Label-Free Surface Enhanced Raman Spectroscopy for Cancer Detection

Ertug Avci, Hulya Yilmaz, Nurettin Sahiner, Bilge Guvenc Tuna, Munevver Burcu Cicekdal, Mehmet Eser, Kayhan Basak, Fatih Altıntoprak, Ismail Zengin, Soner Dogan, Mustafa Çulha

Research output: Contribution to journalArticlepeer-review

4 Scopus citations


Blood is a vital reservoir housing numerous disease-related metabolites and cellular components. Thus, it is also of interest for cancer diagnosis. Surface-enhanced Raman spectroscopy (SERS) is widely used for molecular detection due to its very high sensitivity and multiplexing properties. Its real potential for cancer diagnosis is not yet clear. In this study, using silver nanoparticles (AgNPs) as substrates, a number of experimental parameters and scenarios were tested to disclose the potential for this technique for cancer diagnosis. The discrimination of serum samples from cancer patients, healthy individuals and patients with chronic diseases was successfully demonstrated with over 90% diagnostic accuracies. Moreover, the SERS spectra of the blood serum samples obtained from cancer patients before and after tumor removal were compared. It was found that the spectral pattern for serum from cancer patients evolved into the spectral pattern observed with serum from healthy individuals after the removal of tumors. The data strongly suggests that the technique has a tremendous potential for cancer detection and screening bringing the possibility of early detection onto the table.

Original languageEnglish (US)
Article number5021
Issue number20
StatePublished - Oct 2022


  • SERS
  • blood
  • cancer detection
  • human serum
  • plasma
  • silver nanoparticles

ASJC Scopus subject areas

  • Oncology
  • Cancer Research


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