A correction method for multi-batch targeted metabonomic data

Abstract

A correction method for multi-batch targeted metabonomic data is provided. The method includes collecting a plurality of samples same as a sample to be detected to form QC samples; adding a QC samplebefore the sample to be detected to form a first QC sample, inserting one QC sample in subsequent each 8-15 samples to be detected, recording the sample inserting number n of the inserted QC samples,and performing detection and analysis on all samples in the batch under completely same conditions to obtain the concentration of a target metabolite of each sample of the batch; constructing a related linear fitting machine that is Y=a*n+b, with ratios Y of the detected concentrations of the target metabolite in all the QC samples to the concentrations of the target metabolite in the first QC samples detected in the first batch being adopted as vertical coordinates, and the sample inserting numbers ns of all QC samples of the batch being adopted as horizontal coordinates; and substituting thesample inserting number n of each sample of each batch into the equation to obtain a correction factor of each sample of the batch, and subjecting each sample to system error correction.

Description

technical field [0001] The invention relates to the fields of analytical chemistry and metabolomics, and is a method for correcting multiple batches of metabolomics data. Background technique [0002] Metabolomics is another important research field of systems biology after genomics and proteomics. It is based on group index analysis, high-throughput detection and data processing, and information modeling and system integration. The goal is to qualitatively identify and quantitatively describe the expression and modification changes of small molecule metabolites in biological matrices, reflecting the changes in the metabolic response of cells or tissues to external stimuli or genetic modifications. Targeted metabolomics is the detection and analysis of targeted metabolites. It is often necessary to analyze and verify a large number of samples. Usually, a large number of samples need to be tested in multiple batches, and the state of instrument response between batches may va...

AI Technical Summary

Problems solved by technology

Targeted metabolomics is the detection and analysis of targeted metabolites. It is often necessary to analyze and verify a large number of samples. Usually, a large number of samples need to be tested in multiple batches, and the state of instrument response between batches may vary. Different, resulting in errors in metabolic data between different batches. In order to integrate and analyze multiple batches of data from different batches, different personnel, and different instruments, we have established a correction method for multiple batches of targeted metabolomics data. Can meet the needs of long-term targeted metabolomics analysis

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