Multi-index rapid detection method for radix astragali

A detection method and multi-indicator technology, applied in the field of near-infrared detection, to improve data processing efficiency and model training accuracy, shorten detection time, and achieve good stability

Active Publication Date: 2015-07-22
ZHEJIANG UNIV
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  • Abstract
  • Description
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  • Application Information

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Problems solved by technology

However, most of these patent documents only focus on a single or a small number of index components, and most of them use the partial least squares regression algorithm as the modeling method of

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  • Multi-index rapid detection method for radix astragali
  • Multi-index rapid detection method for radix astragali
  • Multi-index rapid detection method for radix astragali

Examples

Experimental program
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Effect test

Embodiment 1

[0043] Example 1: Method for Determination of Moisture and Extract Content in Radix Astragali Medicinal Materials Based on BP Artificial Neural Network Algorithm of Principal Component Analysis

[0044] (1) Near-infrared spectroscopy data collection of Astragalus medicinal materials

[0045] After crushing 69 Astragalus medicinal materials, they passed through a 80-mesh sieve to obtain Astragalus medicinal medicinal powder with a relatively uniform particle size. Weighed 2 g of medicinal medicinal powder and placed it in a weighing bottle to keep the surface of the powder flat. A diffuse reflection optical fiber probe was used to collect near-infrared spectra. The thickness of the powder is 1 cm, the distance between the probe and the powder surface is 10 cm, the measuring diameter of the probe is 10 mm, the air is used as the reference, the number of scans is 32, and the resolution is 8 cm -1 , the scanning spectral range is 4000-12000 cm -1 3 single spectra were obtained th...

Embodiment 2

[0060]Example 2: Detection method of low-content indicators of astragalus (astragaloside IV and calycosin glucoside content) based on the BP artificial neural network algorithm of principal component analysis

[0061] (1) Determination of low content indicators of Astragalus medicinal materials

[0062] ① Determination of astragaloside IV by high performance liquid chromatography: a. The preparation method of the test solution is: take about 4 g of Astragalus medicinal material powder, accurately weigh it, put it in a Soxhlet extractor, add methanol 40 mL precisely, and soak overnight , add an appropriate amount of methanol, heat and reflux for 4 h, recover the solvent from the extract and concentrate to dryness, add 10 mL of water to the residue, dissolve, shake and extract 4 times with n-butanol saturated with water, 40 mL each time, combine the n-butanol solution, and use Fully wash the ammonia test solution twice, 40mL each time, discard the ammonia solution, evaporate the...

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Abstract

The invention provides a multi-index rapid detection method for radix astragali. The multi-index rapid detection method for radix astragali comprises the following steps: determining quality control indexes by acquiring the radix astragali, determining a modelling wave band of the indexes, and building a quantitative calibration model and quantitative release standards for near infrared spectrum characteristic information and contents of moisture, extract, astragaloside and calycosin-7-glucoside in the radix astragali by adopting a BP artificial neural network calculation method based on principal component analysis. The multi-index rapid detection method for the radix astragali can be used for accurately determining contents of moisture, extract, astragaloside and calycosin-7-glucoside in the radix astragali at the same time; compared with the traditional method, the built detection analysis method and quantitative release standards can be used for more quickly judging whether the radix astragali is qualified or not and for determining whether the radix astragali can enter into a follow-up production process link; the built detection analysis method and quantitative release standards can meet rapid and efficient field requirements and have an application prospect in screening of production medicinal materials and comprehensive quality evaluation.

Description

technical field [0001] The invention belongs to the field of near-infrared detection, and relates to a multi-indicator rapid detection method of Astragalus medicinal material, which is a multi-indicator rapid detection method of Astragalus medicinal material based on the BP artificial neural network algorithm of principal component analysis. Background technique [0002] Astragalus is a leguminous plant, Astragalus mongolica Astragalus memhranaceus (Fisch.) Bge.var monghoficus (Bge.) Hsiao or Astragalus membranaceus Astragalus memhranaceus (Fisch.) Dried root of Bge. Sweet in taste, warm. Return lung, spleen meridian, have the effects such as invigorating qi and solidifying the surface, diuretic detoxification, evacuation of pus, astringing sores and promoting granulation. Astragalus membranaceus is a commonly used raw material in the production of traditional Chinese medicine preparations, but it has a wide range of sources and varieties. The quality of the same var...

Claims

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Application Information

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IPC IPC(8): G01N5/04G01N30/02G01N21/359G01N21/3563
Inventor 陈勇耿姝吴永江刘雪松金叶
Owner ZHEJIANG UNIV
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