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Journal of Sensors
Volume 2017 (2017), Article ID 6792396, 9 pages
https://doi.org/10.1155/2017/6792396
Research Article

Peptide Functionalization of Silicon for Detection and Classification of Prostatic Cells

1Institute for Microelectronics and Microsystems, Unit of Naples, National Research Council, Naples, Italy
2Department of Biochemistry, Biophysics and General Pathology, University of Campania “L. Vanvitelli”, Naples, Italy
3Department of Pharmacy, University of Naples “Federico II”, Naples, Italy

Correspondence should be addressed to Luca De Stefano

Received 9 February 2017; Accepted 24 July 2017; Published 30 August 2017

Academic Editor: Mike McShane

Copyright © 2017 Jane Politi et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

The development of simple, rapid, and low cost methods for early detection, identification, and measurement of multiple biomarkers remains a challenge to improve diagnosis, treatment monitoring, and prognosis of cancer. Biosensing technology, combining the properties of biological systems with functional advanced materials, guarantees rapid, reproducible, and highly sensitive cell detection. In this study, we developed silicon-based biochips for prostate cancer PC3 cells detection by using cytokeratin 8/18 and Urotensin Receptor (UTR) as markers in order to obtain a biochip-based diagnostic system. Spectroscopic ellipsometry and fluorescence microscopy were used to characterize surface homogeneity and chemical properties. Cell detection was investigated by optical microscopy. Moreover, synthetic fluorescently labeled peptides were prepared and used for developing faster and lower-cost identification assay compared with classic ELISA immunoassay. Results showed an effective immobilization of PC3 cells on silicon surface and the specific recognition of these cells by fluorescent Urotensin II (4–11). In conclusion, this strategy could be really useful as diagnostic system for prostate cancer.