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Method for predicting storage year of baijiu

A liquor and vintage technology, applied in the field of liquor vintage prediction, can solve the problems of difficult to eliminate noise interference, low detection accuracy, complicated analysis steps, etc., and achieve the effects of reliable results, stable and mature technology, and improved modeling quality.

Active Publication Date: 2021-09-17
JIANGNAN UNIV +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The above research methods provide a variety of identification schemes for the identification of liquor vintages, but these methods either require more professional large-scale equipment, or the analysis steps are more cumbersome and the analysis time is longer
[0004] In addition, liquor is a complex system, and the volatile components are affected by many factors, so the information of aging is often submerged in the noisy background
At present, infrared spectroscopy, fluorescence spectroscopy, Raman spectroscopy or electrochemical methods are commonly used for liquor age identification. It is difficult to eliminate noise interference and the detection accuracy is not high through the entire data set of volatile components to determine the age of liquor.

Method used

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  • Method for predicting storage year of baijiu
  • Method for predicting storage year of baijiu
  • Method for predicting storage year of baijiu

Examples

Experimental program
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Effect test

Embodiment 1

[0062] The method for predicting the storage year of liquor in this embodiment includes:

[0063] A. Liquor sample preparation: 7 production batches of Luzhou-flavor liquor base liquor were reduced to 52% vol and filtered, each batch was divided into 10 sample bottles, and stored in sequence for 0 months and 2 months , 4 months, 6 months, 9 months, 12 months, 15 months, 17 months, 21 months and 24 months, a total of 70 sample points with different storage times for 7 batches;

[0064] B. Extraction sample preparation: take the liquor base liquors with different storage time as the samples to be tested, use ultrapure water to reduce the alcohol content of the liquor samples to below 10% vol, and add sodium chloride and internal standard at the same time to obtain the samples to be tested Sample;

[0065] C. Extraction of volatile compounds: use the headspace solid-phase microextraction method to extract volatile compounds from the sample to be tested obtained in step B through...

Embodiment 2

[0097] The method for predicting the storage year of liquor in this embodiment includes:

[0098] A. Take 5 brands of Luzhou-flavor bottled liquor and divide them into 4 groups according to the factory labels: 0-1 year, 1-2 year, 2-3 year and 3-4 year. One sample for each year, a total of 20 samples, and each sample was measured 6 times in parallel. All the other analyzes are consistent with Example 1;

[0099] B-D, the method for obtaining the fingerprint of liquor volatile flavor substances is consistent with step B to step D of embodiment one;

[0100] E, the data set is divided into a test set and a training set in a ratio of 8:2;

[0101] F. On the test set, use the extreme random forest classification model to collect the top 25-80 features that contribute to the classification and analysis of the storage year of liquor (the first feature screening method); use F_classif and mutual_info_classif in the feature selection module of sklearn to screen and liquor Store the to...

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Abstract

The invention relates to the field of baijiu year prediction, in particular to a method for predicting the storage year of baijiu and aims to rapidly and accurately predict the storage year of baijiu. The method for predicting the storage year of Baijiu comprises the following steps of: acquiring volatile flavor component fingerprint spectrum of Baijiu with different storage time by adopting GC-MS; screening out modeling features from the fingerprint spectrum through extreme random forest regression and sklearn features; taking the modeling features as features of an XGboost regression model to establish a prediction model; and finally predicting the storage year of the baijiu through the prediction model. The method is suitable for rapidly and accurately predicting the storage year of the baijiu.

Description

technical field [0001] The invention relates to the field of liquor year prediction, in particular to a method for predicting the storage year of liquor. Background technique [0002] Wine tends to get better and better with age. In response to this feature, there are many "vintage wines" on the market today, and the prices are relatively expensive. However, there are currently some companies that label the year more casually, which increases the degree of confusion in the vintage wine market and affects the image of the liquor industry. Therefore, consumers strongly call for strengthening the regulation of the vintage liquor market, and liquor companies are also investing more in research and development, with a view to establishing a method for identifying vintages and clarifying the audiovisual. Under this market demand, analyzing the high-quality characteristics of vintage wine, using scientific language and data to display the product quality of vintage wine, and estab...

Claims

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Application Information

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IPC IPC(8): G01N30/06G01N30/88G01N30/86
CPCG01N30/06G01N30/88G01N30/8686Y02P90/30
Inventor 许正宏张晓娟翟伟绩陆震鸣柴丽娟史劲松王松涛沈才洪
Owner JIANGNAN UNIV
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