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Method and device for detecting fermentation process of grape wine malolactic

A technology of malolactic fermentation and detection method, which is applied in measuring devices, material analysis through optical means, instruments, etc., can solve the problems of high price and achieve the effects of less pollution, high speed and high efficiency

Pending Publication Date: 2022-07-29
学林苑深圳葡萄酒文化有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the unit price of this instrument is nearly one million yuan, which is very expensive.

Method used

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  • Method and device for detecting fermentation process of grape wine malolactic
  • Method and device for detecting fermentation process of grape wine malolactic
  • Method and device for detecting fermentation process of grape wine malolactic

Examples

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Effect test

Embodiment 1

[0047] The present embodiment provides a method for detecting a wine malolactic fermentation process, comprising the following steps:

[0048] S1, collect 50 groups of fermentation broth samples in the malolactic fermentation process at different time periods;

[0049] S2, irradiating the fermentation broth sample with near-infrared light with a wavelength of 800-2500 nm;

[0050] S3, collecting the intensity of light of different wavelengths after passing through the fermentation broth sample to obtain 50 sets of spectral data;

[0051] S41. Use the Denoising Auto-Encoder method in the BERT pre-training model to perform noise reduction and automatic encoding on 50 sets of spectral data to obtain 50*50-dimensional spectral data;

[0052] S42. Use the historical 50*50-dimensional spectral data as the input layer training sample of the ResNet34 model, and use the historical fermentation broth sample target substance malic acid content as the output layer training sample of the ...

Embodiment 2

[0057] The present embodiment provides a method for detecting a wine malolactic fermentation process, comprising the following steps:

[0058] S1, collect 100 groups of fermentation broth samples in the malolactic fermentation process at different time periods;

[0059] S2, irradiating the fermentation broth sample with near-infrared light with a wavelength of 800-2500 nm;

[0060] S3, collect the intensity of light of different wavelengths after passing through the fermentation broth sample, and obtain 100 sets of spectral data;

[0061] S41. Use the Denoising Auto-Encoder method in the BERT pre-training model to perform noise reduction and automatic encoding on 100 sets of spectral data to obtain 100*100-dimensional spectral data;

[0062] S42. Use the historical 100*100-dimensional spectral data as the input layer training sample of the ResNet34 model, and use the historical fermentation broth sample target substance malic acid content as the output layer training sample o...

Embodiment 3

[0068] In order to cooperate with the detection method for realizing the above-mentioned wine malolactic fermentation process, the present embodiment provides a detection device for the wine malolactic fermentation process, such as: figure 2 As shown, the device includes:

[0069] Sample bin: used to store the collected fermentation broth samples;

[0070] Light source module: including a miniature near-infrared spectrometer with a model of MicroNIR1700, which can emit near-infrared light with a wavelength of 950 to 1650 nm to irradiate the fermentation broth samples in the sample chamber;

[0071] Data acquisition module: collect the intensity of light of different wavelengths after passing through the fermentation broth sample through the receiver to obtain spectral data;

[0072] Data analysis module: The built-in pre-established target substance content prediction model is used to calculate the content of the target substance according to the spectral data obtained by th...

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Abstract

The invention discloses a method and a device for detecting a grape wine apple emulsion fermentation process. The detection method mainly comprises the following steps: collecting a wine fermentation liquor sample, obtaining spectral data of the sample, processing the spectral data by using an AI technology, and establishing a prediction model of the content of a target substance; collecting spectral data of fermentation liquor to be detected, and inputting the data into the established prediction model to calculate the content of the target substance in the fermentation liquor. According to the method, the near infrared spectroscopy and the AI technology are combined, the content of malic acid and / or lactic acid in the grape wine malolactic fermentation process is detected, and the method has the advantages of the near infrared spectroscopy. The detection device mainly comprises a sample bin, a light source module, a data acquisition module and a data analysis module. The device is small in size, convenient to carry and high in measuring speed, can be applied to field detection, is very economical and is expected to be popularized and applied.

Description

technical field [0001] The invention belongs to the technical field of substance detection, and in particular relates to a detection method and device for the process of wine malolactic fermentation. Background technique [0002] Malolactic fermentation (MLF) refers to the process in which Malic Acid is decomposed into Lactic Acid and carbon dioxide under the action of lactic acid bacteria. After the alcoholic fermentation of the wine, the malolactic fermentation occurs naturally. Malolactic fermentation has a positive effect on the quality and organoleptic properties of wine, it can convert the harsh and hard malic acid into a sour and soft lactic acid, reduce the acidity and astringency of the wine, improve the taste of the wine, modify the flavor and increase the Flavor complexity can also improve the biological stability of wine. Malolactic fermentation has an important impact on the final quality of most red wines, some white wines and sparkling wines, and the results...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01N21/3577G01N21/359
CPCG01N21/3577G01N21/359G01N2021/3595
Inventor 熊晓林
Owner 学林苑深圳葡萄酒文化有限公司
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