Analyze Bruker impact II High-Resolution LC-QTOF MS data with AI

High-resolution LC-QTOF for pharmaceutical and environmental analysis

Operating Range: High dynamic range QTOF

Resolution: ~40k resolving power

Performance: Fast scanning capability

Optical System: Robust ion optics for quantitative consistency

Specification: Simultaneous MS/MS screening

Get Started For Free Fully compatible with Sourcetable

Quick Start Integration

Get your impact II data into Sourcetable in 3 simple steps

Export Data

Export quantification data from your impact II via QuantAnalysis to CSV format for targeted screening
Upload to Sourcetable

Import your LC-QTOF quantitative results and screening data into Sourcetable for analysis
Start Analysis

Perform automated targeted quantitation and generate comprehensive screening analysis reports

File Format Compatibility

Complete support for impact II LC-QTOF data including targeted quantitation and multi-residue screening for pharmaceutical applications.

.csv

Raw Data

Full Support Export quantification results and compound screening data Compound concentrations, extracted ion chromatograms, multi-residue screening, impurity analysis

Pre-built Analysis Workflows

High-resolution LC-QTOF workflows for targeted quantitation and screening with automated calibration and batch processing.

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Targeted Quantitation

MRM-like quantitative analysis with TOF detection accuracy

Quantitation Targeted TOF

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Multi-residue Screening

Simultaneous screening of multiple analytes in complex samples

Screening Multi-residue Simultaneous

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Impurity Analysis

Detection and identification of pharmaceutical impurities

Impurities Pharmaceutical Detection

Technical Requirements

Software Dependencies

impact II LC-QTOF High-resolution LC-QTOF MS with robust ion optics
Control Software Bruker QuantAnalysis software
File Export Format Bruker .d, CSV, PDF
Applications Pharmaceutical QC, environmental analysis, food safety

Sourcetable Libraries

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

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