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Method for quickly identifying authenticity and quality of semen armeniacae amarae based on hyperspectral imaging technology

A technology of hyperspectral imaging and bitter almonds, which is applied in the direction of color/spectral characteristic measurement, measuring devices, instruments, etc., can solve the problems of time-consuming and labor-consuming, difficult to distinguish internal quality, etc., and achieve fast detection speed, fast non-destructive testing, accurate high rate effect

Pending Publication Date: 2021-06-22
ZHEJIANG UNIV OF TECH
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Problems solved by technology

[0004] The purpose of the present invention is to solve the problems of time-consuming, labor-intensive, destructive and difficult to distinguish internal quality of the traditional detection method of bitter almond medicinal materials in the actual large-scale production process of the traditional Chinese medicine industry, and to develop a method based on hyperspectral imaging technology to quickly identify the authenticity of bitter almonds Pros and cons

Method used

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  • Method for quickly identifying authenticity and quality of semen armeniacae amarae based on hyperspectral imaging technology
  • Method for quickly identifying authenticity and quality of semen armeniacae amarae based on hyperspectral imaging technology
  • Method for quickly identifying authenticity and quality of semen armeniacae amarae based on hyperspectral imaging technology

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Embodiment 1

[0050] This embodiment relates to a method for identifying bitter almond medicinal materials and peach kernel medicinal materials from different origins based on hyperspectral imaging technology. The specific detection steps are as follows:

[0051] 1. Sample Preparation

[0052] The sample set of origin classification includes Shaanxi, Inner Mongolia, Gansu, North Korea, and Inner Mongolia. There are 6 batches, 18 batches, 6 batches, 11 batches and 14 batches respectively. 30 grains are randomly selected for each batch, and a total of random 1650 samples of bitter almonds were drawn; the authenticity identification sample set included 720 samples of bitter almonds and 600 samples of peach kernels randomly selected.

[0053] 2. Hyperspectral image acquisition

[0054] (1) Sample hyperspectral image acquisition: start the hyperspectral instrument, after warming up for 30 minutes, perform multiple camera focusing and moving platform speed tests to make the collected sample imag...

Embodiment 2

[0076] This embodiment relates to a method for quickly detecting the content of amygdalin in bitter almond medicinal materials based on hyperspectral visualization image combined with CARS-PLS model, wherein the hyperspectral image acquisition and region of interest selection of bitter almond samples are according to 2-3 in Example 1 The specific detection steps are as follows:

[0077] 1. Sample Preparation

[0078] Collect 56 batches of bitter almond medicinal materials, each batch randomly selects 2 portions, each portion contains 30 grains, and a total of 112 portions are selected.

[0079] 2. HPLC analysis

[0080] Preparation of reference substance solution: Take an appropriate amount of amygdalin reference substance, weigh it accurately, add methanol to make a solution containing 40 μg per 1 ml, and obtain it.

[0081] The preparation of need testing solution: get about 0.25g of this product powder (through the No. 2 sieve), accurately weighed, put in a stoppered Erle...

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Abstract

The invention provides a method for quickly identifying authenticity and quality of semen armeniacae amarae based on a hyperspectral imaging technology, the method comprises the following steps: collecting hyperspectral images of semen armeniacae amarae samples of different producing areas and semen armeniacae amarae samples of easy-to-confuse varieties, and combining and comparing in pairs based on different preprocessing methods and classification models to realize classification and authenticity identification of semen armeniacae amarae medicinal materials of different producing areas; further based on a characteristic wave band extraction method of the amygdalin content, establishing a prediction model of the amygdalin content in the bitter apricot kernel medicinal material, and realizing quality identification of the bitter apricot kernel medicinal material is realized; according to the method, the quality of semen armeniacae amarae is comprehensively evaluated from inside to outside based on the hyperspectral imaging technology, a quick and lossless analysis method is provided for selection and identification of high-quality semen armeniacae amarae medicinal materials, and technical support is provided for industrial intelligent control of the quality of traditional Chinese medicinal materials.

Description

technical field [0001] The invention relates to a method for quickly and non-destructively identifying the authenticity of bitter almonds based on hyperspectral imaging technology, and belongs to the field of quality control of traditional Chinese medicines. Background technique [0002] Bitter almond is the dry mature seed of Prunus armeniaca L.var.ansu Maxim., Siberia apricot P.sibirica L., Northeast apricot P.mandshurica (Maxim.) Koehne or apricot P.armeniaca L. The important component of Fangmahuang Decoction is a natural Chinese herbal medicine. The active ingredient is amygdalin, which has pharmacological effects such as lowering Qi, relieving cough and asthma, lowering blood lipid and blood sugar, and anti-tumor. The 2020 edition of "Chinese Pharmacopoeia" stipulates that the content of amygdalin in bitter almond medicinal materials should not be less than 3.0%. High-quality Chinese medicinal materials are the first step to ensure the quality of finished Chinese pate...

Claims

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Application Information

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IPC IPC(8): G01N21/31G01N30/02G01N30/06G01N30/74
CPCG01N21/31G01N30/02G01N30/06G01N30/74
Inventor 郑洁张慧颜继忠殷文俊张璐姜慧洁
Owner ZHEJIANG UNIV OF TECH
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