Analyze Bruker maXis II Ultra-high Resolution LC-QTOF MS data with AI

Ultra-high resolution LC-QTOF for accurate mass analysis of small molecules

Resolution: Mass resolution > 80,000

Mass Spectrometry: Mass accuracy ~1-2 ppm

Specification: Fast 50 Hz spectral acquisition

Source Configuration: ESI source with broad mass range

Specification: Advanced formula determination

Get Started For Free Fully compatible with Sourcetable

Quick Start Integration

Get your maXis II data into Sourcetable in 3 simple steps

Export Data

Export accurate mass data from your maXis II via DataAnalysis to CSV format for formula determination
Upload to Sourcetable

Import your high-resolution mass spectra and compound identification results into Sourcetable
Start Analysis

Perform automated exact mass determination and generate comprehensive metabolomics analysis reports

File Format Compatibility

Complete support for maXis II high-resolution mass spectrometry data including exact mass determination and metabolite profiling.

.csv

Raw Data

Full Support Export peak lists and quantification results Exact masses, formula assignments, isotope patterns, metabolite identifications

Pre-built Analysis Workflows

High-resolution mass spectrometry workflows for metabolomics and small molecule analysis with accurate formula determination.

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Exact Mass Analysis

Accurate molecular formula determination with high mass accuracy

Exact Formula Accurate

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Metabolite Profiling

Comprehensive metabolomics analysis and compound identification

Metabolomics Profiling Identification

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Unknown Identification

Identification of unknown compounds via database searching

Unknown Database Search

Technical Requirements

Software Dependencies

maXis II LC-QTOF Ultra-high resolution LC-QTOF MS with ESI source
Control Software Bruker DataAnalysis, MetaboScape
File Export Format Bruker .d, mzXML/mzML, CSV
Applications Metabolomics research, pharmaceutical analysis, small molecule identification

Sourcetable Libraries

Data Processing pandas, numpy
Statistical Analysis scipy, statsmodels
Visualization matplotlib, plotly
Specialized Analysis PyMS, seaborn

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