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Near-infrared spectral technology-based method for performing chemical mode identification on authenticity of traditional Chinese medicine, namely, spina gleditsiae

A technology of near-infrared spectroscopy and pattern recognition, which is applied in the field of chemical pattern recognition based on near-infrared spectroscopy to identify the authenticity of traditional Chinese medicine Saponaria thorn, to achieve accurate and reliable results, eliminate model interference, and reduce complexity

Pending Publication Date: 2018-09-07
SHENZHEN INST FOR DRUG CONTROL SHENZHEN TESTING CENT OF MEDICAL DEVICES
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Problems solved by technology

[0004] However, in this field, there is currently no chemical pattern recognition method for genuine and counterfeit Chinese saponin thorns, and how to quickly and accurately distinguish between genuine and counterfeit Chinese saponin thorns is still the focus of research in this field

Method used

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  • Near-infrared spectral technology-based method for performing chemical mode identification on authenticity of traditional Chinese medicine, namely, spina gleditsiae
  • Near-infrared spectral technology-based method for performing chemical mode identification on authenticity of traditional Chinese medicine, namely, spina gleditsiae
  • Near-infrared spectral technology-based method for performing chemical mode identification on authenticity of traditional Chinese medicine, namely, spina gleditsiae

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Embodiment 1

[0050] In this embodiment, the instruments and software used are as follows:

[0051] VERTEX 70 Fourier transform near-infrared spectrometer (German Bruker Company), the detector is indium gallium arsenide (InGaAS); RT-04A high-speed pulverizer (Hong Kong Hongquan Pharmaceutical Machinery Company). Spectral data preprocessing uses OPUS 6.5 software (Bruker, Germany), continuous projection algorithm, Kennard-Stone algorithm operation and BP neural network establishment use Matlab R2014a software (Mathworks, USA), cluster analysis and discriminant analysis use SPSS 21.0 software (IBM Corporation, USA).

[0052] In this embodiment, the samples used are as follows:

[0053] Collected 32 batches of Gleditsia sinensis Lam., 4 batches of Gleditsia japonica Miq., 3 batches of Gleditsia microphylla Gordon ex Y.T.Lee, 4 batches of Rubus cochinchinensis Tratt., A total of 43 batches of samples. All the above samples have been identified and confirmed to be the authentic products of th...

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Abstract

The invention provides a near-infrared spectral technology-based method for performing chemical mode identification on the authenticity of a traditional Chinese medicine, namely, spina gleditsiae. According to the method, the authenticity of a traditional Chinese medicine, namely, the spina gleditsiae is subjected to the chemical mode identification by combination of a near-infrared spectral collection method, a first-order derivative preprocessing method, a continuous projection algorithm, a Kennard-Stone algorithm and a step algorithm, so that a result of the mode identification method is accurate and reliable, and the spina gleditsiae and counterfeit products can be accurately distinguished. The near-infrared spectral technology-based chemical mode identification method for the qualityof the spina gleditsiae is established for the first time; the spina gleditsiae and the counterfeit products can be accurately distinguished; and a scientific basis is provided for quality evaluationof the spina gleditsiae.

Description

technical field [0001] The invention belongs to the technical field of chemical analysis, and relates to a method for chemical pattern recognition based on near-infrared spectrum technology for the authenticity of traditional Chinese medicine Saponaria thorn. Background technique [0002] Gleditsia sinensis Lam. is the dry thorn of Gleditsia sinensis Lam., which has the effects of detoxifying, reducing swelling, killing insects and discharging pus (Chinese Pharmacopoeia 2015 Edition. One [S]. 2015:177-178). Modern pharmacological experiments have shown that flavonoids such as flavonoids and quercetin in Saponaria thorn have good anti-tumor effects (Xu Zhe, Zhao Xiaodi, Wang Yimeng, etc. Isolation, identification and activity determination of anti-tumor active ingredients in Saponaria thorn[ J]. Journal of Shenyang Pharmaceutical University. 2008, (2): 108-111). With the increase of market demand, there is a phenomenon of using other plant thorns of inferior quality (such as...

Claims

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Application Information

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IPC IPC(8): G06K9/62G01N21/359
CPCG01N21/359G06F18/2115G06F18/2132G06F18/23G06F18/24G06F18/214G01N2201/1296G01N21/3504G01N21/3563G01N21/3577
Inventor 王铁杰王丽君江坤闫研王珏殷果李菁王洋回音
Owner SHENZHEN INST FOR DRUG CONTROL SHENZHEN TESTING CENT OF MEDICAL DEVICES
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