Detection of single amino acid mutation in human breast cancer by disordered plasmonic self-similar chain

Coluccio, Maria Laura, Gentile, Francesco, Das, Gobind, Nicastri, Annalisa, Perri, Angela Mena, Candeloro, Patrizio, Perozziello, Gerardo, Zaccaria, Remo Proietti, Totero Gongora, Juan Sebastian, Alrasheed, Salma, Fratalocchi, Andrea, Limongi, Tania, Cuda, Giovanni and Di Fabrizio, Enzo (2015) Detection of single amino acid mutation in human breast cancer by disordered plasmonic self-similar chain. Science Advances, 1 (8). e1500487. ISSN 2375-2548

[img] PDF - Published Version
Available under License Creative Commons Attribution-Non-Commercial.

Download (1MB)

Abstract

Control of the architecture and electromagnetic behavior of nanostructures offers the possibility of designing and fabricating sensors that, owing to their intrinsic behavior, provide solutions to new problems in various fields. We show detection of peptides in multicomponent mixtures derived from human samples for early diagnosis of breast cancer. The architecture of sensors is based on a matrix array where pixels constitute a plasmonic device showing a strong electric field enhancement localized in an area of a few square nanometers. The method allows detection of single point mutations in peptides composing the BRCA1 protein. The sensitivity demonstrated falls in the picomolar (10−12 M) range. The success of this approach is a result of accurate design and fabrication control. The residual roughness introduced by fabrication was taken into account in optical modeling and was a further contributing factor in plasmon localization, increasing the sensitivity and selectivity of the sensors. This methodology developed for breast cancer detection can be considered a general strategy that is applicable to various pathologies and other chemical analytical cases where complex mixtures have to be resolved in their constitutive components.

Item Type: Article
Keywords: plasmonics, self-similar chain device, nano lens, single molecule detection, single point mutation detection, BRCA1 protein
Schools and Departments: School of Mathematical and Physical Sciences > Physics and Astronomy
Subjects: Q Science > QC Physics > QC0350 Optics. Light
Q Science > QC Physics > QC0350 Optics. Light > QC0450 Spectroscopy
R Medicine > RC Internal medicine > RC0254 Neoplasms. Tumors. Oncology Including cancer and carcinogens
T Technology > TA Engineering (General). Civil engineering (General) > TA1501 Applied optics. Photonics
Depositing User: Juan Sebastian Totero Gongora
Date Deposited: 15 Nov 2017 09:18
Last Modified: 15 Nov 2017 09:18
URI: http://sro.sussex.ac.uk/id/eprint/69639

View download statistics for this item

📧 Request an update