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.

   

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.
通过粒度、形貌分析以及拉曼光谱技术表征电池材料
通过粒度、形貌分析以及拉曼光谱技术表征电池材料
随着电动汽车及其他便携式设备对性能的要求日益严苛,对高性能电池的需求,以及对电池材料物理化学特性进行监测的能力需求将持续攀升。在可充电锂离子电池中,正越来越多地采用新型电池材料,其中,磷酸铁锂(LFPs)用于构成正极,碳包覆硅(Si@C)则用于制造负极。

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