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Contaminant

Infrared Raman
 

This is an example of analyzing a contaminant (simulated sample) attached to the surface of a pharmaceutical tablet. Obtaining both infrared and Raman measurements from the same spot increases the accuracy of qualitative analysis to help identify the cause of contaminants.

Pigment

Infrared Raman
 

This is an example of analyzing pigment applied to wood.
Because AIRsight microscopes can measure trace quantities, they are especially useful for measuring precious samples with historical value.

 

Microplastic

Infrared Raman
 

This is an example of analyzing a microplastic particle. The ability to measure infrared and Raman spectra from a wide range of microplastic particle sizes, from a few micrometers to several tens of micrometers in diameter, makes the system ideal for monitoring survey and research applications.

Image of Contaminant Microscope Image of Microplastic

Image of Contaminant Microscope Image of Microplastic

Infrared Spectrum of 115 μm Long (Major Axis) and 53 μm Wide (Minor Axis) Microplastic Identified as Polystyrene

Infrared Spectrum of 115 μm Long (Major Axis) and 53 μm Wide (Minor Axis) Microplastic Identified as Polystyrene

Microscope Image of Microbead

Microscope Image of Microbead

Raman Spectrum of 1 μm Diameter Microbead Identified as Polystyrene

Raman Spectrum of 1 μm Diameter
Microbead Identified as Polystyrene

 

Carbon Material

Raman
 

This is an example of analyzing a diamond-like carbon (DLC) film.
Raman measurements can determine bonds and structures in carbon materials with high sensitivity for use in the quality control of DLC films.

Diagram of Evaluation Parameters for Raman Spectrum of a DLC Film

 

Diagram of Evaluation Parameters for Raman Spectrum of a DLC Film

  I(D)/I(G)
Disturbances in
Crystal Structure
FWHM(G)
Crystallinity, Young’s
Modulus, and Density
log(N(G)/I(G))
Hydrogen
Concentration
CH4_center 0.32 182.17 -0.29
CH4_periphery 0.32 181.40 -0.28
C2H2_center 0.34 190.85 -0.44
C2H2_periphery 0.34 190.25 -0.44
 

Results from Evaluating DLC Film (Formed with Either CH4 or C2H2 Gas) on Two Types of Silicon
Wafers (Measured in Two Locations—Near the Sample Center and Periphery)

 

Li-Ion Battery

Raman
 

This is an example of analyzing the negative electrode material from a lithium-ion battery.
Raman area mapping can be used to visualize the detailed distribution of components and structural characteristics in substances (crystallinity, defects, etc.). Therefore, it is useful for evaluating products and materials in R&D applications.
Note: In the chemical image shown, the red areas indicate high concentrations of the component and the blue areas indicate low concentrations.

 

Polymorphic Crystal

Raman
 

This is an example of analyzing monohydrate and anhydrous forms of caffeine.
Raman spectra can differentiate between compounds that have identical chemical structures but with different crystal polymorphisms. Evaluating the crystal form of substances with different solubility or efficacy characteristics is useful for controlling crystal formation during pharmaceutical manufacturing processes.

Polymorphic Crystal

 

Multilayer Film

Infrared Raman
 
Surface layer

This is an example of analyzing a multilayer film.
The distribution of each component can be visualized by using infrared and Raman area mapping to analyze a cut cross-section from the film.

Infrared Area Mapping Results Chemical Image of Phthalate Esters

Infrared Area Mapping Results Chemical Image of Phthalate Esters

Chemical Image Created from Peak Areas between 1551 and 1624 cm-1

Chemical Image Created from Peak Areas between 1551 and 1624 cm-1

Raman Area Mapping Results Chemical Image of Titanium Oxide (Rutile)

Raman Area Mapping Results Chemical Image of Titanium Oxide (Rutile)

Chemical Image Created from Peak Area Values between 345 and 508 cm-1

Chemical Image Created from Peak Area Values between 345 and 508 cm-1

 

Automotive Paint Coating

Raman
 

This is an example of analyzing an automotive paint coating. Samples with characteristics that make it difficult to cut a cross-section can be evaluated by analyzing the component distribution in the depth direction by Raman spectroscopy and evaluating the degradation status or other criteria from the surface.
A separate mapping program (P/N 206-35093-41) is required.

Automotive Paint Coating
Raman Depth (Line) Mapping Results Chemical Image of Acrylic Resin

Raman Depth (Line) Mapping Results Chemical Image of Acrylic Resin

Chemical Image Created from Peak Area Values between 1383 and 1510 cm-1

Chemical Image Created from Peak Area Values between 1383 and 1510 cm-1