Conference paper
Mathematical model for biomolecular quantification using surface-enhanced Raman spectroscopy based signal intensity distributions
Harvard University1
Department of Micro- and Nanotechnology, Technical University of Denmark2
Nanoprobes, Department of Micro- and Nanotechnology, Technical University of Denmark3
Columbia University4
Department of Applied Mathematics and Computer Science, Technical University of Denmark5
Cognitive Systems, Department of Applied Mathematics and Computer Science, Technical University of Denmark6
Center for Intelligent Drug Delivery and Sensing Using Microcontainers and Nanomechanics, Department of Health Technology, Technical University of Denmark7
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.
| Language: | English |
|---|---|
| Publisher: | IEEE |
| Year: | 2015 |
| Pages: | 1-4 |
| Proceedings: | 14th IEEE Sensors 2015 |
| ISBN: | 1479982024 , 1479982032 , 1479982040 , 9781479982028 , 9781479982035 and 9781479982042 |
| Types: | Conference paper |
| DOI: | 10.1109/ICSENS.2015.7370388 |
| ORCIDs: | Rindzevicius, Tomas , Alstrøm, Tommy Sonne and Boisen, Anja |
