X射线光电子能谱(XPS光谱)
WE KNOW HOW™
X-ray Photoelectron Spectroscopy (XPS) / Electron Spectroscopy for Chemical Analysis (ESCA)
Technical Definition:
XPS is a surface-sensitive analytical technique (sampling depth: 50-100 Å) that determines:
• Quantitative atomic composition (detection limit: 0.1-1 at%)
• Chemical state information (e.g., sulfate vs. sulfide)
• Depth profiles via Ar⁺ sputtering
Working Principle:
• Monochromatic X-rays (typically Al Kα at 1486.6 eV) eject photoelectrons
• Kinetic energy analysis identifies elements (Li-U) and bonding states
• Escape depth limitation: Only electrons from top 100 Å reach detector
EAG Laboratory Capabilities:
✓ Full-spectrum survey scans (element identification)
✓ High-resolution narrow scans (chemical bonding analysis)
✓ Depth profiling for thin-film characterization
✓ Oxide thickness measurements (SiO₂, Al₂O₃)
Typical Applications:
• Stain/discoloration analysis
• Cleaning process validation
• Powder/particulate composition
• Contamination source identification
• Polymer surface modification studies
• Hard disk lubricant thickness measurement
Technical Specifications
Parameter | Performance |
---|---|
Detected Signal | Photoelectrons |
Elemental Range | Li-U (with chemical bonding info) |
Detection Limit | 0.1-1 at% (sub-monolayer) |
Depth Resolution | 20-200 Å (sputtering); 10-100 Å (surface) |
Imaging | Available |
Lateral Resolution | 10 µm – 2 mm |
Strengths
✔ Chemical state differentiation (e.g., oxidation states)
✔ Universal detection (all elements except H/He)
✔ Quantitative comparison of chemical states
✔ Insulator-compatible (polymers, glasses)
✔ Depth-resolved composition analysis
Limitations
▲ ~0.1 at% detection limit
▲ Minimum analysis area: ~10 µm
▲ Limited organic specificity
▲ Requires UHV compatibility
Value Proposition:
XPS provides critical chemical insights accelerating product/process improvements, while EAG's expertise ensures:
• Industry-leading instrumentation (including small-spot XPS)
• Cross-material experience (semiconductors to biomaterials)
• Scientist-to-client data interpretation