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Method for differentiating Maotai-flavor liquor brewing processes based on partial least square method

A partial least squares, Maotai-flavor liquor technology, applied in manufacturing computing systems, character and pattern recognition, instruments, etc., can solve the problems of strong subjectivity of sensory evaluation, limited experience of evaluators, and long time spent. To achieve the effect of simplifying the production and processing of samples, maintaining reputation and quality, and simplifying sample preparation

Active Publication Date: 2021-01-01
贵州国台酒业集团股份有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

There are many merchants in the market who use non-authentic Daqu Maotai-flavored liquors such as Broken Sand Wine and Fansha Wine to pretend to be authentic Daqu Maotai-flavored Baijiu for profit, resulting in irregularities in the Maotai-flavored liquor market.
[0005] At present, in the Maotai-flavored liquor market, the process discrimination of unknown wine samples is mainly judged by sensory evaluation, but the sensory evaluation has strong subjectivity, vague and uncertain factors, and is limited by the experience of the appraiser
The prior art also uses gas chromatography (GC) to analyze the components of liquor, but this method mainly focuses on the research of the microscopic chemical components of liquor. The process of authentic Daqu Maotai-flavored wine (second-generation wine) requires a lot of time to find out the difference in the process. At the same time, the detection of unknown samples also takes an hour or two, and it takes a long time

Method used

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  • Method for differentiating Maotai-flavor liquor brewing processes based on partial least square method
  • Method for differentiating Maotai-flavor liquor brewing processes based on partial least square method
  • Method for differentiating Maotai-flavor liquor brewing processes based on partial least square method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0049] 1. Collect 18 broken sand wines and 30 Kunsha wines from different manufacturers in Maotai Town, Guizhou Province, and collect infrared spectra, such as figure 2 . Instrument: Bruker Tensor 27 Fourier transform infrared spectrometer, ATR crystal is Ge, 17 reflections. Acquisition parameters: 4000-650cm -1 , resolution 8cm -1 , scanned 32 times, the scanning background was absolute ethanol, and the washing solution was absolute ethanol.

[0050] 2. Spectral data processing

[0051] (1) Import the data into The Unscrambler 10.4, for 4000-700cm -1 Spectral preprocessing, including the following processing (individually or superimposed): no processing (RAW), smoothing (Smoothing), normalization (Normalize), first-order derivative (1stDerivative), second-order derivative (2nd Derivative), baseline correction (Baseline ), SNV, Spectroscopic, De-trending, MSC.

[0052] (2) Hotelling's T 2 After analysis, no abnormal sample points were found, and all data entered the ne...

Embodiment 2

[0064] 1. Collect 35 second-generation wines and 30 authentic Daqu sauce-flavored wines from different manufacturers in Maotai Town, Guizhou Province, and collect infrared spectra. Instrument: Bruker Tensor 27 Fourier transform infrared spectrometer, ATR crystal is Ge, 17 reflections. Acquisition parameters: 4000-650cm -1 , resolution 8cm-1, scanning 32 times, scanning background is absolute ethanol, washing solution is absolute ethanol.

[0065] 2. Spectral data analysis

[0066] (1) Import the data into The Unscrambler 10.4, for 4000-700cm -1 Spectral preprocessing, including the following processing (individually or superimposed): no processing (RAW), smoothing (Smoothing), normalization (Normalize), first-order derivative (1stDerivative), second-order derivative (2nd Derivative), baseline correction (Baseline ), SNV, Spectroscopic, De-trending, MSC.

[0067] (2) Hotelling's T 2 Analysis, no abnormal sample points were found, and all data entered the next step of model...

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Abstract

The invention discloses a method for differentiating Maotai-flavor liquor brewing processes based on a partial least square method in the technical field of liquor discrimination. The method comprisesthe following steps of carrying out infrared spectroscopic analysis on Maotai-flavor liquor with a known process, setting a virtual value for each brewing process according to the difference of Maotai-flavor liquor under different brewing processes, setting an interval range determined by each process, acquiring a judgment model after data processing, processing and experimenting an unknown sample, predicting to obtain a numerical value, and acquiring the brewing process according to the interval range in which the predicted value falls. According to the method, authentic Daqu Maotai-flavor liquor and non-authentic Daqu Maotai-flavor liquor can be distinguished, the differentiation accuracy rate reaches 92%, the differentiation only needs 10 min, the time is short, the cost is low, and application and popularization are convenient.

Description

technical field [0001] The invention relates to the technical field of liquor discrimination, in particular to a method for discriminating the brewing process of Maotai-flavor liquor based on a partial least square method. Background technique [0002] Maotai-flavored liquor, also known as Maoxiang-flavored liquor, is one of the main flavor types of liquor in my country. The style of the liquor presents the characteristics of "prominent sauce aroma, elegant and delicate, full-bodied, long aftertaste, and lasting fragrance in empty cups". Maotai-flavored liquor is a typical representative of complex systems, with complex components, and the quality and price of liquor with different brewing processes vary greatly. Common Maotai-flavored liquor can be divided into Kunsha wine, broken sand wine, fansha wine and Chuansha wine. Kunsha wine, or "bundle wine", is a traditional sauce-flavored liquor craft, which is often called authentic Daqu sauce-flavored liquor. The local Hongy...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F30/20G06K9/62
CPCG06F30/20G06F18/2135G06F18/24Y02P90/30
Inventor 卢君王凡唐平山其木格王丽毕荣宇孟天毅冯海燕梁青松李长文
Owner 贵州国台酒业集团股份有限公司
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