Label Free Diagnosis for Colorectal Cancer through Coffee Ring Assisted Surface Enhanced Raman Spectroscopy on Blood Serum

Label Free Diagnosis for Colorectal Cancer through Coffee Ring Assisted Surface Enhanced Raman Spectroscopy on Blood Serum:

Abstract

Surface enhanced Raman spectroscopy (SERS) is garnering considerable attentions for the swift diagnosis of pathogens and abnormal biological status, i.e. cancers. In this work, a simple, fast and inexpensive optical sensing platform is developed by the design of SERS sampling and data analysis. The pre‐treatment of spectral measurement employed gold nanoparticle colloid mixing with the serum from patients with colorectal cancer (CRC). The droplet of particle‐serum mixture formed coffee‐ring‐like region at the rim, providing strong and stable SERS profiles. The obtained spectra from cancer patients and healthy volunteers were analyzed by unsupervised principle component analysis (PCA) and supervised machine learning model, support‐vector machine (SVM) respectively. The results demonstrate that the SVM model provides the superior performance in the classification of CRC diagnosis compared with PCA. In addition, the values of carcinoembryonic antigen from the blood samples were compiled with the corresponding SERS spectra for SVM calculation, yielding improved prediction results.

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