Electrochemically deposited silver detection substrate for surface-enhanced Raman spectroscopy cancer diagnostics

J Biomed Opt. 2018 Jul;23(7):1-11. doi: 10.1117/1.JBO.23.7.075002.

Abstract

Surface-enhanced Raman spectroscopy (SERS) of blood plasma on an electrochemically prepared silver surface has been studied as a label-free, noninvasive diagnostic test for colorectal cancer. Indium tin oxide glass substrates were modified with 0.01 mol dm - 3 silver nitrate using the pulsed double-potentiostatic method. The prepared silver substrates were tested with Rhodamine 6G as a model analyte and the surface with the highest signal enhancement was selected. This silver dendritic surface was used as a diagnostic substrate for SERS measurements of human blood plasma. A group of oncological patients with declared colorectal carcinoma (n = 15) and the control group of healthy volunteers (n = 15) were compared. The biomolecular changes in chemical composition in the cancer samples were detected by statistical processing of the resulting SERS spectra. About 94% specificity and 100% sensitivity were achieved for the analysis by the ratio of the SERS peak intensity at 725 cm - 1 for adenine to the peak intensity at 638 cm - 1 for tyrosine and 100% specificity and sensitivity by using principal component analysis. This method of SERS diagnostics of colorectal cancer, which does not require the nanoparticle preparation, mixing, and incubation of plasma with a colloidal solution as in conventional tests, is a rapid, inexpensive method, which could be introduced as a primary diagnostic test.

Keywords: diagnostics; electrodeposition; plasma; substrates; surface-enhanced Raman spectroscopy.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Biomarkers, Tumor / blood
  • Colorectal Neoplasms / blood
  • Colorectal Neoplasms / diagnosis*
  • Electrochemical Techniques
  • Humans
  • Metal Nanoparticles / chemistry*
  • Principal Component Analysis
  • Sensitivity and Specificity
  • Signal Processing, Computer-Assisted
  • Silver / chemistry*
  • Spectrum Analysis, Raman / methods*

Substances

  • Biomarkers, Tumor
  • Silver