Biomolecules mass spectrometry detection method

Abstract

The present invention provides a biomolecules mass spectrometry detection method. The mass spectrometry detection method comprises following steps: firstly performing data-independent mass spectrometry acquisition on a sample to be tested, to obtain mass spectrometry data; and then processing the mass spectrometry data, to obtain a detection result; wherein a cyclic scan mode of the data-independent mass spectrometry acquisition includes a first-level full scan and a data-independent secondary scan, and a fragmentation mode of the data-independent secondary scan is mixed fragmentation of intra-source collision-induced dissociation and high-energy collision dissociation. The mixed fragmentation mode in the mass spectrometric detection method significantly improves secondary fragmentation efficiency of parent ions, and obtains more abundant fragmentation information and a more complete secondary spectrum. When used for biomolecule detection, especially for lipidomics analysis, the method can significantly improve molecular identification quantity, and has high sensitivity, high accuracy and high throughput.

Description

technical field [0001] The invention belongs to the technical field of bioanalysis and detection, and in particular relates to a mass spectrometry detection method of biomolecules. Background technique [0002] Mass spectrometry is a universal chemical analysis method with high specificity and high sensitivity. The combination of mass spectrometry and different separation methods, especially the combination of gas chromatography and liquid chromatography with mass spectrometry, has become a separation and It is a reliable means to identify the composition and structure of complex mixtures, and has a wide range of applications in various fields such as biomedicine, public safety and environmental monitoring. In the field of biomedicine, omics research methods based on mass spectrometry technology provide powerful tools for predictive diagnosis of cancer, marker discovery, and mechanism research. [0003] The Data Dependent Acquisition (DDA) method is currently the most widel...

AI Technical Summary

Problems solved by technology

If the fragmentation efficiency is limited, the secondary spectrum rich in fragment information cannot be obtained, and the spectral library cannot be effectively matched to obtain reliable identification results

However, in the prior art, DIA methods all use a single fragmentation method, including a single collision-induced dissociation (CID) or a single high-energy collision dissociation (HCD), wherein CID is a collision-induced technique commonly used in ion trap mass spectrometry, However, there i

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