QCarbon

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Automated Raman D-to-G peak intensity ratio analysis for carbon materials

Raman spectroscopy is a powerful tool for characterizing carbon materials. It helps in analyzing the structural properties and composition of various carbon forms. The D and G peaks are significant in Raman spectroscopy for carbon materials. The D peak signifies structural defects, while the G peak corresponds to the graphitic structure. The ID/IG ratio often indicates the degree of disorder or defects in the carbon structure.

For research and quality control testing, your Raman spectral data are analyzed in one click using D and G peak intensity ratio. Statistics are displayed in your QCarbon dashboard for an overview at a glance in LabSpec 6 and a customized report is automatically generated for easy interpretation and sharing of the obtained data.

This application software associated with HORIBA Raman microscopes can be valuable in scientific research and industrial applications. Analyzing the structure, graphitization, impurity defects, coating uniformity, and other indicators through Raman spectroscopy can provide crucial insights into the quality and characteristics of different carbon materials.

Request today for a demo and/or trial version to discover the power of QCarbon and automatize the quality and characteristic analysis of your different carbon materials.

   

事业部: 科学仪器
产品分类: 拉曼光谱仪
制造商: HORIBA France SAS
  • One-click data processing, no more complicated operations
  • At-a-glance analysis and statistics, panoramic data display
  • Customized report export, suitable for quality control process

 

Figure 1: QCarbon facilitates Raman analysis for carbon materials, especially with its ability to automatically process Raman spectral data and giving the ID/IG ratio.


Figure 2: QCarbon exports statistics and fitting results in a customized report.

Optimizing Carbon Material Analysis with Raman Spectroscopy
Optimizing Carbon Material Analysis with Raman Spectroscopy
Carbon materials are crucial due to their widespread application in industries like energy storage. Analyzing carbon helps ensure material quality and performance. However, its structural complexity and variability, such as the presence of defects and morphological disparities, pose challenges, making precise analysis difficult.

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