Mathematical model for biomolecular quantification using surface-enhanced Raman spectroscopy based signal intensity distributions

Mirko Palla, Filippo Giacomo Bosco, Jaeyoung Yang, Tomas Rindzevicius, Tommy Sonne Alstrøm, Michael Stenbæk Schmidt, Qiao Lin, Jingyue Ju, Anja Boisen

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Abstract

This paper presents the development of a novel statistical method for quantifying trace amounts of biomolecules by surface-enhanced Raman spectroscopy (SERS) using a rigorous, single molecule (SM) theory based mathematical derivation. Our quantification framework could be generalized for planar SERS substrates, in which the nanostructured features can be approximated as a closely spaced electromagnetic dimer problem. The potential for SM detection was also shown, which opens up an exciting opportunity in the field of SERS quantification.
Original languageEnglish
Title of host publicationProceedings of IEEE Sensors 2015
PublisherIEEE
Publication date2015
Pages1-4
ISBN (Print)978-1-4799-8202-8
DOIs
Publication statusPublished - 2015
Event14th IEEE Sensors 2015 - Busan, Korea, Republic of
Duration: 1 Nov 20154 Nov 2015
Conference number: 14
http://ieee-sensors2015.org/

Conference

Conference14th IEEE Sensors 2015
Number14
CountryKorea, Republic of
CityBusan
Period01/11/201504/11/2015
Internet address

Keywords

  • Surface-enhanced Raman spectroscopy
  • Theoretical modeling
  • Statistical quantification
  • Signal intensity distribution
  • Raman mapping
  • Biosensing

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