Blue Shift Of Serum Fluorescence Spectra In Mice With Hepatoma And The Effect Of Molecular Vibration Energy Level

The application of fluorescence spectroscopy in the tumors has attracted much attention.The fluorescence spectra of biological tissues are abnormal during the growth of tumors.The serum fluorescence spectra of hepatoma mice in 15 days of growth were studied.The reasons for the structural changes of fluorescence spectra were analyzed from the aspects of molecular vibration and energy level transition by using the Gauss decomposition method.Under excitation light of 405 nm and 260 nm,detect the serum fluorescence spectra in 15 days of growth of hepatoma mice.Analyze the structural characteristics of fluorescence spectra and Gauss curves with the growth of tumors.The results show that serum fluorescence spectra in mice with a widening single peak structure.The peak positions of the fluorescence lines and Gauss curves under two different excitation wavelengths tend to move towards the short wave direction,the peak strength tends to increase.According to the analysis of molecular vibration theory,the peak position of the fluorescence spectrum tends to shift blue,because of the energy difference between the lowest vibrational level of the first excited state and each vibrational level of the ground state increases.The growth of malignant tumors can lead to metabolic disorders in organisms,the concentration of some fluorescent substances in serum increased,the interaction between luminescent molecules is enhanced,interatomic chemical bonds in molecules tend to elongate,the vibration frequency of chemical bonds decreases,the vibration level of the ground state tends to decrease,The peak intensity of fluorescence spectra and Gaussian curves increases,because of the concentration of luminescent substances increased,the overlap of nuclear vibration wave functions between two levels tends to increase.Analyze the dispersion degree of peak position and peak strength data by calculating the variance and deviation of peak position and peak strength data of fluorescence spectral and Gaussian curve.The results show that the discrete degree of the peak position value of the fluorescence spectrum of 260 nm light excitation is minimal and the time zoning accuracy is the highest.The results of this study show that through the analysis of Gauss multimodal fitting method and molecular vibration theory is helpful to explain the change of serum fluorescence spectral structure caused by tumor growth at the molecular level.