Detection of single amino acid mutation in human breast cancer by disordered plasmonic self-similar chain
AuthorsColuccio, M. L.
Perri, A. M.
Proietti Zaccaria, R.
Gongora, J. S. Totero
Di Fabrizio, Enzo M.
KAUST DepartmentBiological and Environmental Sciences and Engineering (BESE) Division
Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
Electrical Engineering Program
Material Science and Engineering Program
PRIMALIGHT Research Group
Physical Science and Engineering (PSE) Division
Online Publication Date2015-09-04
Print Publication Date2015-09-04
Permanent link to this recordhttp://hdl.handle.net/10754/576982
MetadataShow full item record
AbstractControl 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.
CitationDetection of single amino acid mutation in human breast cancer by disordered plasmonic self-similar chain 2015, 1 (8):e1500487 Science Advances
CollectionsArticles; Biological and Environmental Sciences and Engineering (BESE) Division; Physical Science and Engineering (PSE) Division; PRIMALIGHT Research Group; Electrical Engineering Program; Material Science and Engineering Program; Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
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