Method for construction of discrimination model for discriminating daqu quality

Abstract

The invention provides a method for construction of a discrimination model for discriminating daqu quality, the method comprises the following steps: 1, information extraction; 2, variable screening and optimization; 3, construction of the discrimination model; 4, verification of the model; and 5, discriminating; and the method is applied to discriminating of daqu quality in distiller's yeast. The method uses 454 high throughput sequencing technology, and solves the problem that the first generation sequencing technology cannot comprehensively and accurately reflect the composition information of daqu microbes; by use of partial least squares method for variable screening and optimization of the microbes and meanwhile combination with quadratic discriminatory analysis, the daqu quality discriminating evaluation is constructed, and is applied to discriminating of daqu quality grade, the method for discriminating finished product qu and out-taken yellow qu and white qu grade is constructed, and the method has the advantages of simple operation and use, higher discriminating accuracy rate, and the like.

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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