Spectral analysis technology is an analysis method based on the principle of the interaction between substance and electromagnetic wave (light). By measuring the reflection, transmission, absorption, scattering, emission and other characteristics of substance under different wavelengths of light, its composition, structure, property or state can be determined, and then combined with the analysis algorithm, the qualitative or quantitative analysis of substance can be realized. It mainly includes emission spectrum (fluorescence, SHG, lasing, amplified spontaneous emission), absorption spectrum (ultraviolet, visible, infrared absorption spectrum), scattering spectrum (dark field Rayleigh scattering, Raman scattering), reflection and transmission spectrum, etc.

Spectral analysis technology is widely used in many fields. In the field of physics, it is used to reveal the energy level structure, energy level lifetime, electronic configuration and molecular geometry of atoms and molecules, as well as the performance indicators of light-emitting devices, such as light-emitting wavelength, efficiency, spectral purity, and the chemical composition of celestial bodies; In the field of chemistry, it is applied to material composition analysis, reaction kinetics research, and structural characterization (such as infrared spectroscopy, ultraviolet visible spectroscopy); In the biological field, it is applied to the structural analysis of biological macromolecules, drug research and development, and disease diagnosis (such as nuclear magnetic resonance spectroscopy and fluorescence spectroscopy); In the field of environment, it is applied to the monitoring of air, water and soil pollutants (such as detecting heavy metals and organics); In the field of materials, it is applied to material characterization, quality control and process optimization (such as X-ray diffraction and electron spectroscopy);