چكيده به لاتين
Optical characterization and imaging techniques, provide important information about the chemical and structural changes in the disordered media, that an example of its direct applications is the diagnosis and treatment of biological tissue diseases, especially the different types of cancer. one of these optical methods is laser-induction fluorescence spectroscopy (LIF), which applying its various techniques to heterogeneous media doesn’t provide credible information. In recent years, studies have been led to achieving a novel spectroscopy method, which is based on LIF and based on measurements of the spectral shift. these studies included experimental and theoretical analysis of them. but so far, there hasn't been a model for predicting and verifying the results and completing spectral shift spectroscopy.
Therefore, in this study, we have tried to develop a mathematical model for characterization technique, by studying the diffusion of light in a heterogeneous media and the effect of this propagation of light on the fluorescence emission spectra. this research is also accompanied by experimental research related to this subject, and modeling is developed according to experimental results. In this study, the red/blue spectral shift of the fluorophore molecules with a small Stokes shift and significant overlap of absorption and emission spectra have been investigated.
The result of this research is a software package developed using coding in the MATLAB. the generated program receives the initial information of the absorption and emission spectra of different fluorophores in the unit concentration as inputs and simulates the fluorescence emission spectrums for different fluorescence concentrations and various factors of scattering. finally, the validity of the results was verified by the results of previous experimental experiments, that generally, the findings agreed with a good approximation.
Keywords: laser-induced fluorescence spectroscopy; Turbid media; Spectral shift; Stokes shift; spectral shift modeling
