invention relates to the technical field of quality identification of Daqu, in particular to a method for realizing the quality identification of Daqu by applying the microbial composition information of Daqu and combining multivariate statistical methods. Background technique [0002] Daqu is an indispensable part of liquor brewing, which plays the roles of ①inoculating microorganisms; ②producing enzyme systems; ③providing flavor substances and precursors and ④supplementing materials. The first three functions are closely related to the floristic structure of the microbial community in Daqu, so the difference in microbial composition in Daqu can reflect its quality to a certain extent. [0003] The 454 high-throughput sequencing method is a new generation of DNA sequencing technology developed in recent years. With its digital signal, high data throughput, high sequencing depth, and high accuracy, it can realize large-scale multi-sample community ...

AI Technical Summary

Problems solved by technology

[0005] For example, the Chinese invention patent with the patent number of 201310201060.5 and the patent name of "a method for constructing a discriminant model to identify the quality of Daqu" provides a method for identifying the quality of Daqu by using solid-phase microextraction and discriminant analysis. Daqu quality evaluation, this method is costly and the accuracy rate is unacceptable relative to its cost

In the Chinese invention patent with the patent number 200910228701.X and the patent name "A Quality Control Method for the Production of Maotai-flavored Liquor Daqu", a DGGE method using Daqu microorganisms to establish a standard fingerprint is provided, and the obtained spectrum is compared with the standard fingerprint. In this method, DGGE technology can only detect more than a dozen dominant bacteria in the sample; if you want to know the specific bacterial species information, you need to clone and sequence, and the experimental operation is cumbersome; and using this This method cannot reflect the abundance of microorganisms

In addition, the map comparison in this scheme is only a simple comparison, and it is difficult to effectively improve the accuracy rate in some special cases.

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