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Quantitative research method for Dong e e-jiao, Fupai e-jiao and deer-horn gelatin

A technology for the quantification of Dong E E Jiao and Jiao, applied in the quantitative research of Dong E E Jiao and Deerhorn glue, and the field of Fu Jiao. Effect

Inactive Publication Date: 2020-04-17
山东金璋隆祥智能科技有限责任公司
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  • Abstract
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  • Claims
  • Application Information

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Problems solved by technology

[0002] The main component of donkey-hide gelatin is donkey skin, which has the functions of nourishing blood, nourishing yin, moistening dryness, and stopping bleeding. The main component of donkey skin is collagen, and the amino acid composition of collagen is relatively simple, while the amino acid similarity between fake collagen and donkey skin collagen up to 90%, it is difficult to identify after being processed into donkey-hide gelatin, which seriously affects the curative effect of donkey-hide gelatin and the safety of clinical medication
[0003] At present, the existing quality evaluation methods of donkey-hide gelatin include electrophoresis method, HPLC method, amino acid fingerprint and peptide map method, and molecular identification method. Therefore, this method is difficult to achieve standardization. The amino acid composition of isotype collagens from different animal sources has a similarity of 90%. Therefore, the quality evaluation of HPLC method has certain limitations. Amino acid fingerprinting, peptide mapping and molecular identification methods are At present, the use method of quality evaluation is more feasible, but these two methods still need to be further improved in terms of standardization. In recent years, the research on the quality control method and technology of Ejiao has become difficult and hot. Quantitative analysis method of donkey-hide gelatin

Method used

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  • Quantitative research method for Dong e e-jiao, Fupai e-jiao and deer-horn gelatin
  • Quantitative research method for Dong e e-jiao, Fupai e-jiao and deer-horn gelatin
  • Quantitative research method for Dong e e-jiao, Fupai e-jiao and deer-horn gelatin

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Embodiment

[0028] Such as Figure 1-5 As shown, the embodiment of the present invention provides a method for quantitative research of donkey-hide donkey-hide gelatin, Fujiao, and antler gum, comprising the following steps:

[0029] S1. First establish the MSC spectral preprocessing algorithm. In the algorithm, it is assumed that all samples have the same scattering coefficient at each wavelength point. The operation is based on the spectral array of a group of samples. It is believed that each spectrum should be linearly related to the average spectrum of the calibration set. , by shifting and rotating each spectrum to make it as linear as possible with the average spectrum. Among them, the linear relationship between each spectrum and the average spectrum is fitted by the least square method: Then X i,MSC =(X i -a i ) / b i ; where X i is the spectrum of the i-th sample, is the average spectrum of the group of samples, e i is the residual spectrum, which is ideally considered t...

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Abstract

The invention provides a quantitative research method for Dong e e-jiao, Fupai e-jiao and deer-horn gelatin, which relates to the technical field of e jiao quantitative research. The quantitative research method for Dong e e-jiao, Fupai e-jiao and deer-horn gelatin comprises the following steps: S1, firstly, an MSC spectrum preprocessing algorithm is established; S2, a BP-ANN modeling method is established; S3, samples are prepared, wherein the samples comprise 24 batches of samples of Dong e e-jiao, Fupai e-jiao and deer-horn gelatin; and S4, the sample is placed in a sample cup, the sample cup is ensured to be covered with the sample, an original spectrum of the sample is obtained by using a GSA102 type near-infrared spectrometer, and pretreatment is carried out by using an MSC algorithm. The MSC method can effectively eliminate the scattering influence caused by uneven particle distribution and particle size, and is especially suitable for powder near infrared spectrum pretreatment;the BP-ANN has the capabilities of autonomous learning and parallel processing, and the modeling method is relatively high in prediction accuracy.

Description

technical field [0001] The invention relates to the technical field of quantitative research on donkey-hide gelatin, in particular to a method for quantitative research on donkey-hide donkey-hide gelatin, fujiao and antler gum. Background technique [0002] The main component of donkey-hide gelatin is donkey skin, which has the functions of nourishing blood, nourishing yin, moistening dryness, and stopping bleeding. The main component of donkey skin is collagen, and the amino acid composition of collagen is relatively simple, while the amino acid similarity between fake collagen and donkey skin collagen Up to 90%, it is difficult to identify after being processed into donkey-hide gelatin, which seriously affects the curative effect and clinical drug safety of donkey-hide gelatin. [0003] At present, the existing quality evaluation methods of donkey-hide gelatin include electrophoresis method, HPLC method, amino acid fingerprint and peptide map method, and molecular identifi...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01N21/359
CPCG01N21/359
Inventor 邹振民董海平孙茂耿龙飞朱传港
Owner 山东金璋隆祥智能科技有限责任公司
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