Surface-enhanced Raman spectroscopy of urine for prostate cancer detection: a preliminary study

Surface-enhanced Raman scattering (SERS) spectra were obtained from urine samples from subjects diagnosed with prostate cancer as well 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.



Titolo: Surface-enhanced Raman spectroscopy of urine for prostate cancer detection: a preliminary study
Autori: 
DEL MISTRO, GRETA
Colombatti, Alfonso
SERGO, VALTER
BONIFACIO, ALOIS
mostra contributor esterni 
Data di pubblicazione: 2015
Rivista: 
ANALYTICAL AND BIOANALYTICAL CHEMISTRY  
Abstract: Surface-enhanced Raman scattering (SERS) spectra were obtained from urine samples from subjects diagnosed with prostate cancer as well 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.
Handle: http://hdl.handle.net/11368/2838598
Digital Object Identifier (DOI): http://dx.doi.org/10.1007/s00216-015-8610-9
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