| Raman spectrum is a non-elastic scattering spectrum generated by between photon and molecule. Raman spectroscopy is nondestructive so that it is useful for researching the molecule structure. With the development of Raman technology, Raman spectroscopy has been applied in so many fields, such as chemistry, material science, environment, archaeology, biomedicine, and so on. It is developed fast in these fields and contributes to the improvement of society.This thesis begins with the basic theory, the developing processes and the application of Raman spectroscopy. Many techniques of Raman spectroscopy are introduced. Application of Raman spectroscopy in the biology and cancer is researched in detail in this article.Firstly, the basic theory of Raman spectroscopy, Raman technologies, Raman spectrographs and the application are introduced. The current status of cancer and the diagnostic method are introduced. The feasibility of Raman spectroscopy used to diagnose cancer is analyzed.Secondly, Raman spectrums of rat and bovine serum are researched. The surface-enhanced Raman spectrum of rat serum displays that most of the weak frequencies are signed. It's important for analysis of the structure of the rat serum. The most appropriate concentration of the bovine serum is fold. This concentration is useful for measurement better Raman spectrum and analysis the conformation of bovine serum.Finally, surface-enhanced Raman spectrums of serum from normal persons and cancer patients are researched. The contrast of their Raman spectrums is analyzed. The analysis results show the characteristic peak and the characteristic material of different types of cancer. Raman spectrum can be used to diagnose malignant cancer in prophase. It could be a new method for the clinical diagnosis and cure. The analysis results of normal persons' serum show that each of them is different. The differences are from the differences of individual physiological conditions and the construction of diet. The experiments proof the Raman spectroscopy could be used to clinically diagnose cancers. |