Abstract
In this paper, surface-enhanced Raman spectroscopy (SERS) was used to detect the changes in blood serum components that accompany rectal cancer. The differences in serum SERS data between rectal cancer patients and healthy controls were examined. Postoperative rectal cancer patients also participated in the comparison to monitor the effects of cancer treatments. The results show that there are significant variations at certain wavenumbers which indicates alteration of corresponding biological substances. Principal component analysis (PCA) and parameters of intensity ratios were used on the original SERS spectra for the extraction of featured variables. These featured variables then underwent linear discriminant analysis (LDA) and classification and regression tree (CART) for the discrimination analysis. Accuracies of 93.5 and 92.4 % were obtained for PCA–LDA and parameter-CART, respectively.
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Li, X., Yang, T., Li, S. et al. Discrimination of rectal cancer through human serum using surface-enhanced Raman spectroscopy. Appl. Phys. B 119, 393–398 (2015). https://doi.org/10.1007/s00340-015-6088-y
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DOI: https://doi.org/10.1007/s00340-015-6088-y