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Method for quickly detecting yellow wine quality index

A rice wine and quality technology, which is applied in the detection field of rice wine quality indicators, can solve the problems of poor timeliness of analysis results, cumbersome operation, and complexity, and achieve the effects of improving timeliness, simple operation, and improving production efficiency

Inactive Publication Date: 2008-07-09
陈郁
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AI Technical Summary

Problems solved by technology

[0003] At present, the national standards for detecting indicators such as alcohol content, total acid, total sugar, ammonia nitrogen, non-sugar solids, volatile esters, and color rate in rice wine still use conventional analysis methods, which are cumbersome and complicated to operate. The timeliness of the results is poor

Method used

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  • Method for quickly detecting yellow wine quality index
  • Method for quickly detecting yellow wine quality index
  • Method for quickly detecting yellow wine quality index

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example

[0044] 2.1 Near-infrared spectrum of rice wine samples

[0045] Using the Fourier transform near-infrared spectrometer and the liquid fiber optic probe to scan and analyze the yellow rice wine samples, a clear spectrum was obtained (see Figure 1). The distinctive spectral absorption features provide a rich information basis for the quantitative analysis of yellow rice wine.

[0046] 2.2 Rice wine alcohol model

[0047] 2.2.1 Alcohol model establishment

[0048] The spectrum was preprocessed by first derivative, and the mathematical model was established by partial least squares method. Cross-check the obtained model, as shown in Figure 2, the correlation coefficient R between the predicted value of the model and the real value 2 It can reach 99.71, the root mean square error of cross-validation is 0.143, and the average prediction deviation is as low as 0.0008%, which shows that the prediction accuracy of the model is very high.

[0049] 2.2.2 Alcohol model test

[0050]T...

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Abstract

The invention relates to a detection method of quality index of yellow rice wine, in particular to a method for rapidly detecting quality index of yellow rice wine, which has simple operation, improved detection speed and greatly improved time efficiency and production efficiency. The method comprises the following steps of: (1) scanning a yellow rice wine sample to be detected by Fourier transform near infrared spectrometer and a liquid fiber probe to obtain the spectrum of the yellow rice wine sample; and (2) sending the spectrum of the yellow rice wine sample obtained in step (1) to a quantitative spectrum analysis software package, and calculating the contents of quality indexes of the yellow rice wine sample by using a pre-constructed quality index model of the yellow rice wine, wherein the quality indexes comprise one or more of alcohol degree, total acid, total sugar, ammonia nitrogen, non-sugar solids, volatile ester and color ratio. The invention has the advantages of simple operation, improved detection speed, no pollution in the detection process and nondestructive detection, and can be further used for production line to achieve online detection and control.

Description

technical field [0001] The invention relates to a method for detecting the quality index of rice wine, in particular to a method for quickly detecting the quality index of rice wine. Background technique [0002] Rice wine is a brewed wine produced by cooking, saccharification, fermentation, pressing, filtering, storage, blending and other processes with rice, millet, corn, millet, wheat and other grains as the main raw materials. Amino acid nitrogen and alcohol content are two important physical and chemical indicators affecting the quality of rice wine in the production process of rice wine. Amino acid nitrogen, also known as amino nitrogen or ammonia nitrogen, can reflect the total level of amino acids contained in rice wine. Alcohol refers to the number of milliliters of alcohol contained in a 100ml wine sample. It is related to the stability of product quality and the important content of quality assessment. These two indicators are of practical significance for improv...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01N21/27G06F17/10
Inventor 陈郁
Owner 陈郁
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