Method for detecting medicated leaven fermentation process quality on line by using near infrared spectrum

A fermentation process and detection method technology, which is applied in measuring devices, material analysis through optical means, instruments, etc., can solve the problems of inability to effectively control the production process of Liu Shenqu, time-consuming and other problems

Inactive Publication Date: 2015-05-06
BEIJING UNIV OF CHINESE MEDICINE
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Problems solved by technology

There are many methods for the determination of amylase and protease activities, and the commonly

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  • Method for detecting medicated leaven fermentation process quality on line by using near infrared spectrum
  • Method for detecting medicated leaven fermentation process quality on line by using near infrared spectrum
  • Method for detecting medicated leaven fermentation process quality on line by using near infrared spectrum

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Embodiment 1

[0063] The near-infrared spectrometer used in this embodiment is produced by FOSS. The NIR spectroscopy data processing adopts MATLAB R2011b analysis software.

[0064] 1. Materials and methods

[0065] 1.1 Sample preparation

[0066] Weigh the raw materials according to the following Liu Shenqu formula:

[0067] A. Flour 60g, wheat bran 60g, bitter almond 4.8g, red bean 4.8g, artemisia annua 2.8g, Xanthium 2.8g, Polygonum spp. 2.8g;

[0068] B. Flour 120g, bitter almond 4.8g, red bean 4.8g, artemisia annua 2.8g, Xanthium 2.8g, Polygonum spp. 2.8g;

[0069] The above two groups of raw materials are respectively placed in two fermentation tanks, respectively inoculated with 10% Bacillus subtilis, and solid-state pure seed fermentation is performed. The fermentation process was carried out for 7 days, and samples were taken every 4-6 hours to collect Liushenqu samples with different fermentation times. A total of 35 samples of the flour-wheat bran fermentation group and 32 samples of the...

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Abstract

The invention discloses a method for detecting medicated leaven fermentation process quality indexes on line. The method comprises the following steps: (1) sampling at different medicated leaven fermentation time points; (2) obtaining the near infrared spectrum data of each sample by adopting a diffuse reflectance method, and measuring the protease activity and/or the amylase activity of each sample; (3) establishing the correlation between the near infrared spectrum data of each sample and the protease activity of each sample and/or the correlation between the near infrared spectrum data of each sample and the amylase activity of each sample by adopting a least square support vector machine method, a partial least square method or a neural network, preferentially adopting the least square support vector machine method to obtain an enzyme activity predication model based on a near infrared spectrum; and (4) detecting the medicated leaven fermentation process quality indexes on line by adopting the enzyme activity predication model. The method disclosed by the invention can be used for controlling the production process quality rapidly in real time and has the advantages of wide application range and good applicability.

Description

Technical field [0001] The invention relates to a near-infrared online quality detection method for the fermentation process of Liushenqu. Background technique [0002] Liushenqu is the most representative traditional Chinese medicine fermented product. It is made from bitter almonds, red bean, fresh artemisia annua, fresh cocklebur, fresh spicy polygonum, etc., mixed with flour (or wheat bran) and fermented. The koji has a long history and is widely used. [0003] The application of fermentation technology in the processing of traditional Chinese medicine has a long history. It refers to processed or purified medicinal materials or medicinal materials mixed with auxiliary materials under certain humidity and temperature conditions, using enzymes and microorganisms to decompose and catalyze. The preparation method of making medicine foam and raw clothing. [0004] At present, the control of the traditional fermentation and processing process of Liushenqu is mostly based on subjecti...

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Application Information

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IPC IPC(8): G01N21/359
Inventor 史新元戚岑聪林兆洲
Owner BEIJING UNIV OF CHINESE MEDICINE
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