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 language | English |
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Title of host publication | Proceedings of IEEE Sensors 2015 |
Publisher | IEEE |
Publication date | 2015 |
Pages | 1-4 |
ISBN (Print) | 978-1-4799-8202-8 |
DOIs | |
Publication status | Published - 2015 |
Event | 14th IEEE Sensors 2015 - Busan, Korea, Republic of Duration: 1 Nov 2015 → 4 Nov 2015 Conference number: 14 http://ieee-sensors2015.org/ |
Conference
Conference | 14th IEEE Sensors 2015 |
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Number | 14 |
Country/Territory | Korea, Republic of |
City | Busan |
Period | 01/11/2015 → 04/11/2015 |
Internet address |
Keywords
- Surface-enhanced Raman spectroscopy
- Theoretical modeling
- Statistical quantification
- Signal intensity distribution
- Raman mapping
- Biosensing