A method, device and medium for metabolic flux analysis based on mass spectrometry imaging
By generating tracer sampling control records and metabolic flux analysis constraint records, limiting the sampling time sequence and tissue state, and generating spatially faithful tissue slice groups, mass spectrometry imaging acquisition and compensation scanning are performed. This solves the problem of difficulty in tracing peak group quality in metabolic flux analysis in existing technologies, realizes accurate positioning of metabolic flux partitions and traceability of abnormal sources, and improves the accuracy and reliability of analysis.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- SHANGHAI BIOTREE
- Filing Date
- 2026-06-17
- Publication Date
- 2026-07-17
AI Technical Summary
Existing mass spectrometry imaging techniques struggle to unify and solidify the detection objective, tracer sampling conditions, tissue preservation status, slice layer relationships, and isotope peak range in metabolic flux analysis. This makes it difficult to establish a traceable relationship between the determination of metabolic flux direction and relative metabolic flux support strength and the original peak mass quality status. Furthermore, these results are susceptible to peak mass loss, quality deviation, and discontinuous peak mass response.
By generating tracer sampling control records and metabolic flow analysis constraint records, the sampling time sequence and tissue state are defined, spatially faithful tissue slice groups are generated, and isotope peak group signals are acquired through mass spectrometry imaging. Compensation scanning and correction are performed to generate a spatial isotope labeling matrix, and finally a metabolic flow tracing map is generated, realizing accurate localization of metabolic flow partitions and tracing of abnormal sources.
It improves the spatial partitioning accuracy of metabolic flux analysis and the reliability of metabolic flux direction determination, ensuring the accuracy of relative metabolic flux support strength calculation and the traceability of anomaly sources.
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