EDX-FTIR Contaminant Finder/Material Inspector
Brochures and specifications | 2016 | ShimadzuInstrumentation
Combining energy dispersive X-ray fluorescence and Fourier transform infrared spectroscopy provides a comprehensive approach to identify inorganic and organic contaminants in quality control and forensic applications
The application note describes an integrated software solution for qualitative contaminant analysis using EDX and FTIR techniques. Goals include streamlining data acquisition, matching spectral and elemental library entries, and providing confirmation testing against standards.
Users import EDX profiles and FTIR spectra into the software and select integrated analysis mode. Materials are classified as inorganic, organic or mixtures, and priority weighting is applied for library matching. A similarity score quantifies the match between measured data and reference entries.
In the black rubber contaminant example, the software identified acrylonitrile-butadiene rubber containing calcium carbonate and zinc stearate. In a PVC sample comparison, a matching index of 0.8506 was obtained. Unexpected detection of lead and acrylic in the test object indicated material composition differences from the standard.
EDXIR-Analysis software delivers a robust platform for combined elemental and molecular contaminant identification. Its intuitive workflow, extensive reference library and data comparison tools support reliable quality assurance across diverse sectors.
No external references were provided in the source document.
FTIR Spectroscopy, X-ray
IndustriesMaterials Testing
ManufacturerShimadzu
Summary
Importance of Integrated EDX-FTIR Analysis
Combining energy dispersive X-ray fluorescence and Fourier transform infrared spectroscopy provides a comprehensive approach to identify inorganic and organic contaminants in quality control and forensic applications
- Enhanced confidence in material identification
- Supports food, water, industrial and environmental analysis
- Detects silent changes in supplier materials
Objectives and Study Overview
The application note describes an integrated software solution for qualitative contaminant analysis using EDX and FTIR techniques. Goals include streamlining data acquisition, matching spectral and elemental library entries, and providing confirmation testing against standards.
- Evaluate combined data analysis workflow
- Demonstrate contaminant identification in rubber and PVC samples
- Illustrate library management and report generation capabilities
Methodology
Users import EDX profiles and FTIR spectra into the software and select integrated analysis mode. Materials are classified as inorganic, organic or mixtures, and priority weighting is applied for library matching. A similarity score quantifies the match between measured data and reference entries.
Used Instrumentation
- Energy dispersive X-ray fluorescence spectrometers EDX-7000 and EDX-8000
- Fourier transform infrared spectrophotometers controlled via LabSolutions IR, IRsolution or AIMsolution
- Optional input of chromatograph or mass spectrometer data converted to PDF
Main Results and Discussion
In the black rubber contaminant example, the software identified acrylonitrile-butadiene rubber containing calcium carbonate and zinc stearate. In a PVC sample comparison, a matching index of 0.8506 was obtained. Unexpected detection of lead and acrylic in the test object indicated material composition differences from the standard.
Benefits and Practical Applications
- Rapid automated qualitative analysis
- Integrated library management for multiple data types
- Matching scores enable detection of material changes
- Linked storage of spectra, profiles, images and documents
Future Trends and Applications
- Expansion of reference libraries through industry collaboration
- Machine learning integration for improved matching
- Real-time monitoring and remote analysis capabilities
- Cloud based data exchange and storage
Conclusion
EDXIR-Analysis software delivers a robust platform for combined elemental and molecular contaminant identification. Its intuitive workflow, extensive reference library and data comparison tools support reliable quality assurance across diverse sectors.
Reference
No external references were provided in the source document.
Content was automatically generated from an orignal PDF document using AI and may contain inaccuracies.
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