Surface–enhanced raman spectroscopy of urine for prostate cancer detection: A preliminary study

Greta Del Mistro, Silvia Cervo, Elena Mansutti, Riccardo Spizzo, Alfonso Colombatti, Pietro Belmonte, Renzo Zucconelli, Agostino Steffan, Valter Sergo, Alois Bonifacio

Research output: Contribution to journalArticlepeer-review

Abstract

Surface-enhanced Raman scattering (SERS) spectra were obtained from urine samples from subjects diagnosed with prostate cancer aswell as from healthy controls, using Au nanoparticles as substrates. Principal component analysis (PCA) of the spectral data, followed by linear discriminant analysis (LDA), leads to a classification model with a sensitivity of 100%, a specificity of 89%, and an overall diagnostic accuracy of 95 %. Even considering the very limited number of samples involved in this report, preliminary results from this approach are extremely promising, encouraging further investigation.

Original languageEnglish
Pages (from-to)3271-3275
Number of pages5
JournalAnalytical and Bioanalytical Chemistry
Volume407
Issue number12
DOIs
Publication statusPublished - 2015

Keywords

  • Nanoparticles
  • Prostate cancer
  • Raman
  • SERS
  • Urin

ASJC Scopus subject areas

  • Analytical Chemistry
  • Biochemistry
  • Medicine(all)

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