A tool designed for spectral analysis converts the difference in energy between incident and scattered light, measured in wavenumbers, into a standardized unit. This conversion facilitates the identification of materials by comparing the observed shifts to established reference values. For example, a specific material might exhibit a characteristic peak at 1300 cm, enabling its identification in a sample.
This conversion process is essential for interpreting Raman spectroscopy data. It allows researchers to identify substances, study molecular structures, and analyze chemical compositions across diverse fields like pharmaceuticals, materials science, and forensics. Developed alongside the technique of Raman spectroscopy itself, this computational tool has played a crucial role in advancing the analytical capabilities of the method.
