Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

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
View PDF1 Cites 12 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

There are many methods for the determination of amylase and protease activities, and the commonly used methods are Folin-phenol method and DNS method. effective control of the production process

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • 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

Examples

Experimental program
Comparison scheme
Effect test

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...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

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...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
IPC IPC(8): G01N21/359
Inventor 史新元戚岑聪林兆洲
Owner BEIJING UNIV OF CHINESE MEDICINE
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com