A novel blood plasma analysis technique combining membrane electrophoresis with silver nanoparticle-based SERS spectroscopy for potential applications in noninvasive cancer detection

Combining membrane electrophoresis with silver nanoparticle-based surface-enhanced Raman spectroscopy (SERS), we have developed a novel method for blood plasma analysis for cancer detection applications. In this method, total serum proteins are isolated from blood plasma by membrane electrophoresis and mixed with silver nanoparticles to perform SERS spectral analysis. The obtained SERS spectra present information-rich, fingerprint-type signatures of the biochemical constituents of whole proteins. We evaluated the utility of this method by analyzing blood plasma samples from patients with gastric cancer (n = 31) and healthy volunteers (n = 33). Principal components analysis of the spectra revealed that the data points for the two groups form distinct, completely separated clusters with no overlap. The gastric cancer group can be unambiguously distinguished from the normal group in this initial test—that is, with both diagnostic sensitivity and specificity of 100%. These results are very promising for developing a label-free, noninvasive clinical tool for cancer detection and screening.From the Clinical EditorIn this paper by Lin et al, a novel nanotechnology-based blood plasma test is presented for sensitive detection of malignant cells. The method utilizes membrane electrophoresis followed by silver-nanoparticle based surface-enhanced Raman spectroscopy to analyze the purified proteins for spectral changes to determine if cancer is present.

Graphical AbstractA novel method for blood plasma analysis was developed for potential cancer detection applications. The method employs membrane electrophoresis to separate whole proteins from other impurities in blood plasma, then silver-nanoparticle based surface-enhanced Raman spectroscopy (SERS) is performed to analyze the purified proteins for spectral changes to determine if cancer is present.Figure optionsDownload high-quality image (248 K)Download as PowerPoint slide