Sers Signal Of Serum Proteins Purified With Cellulose Acetate Membrane

Serum proteins contain many biomarkers of diseases, such as cancer. It would be important to purify the serum proteins for disease diagnosis. In this paper, cellulose acetate (CA) membrane was employed to purify serum proteins from human serum while removing other serum constituents and exogenous substances. The purified serum proteins were mixed with silver nanoparticles for SERS measurement. A total of 42 SERS spectra were recorded from purified serum proteins obtained from 20 liver cancer patients and 22 healthy volunteers. Subtle but discernible spectral changes of the two groups could be observed in the SERS spectra. Principal components analysis (PCA) and linear discriminate analysis (LDA) algorithm were introduced to analyze the difference between the two groups. Additionally, this method is nondestructive, fast and easy to operate, which is greatly important for clinical serum sample detection. These results indicated that SERS signal of serum proteins purified with CA membrane has a good prospect in liver cancer screening.