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Veterinary drug high-throughput clustering analysis method

A cluster analysis, high-throughput technology, applied in the direction of drug reference, testing drug preparations, instruments, etc., can solve the problems of the difficult coexistence of mixed standard solutions, the lack of comprehensive consideration of the grouping method, and the poor linearity of the analyte. The effect of quality and safety testing work efficiency, reducing testing costs, and ensuring reliability

Active Publication Date: 2021-08-27
GUANGXI ACADEMY OF FISHERY SCI
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  • Claims
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Problems solved by technology

[0008] In view of the above deficiencies, the present invention discloses a high-throughput cluster analysis method for veterinary drugs, which solves the problems of lack of comprehensive consideration in grouping methods, poor linearity of some analytes, unqualified recovery rate, and difficulty in stable coexistence of mixed standard solutions when extracting multi-category veterinary drugs. The problem

Method used

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  • Veterinary drug high-throughput clustering analysis method
  • Veterinary drug high-throughput clustering analysis method

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Experimental program
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Effect test

Embodiment 1

[0038] 18 kinds of macrolides, 3 kinds of lincosamines, 6 kinds of chloramphenicols, 30 kinds of quinolones, 27 kinds of sulfonamides, 11 kinds of tetracyclines, 6 kinds of avermectins, triphenylmethanes 4 types, 31 types of hormones, 8 types of quinoxalines, 2 types of glycopeptides, and 4 types of metabolites of nitrofurans were used as veterinary drug samples for detection. See Table 5 for specific types of veterinary drugs. Since nitrofuran metabolites have no characteristic fragment ions during instrumental analysis, they need to be converted into corresponding derivatives during pretreatment before they can be analyzed on the machine, so nitrofuran metabolites are not used as samples for cluster analysis. After the derivatization is completed, grouping groups similar to its derivatives are added and extracted simultaneously.

[0039] The selected veterinary drug property indicators are polarity, acidity and alkalinity, logKow and matrix binding properties for high-throug...

Embodiment 2

[0078] Ten kinds of quinolones, 11 kinds of tetracyclines, 6 kinds of avermectins, 4 kinds of triphenylmethanes, 10 kinds of sulfonamides and 5 kinds of quinoxalines were used as the veterinary drug samples for detection, and the selected veterinary drug properties were extremely high. According to the method described in Example 1, the polarity, acidity, logKow and matrix binding properties of veterinary drugs were assigned and standardized, specifically See Table 9 for the types and properties of veterinary drugs.

[0079] Table 9 Veterinary drug samples and property data of hierarchical cluster analysis

[0080]

[0081]

[0082] Using the hierarchical clustering method, assuming that each sample is a class, calculate the distance between 46 samples; merge the two classes with the closest distance into a new class according to the calculated distance between the samples; then calculate the new class and other classes The distances of various types are also combined acc...

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Abstract

The invention discloses a veterinary drugs high-throughput clustering analysis method. According to the invention, multiple types of veterinary drugs are taken as samples, and the properties of the veterinary drugs are taken as evaluation indexes, the evaluation indexes of the veterinary drug including but are not limited to polarity, acid-base property, dissociation constant, biological enrichment factor, solubility, matrix binding characteristic and n-caprylic alcohol-water partition coefficient. The method comprises the following steps: firstly, assigning evaluation index information of veterinary drugs; performing standardization treatment; performing effective grouping by adopting a clustering analysis method, wherein the clustering analysis method comprises a k-means clustering algorithm, a hierarchical clustering method, a two-step clustering method and the like; selecting the most suitable extraction solvent and extraction method according to the generality of veterinary drugs in the group. According to the invention, the problems of insufficient comprehensive consideration of a grouping method, poor linearity of part of the to-be-detected substances and unqualified recovery rate during extraction of multiple types of veterinary drugs are solved, a scientific grouping basis is provided for grouping extraction of the veterinary drugs so as to adapt to high-efficiency food quality safety supervision requirements, and the invention also has positive significance on reduction of detection cost, realization of rapid detection and the like.

Description

technical field [0001] The invention belongs to the technical field of veterinary drug detection, and in particular relates to a high-throughput cluster analysis method for veterinary drugs. Background technique [0002] Veterinary medicine plays a very important role in the prevention and treatment of animal diseases and in improving the quality of animal products. However, due to the lack of scientific knowledge of some farmers and driven by economic interests, they use banned or eliminated veterinary drugs in the breeding process, use substitutes to replace key regulated veterinary drugs, and feed veterinary drugs of different types and functions at the same time, and the drug withdrawal period is not implemented Such behaviors have triggered many animal-derived food quality and safety accidents, which have brought great hidden dangers to public health. [0003] Due to the variety of veterinary drug residues, and the basic design idea of ​​my country's veterinary drug re...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62G01N33/15G06Q10/00G06Q10/06G16H70/40
CPCG16H70/40G06Q10/06393G06Q10/30G01N33/15G06F18/23213Y02W90/00
Inventor 黄鸾玉
Owner GUANGXI ACADEMY OF FISHERY SCI
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