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

doi:10.1007/s00216-015-8610-9

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

Centro di Riferimento Oncologico

Research output: Contribution to journal › Article › peer-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 language	English
Pages (from-to)	3271-3275
Number of pages	5
Journal	Analytical and Bioanalytical Chemistry
Volume	407
Issue number	12
DOIs	https://doi.org/10.1007/s00216-015-8610-9
Publication status	Published - 2015

Keywords

Nanoparticles
Prostate cancer
Raman
SERS
Urin

ASJC Scopus subject areas

Analytical Chemistry
Biochemistry
Medicine(all)

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10.1007/s00216-015-8610-9

Cite this

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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.",

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AU - Mistro, Greta Del

AU - Cervo, Silvia

AU - Mansutti, Elena

AU - Spizzo, Riccardo

AU - Colombatti, Alfonso

AU - Belmonte, Pietro

AU - Zucconelli, Renzo

AU - Steffan, Agostino

AU - Sergo, Valter

AU - Bonifacio, Alois

PY - 2015

Y1 - 2015

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AB - 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.

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KW - Prostate cancer

KW - Raman

KW - SERS

KW - Urin

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

Abstract

Keywords

ASJC Scopus subject areas

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