Micro raman spectroscopic analysis on blood serum samples of ductal carcinoma patients

Abstract

Objective: Identification of biochemical changes in ductal cancer patient’s serum samples using micro Raman spectroscopy. Methods: Micro Raman spectroscopy was used for the identification of Raman shift bands. Data analysis was done using K-means clustering. Results: Micro Raman spectroscopic analysis of human breast cancer patient’s serum samples was done. Biochemicals present in the samples were identified from the peak evaluations. K-means clustering analysis was used to differentiate the biochemicals present in the samples. Conclusion: From the study, we conclude that Raman spectroscopy has the potential to differentiate the biochemical changes occurring in the human body, and the differentiation can be done using K-means clustering.