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

Handle URI:
http://hdl.handle.net/10754/576982
Title:
Detection of single amino acid mutation in human breast cancer by disordered plasmonic self-similar chain
Authors:
Coluccio, M. L.; Gentile, F.; Das, Gobind ( 0000-0003-0942-681X ) ; Nicastri, A.; Perri, A. M.; Candeloro, P.; Perozziello, G.; Proietti Zaccaria, R.; Gongora, J. S. Totero ( 0000-0003-2300-4218 ) ; Alrasheed, Salma; Fratalocchi, Andrea ( 0000-0001-6769-4439 ) ; Limongi, Tania; Cuda, G.; Di Fabrizio, Enzo M. ( 0000-0001-5886-4678 )
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.
KAUST Department:
Physical Sciences and Engineering (PSE) Division; Biological and Environmental Sciences and Engineering (BESE) Division; PRIMALIGHT Research Group; Electrical Engineering Program
Citation:
Detection of single amino acid mutation in human breast cancer by disordered plasmonic self-similar chain 2015, 1 (8):e1500487 Science Advances
Publisher:
American Association for the Advancement of Science (AAAS)
Journal:
Science Advances
Issue Date:
4-Sep-2015
DOI:
10.1126/sciadv.1500487
Type:
Article
ISSN:
2375-2548
Additional Links:
http://advances.sciencemag.org/cgi/doi/10.1126/sciadv.1500487
Appears in Collections:
Articles; Physical Sciences and Engineering (PSE) Division; PRIMALIGHT Research Group; Electrical Engineering Program; Biological and Environmental Sciences and Engineering (BESE) Division

Full metadata record

DC FieldValue Language
dc.contributor.authorColuccio, M. L.en
dc.contributor.authorGentile, F.en
dc.contributor.authorDas, Gobinden
dc.contributor.authorNicastri, A.en
dc.contributor.authorPerri, A. M.en
dc.contributor.authorCandeloro, P.en
dc.contributor.authorPerozziello, G.en
dc.contributor.authorProietti Zaccaria, R.en
dc.contributor.authorGongora, J. S. Toteroen
dc.contributor.authorAlrasheed, Salmaen
dc.contributor.authorFratalocchi, Andreaen
dc.contributor.authorLimongi, Taniaen
dc.contributor.authorCuda, G.en
dc.contributor.authorDi Fabrizio, Enzo M.en
dc.date.accessioned2015-09-09T06:03:21Zen
dc.date.available2015-09-09T06:03:21Zen
dc.date.issued2015-09-04en
dc.identifier.citationDetection of single amino acid mutation in human breast cancer by disordered plasmonic self-similar chain 2015, 1 (8):e1500487 Science Advancesen
dc.identifier.issn2375-2548en
dc.identifier.doi10.1126/sciadv.1500487en
dc.identifier.urihttp://hdl.handle.net/10754/576982en
dc.description.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.en
dc.language.isoenen
dc.publisherAmerican Association for the Advancement of Science (AAAS)en
dc.relation.urlhttp://advances.sciencemag.org/cgi/doi/10.1126/sciadv.1500487en
dc.rightsThis is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial license, which permits use, distribution, and reproduction in any medium, so long as the resultant use is not for commercial advantage and provided the original work is properly cited. http://creativecommons.org/licenses/by-nc/4.0/en
dc.subjectplasmonicsen
dc.subjectself-similar chain deviceen
dc.subjectnano lensen
dc.subjectsingle molecule detectionen
dc.subjectsingle point mutation detectionen
dc.subjectBRCA1 proteinen
dc.titleDetection of single amino acid mutation in human breast cancer by disordered plasmonic self-similar chainen
dc.typeArticleen
dc.contributor.departmentPhysical Sciences and Engineering (PSE) Divisionen
dc.contributor.departmentBiological and Environmental Sciences and Engineering (BESE) Divisionen
dc.contributor.departmentPRIMALIGHT Research Groupen
dc.contributor.departmentElectrical Engineering Programen
dc.identifier.journalScience Advancesen
dc.eprint.versionPublisher's Version/PDFen
dc.contributor.institutionBio-Nanotechnology and Engineering for Medicine (BIONEM), Department of Experimental and Clinical Medicine, University of Magna Graecia Viale Europa, Germaneto, Catanzaro 88100, Italyen
dc.contributor.institutionDepartment of Electrical Engineering and Information Technology, University of Naples, Naples 80125, Italyen
dc.contributor.institutionNanostructures, Istituto Italiano di Tecnologia, via Morego 30, Genova 16163, Italyen
dc.contributor.affiliationKing Abdullah University of Science and Technology (KAUST)en
kaust.authorDas, Gobinden
kaust.authorGongora, J. S. Toteroen
kaust.authorAlrasheed, Salmaen
kaust.authorFratalocchi, Andreaen
kaust.authorLimongi, Taniaen
kaust.authorDi Fabrizio, Enzo M.en
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