Discrimination Of Pancreatic β Insulinoma-cell And Normal Pancreatic β -cell Based On Raman Spectrums

OBJECTIVE Detection of neoplastic changes using Raman spectroscopy has been an active area of research in recent times. Raman spectroscopy is a vibrational spectroscopic technique that can be used to diagnose various tumors with high sensitivity and specificity. To explore Raman spectroscopy system can be applied to differentiate pancreatic β Insulinoma cell and normal pancreatic βcell。METHODS SD rat as the animal model, extract the original SD rat islet β cells for the study of comparison, homologous INS-1 cell as the research object, to extract the Raman spectra, Linear discriminant analysis (LDA) and Principal component analysis (PCA) were used for classification of normal and tumor samples.RESULT The multivariate analysis of variance indicates an overall significant difference between the two cell types. The peaks at 562,640,725, 785,852,893,937,1003,1053,1175,1320,1337,1605,1615 and 1660 cm-1 (Ownership in the protein,and nucleic acid) have significantly different mean intensities(p<0.05), PCA-LDA analysis showed that Raman spectroscopy system can good distinguish between pancreatic β Insulinoma cell and normal pancreatic islet βcell, the sensitivity was 100%, The specificity was 96.7%。CONCLUSION ① islet beta cell tumor cells and normal differences between islet beta cells Raman spectra, There is difference between pancreatic β Insulinoma cell and normal pancreatic islet Pcell’s Raman spectral.② Raman spectroscopy system can distinguish between pancreatic β Insulinoma cell and normal pancreatic islet βcell.③Raman spectroscopy combined with PCA-LDA analysis is expected to become the new direction of identifying tumor cells and normal cells.