Quality control material for metabolomics detection and quality control method of quality control material

Abstract

The invention discloses a quality control material for metabolomics detection and a quality control method of the quality control material. The quality control material comprises mixed standard samples of 4,4'-methylene bis(2-chloroaniline), p-anisidine, L-tyrosine methyl ester, 3-chloroaniline, 2,4-dimethyl quinoline, sulfapyridine, atrazine, sulfadoxine, DL-leucine, N-benzoyl-L-tyrosine ethyl ester, 6-phenyl-2-thiouracil, N-(o-toluoyl) glycine, 2-methyl-5-nitroimidazole-1-ethanol, glycyrrhetinic acid, flavanone, Epsilon-caprolactone and 2-aminopyridine. 17 standard samples in the method comefrom different material categories and are very stable, simple in preparation and small in amount; and the quality control material disclosed by the invention can accurately reflect the state of a chromatograph or a mass spectrometer.

Description

technical field [0001] The invention belongs to the technical field of mass sample detection of metabolomics, and in particular relates to a quality control product for metabolomics detection and a quality control method thereof. Background technique [0002] Metabolomics is a discipline that studies the dynamic changes of biological endogenous small molecule metabolites before and after organisms are stimulated or disturbed by using chemical analysis techniques and quantitative methods, and determines the correlation between these changes and biological processes. [0003] Liquid chromatography-mass spectrometry is widely used in metabolomics detection due to its advantages of high throughput, high resolution, high sensitivity, suitable for detection of high boiling point, thermal instability and high molecular weight compounds. However, affected by factors such as the sample pre-processing method, the state of the instrument itself, and the environment, the instrument fluc...

AI Technical Summary

Problems solved by technology

However, affected by factors such as the sample pre-processing method, the state of the instrument itself, and the environment, the instrument fluctuates during the data collection process. It is very important to judge whether the fluctuation of the instrument is within the normal range.

However, the existing technology needs to set up different quality control products for each experiment. The operation is cumbersome and unstable. The detection signals are easy to interfere with each other, the detection peaks overlap, or the response is not good. It is difficult to monitor accurately, or it is difficult to judge the experimental results. , and sometimes even cause instrument contamination, so how to provide a quality control method that is efficient, fast, accurate, stable, does not require cumbersome and repetitive operations, and detects a large number of different types of samples at the same time, and can accurately determine the quality of metabolomics for instrument detection status The control method is a technical problem to be solved

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