SERS-based ssDNA composition analysis with inhomogeneous peak broadening and reservoir computing

Nguyen, Phuong L.; Rubin, Shimon; Sarangi, Pulak; Pal, Piya; Fainman, Yeshaiahu

doi:10.1063/5.0075528

Title: SERS-based ssDNA composition analysis with inhomogeneous peak broadening and reservoir computing

Journal Article · 10 January 2022 · Applied Physics Letters

DOI: https://doi.org/10.1063/5.0075528 · OSTI ID:1979001

^[1]; Rubin, Shimon ^[2]; Sarangi, Pulak ^[2]; Pal, Piya ^[2]; Fainman, Yeshaiahu ^[2]

University of California San Diego, La Jolla, CA (United States); Univ. of California San Diego, La Jolla, CA (United States)
University of California San Diego, La Jolla, CA (United States)

Surface-enhanced Raman spectroscopy employed in conjunction with post-processing machine learning methods is a promising technique for effective data analysis, allowing one to enhance the molecular and chemical composition analysis of information rich DNA molecules. In this work, we report on a room temperature inhomogeneous broadening as a function of the increased adenine concentration and employ this feature to develop one-dimensional and two dimensional chemical composition classification models of 200 long single stranded DNA sequences. Afterwards, we develop a reservoir computing chemical composition classification scheme of the same molecules and demonstrate enhanced performance that does not rely on manual feature identification.

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Research Organization:: University of California San Diego, La Jolla, CA (United States)

Sponsoring Organization:: USDOE Office of Science (SC), Basic Energy Sciences (BES); Defense Advanced Research Projects Agency (DARPA); Office of Naval Research (ONR); National Science Foundation (NSF); San Diego Nanotechnology Infrastructure (SDNI)

Grant/Contract Number:: SC0019273

OSTI ID:: 1979001

Journal Information:: Applied Physics Letters, Journal Name: Applied Physics Letters Journal Issue: 2 Vol. 120; ISSN 0003-6951

Publisher:: American Institute of Physics (AIP)Copyright Statement

Country of Publication:: United States

Language:: English

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71 CLASSICAL AND QUANTUM MECHANICS
GENERAL PHYSICS
Raman spectroscopy
chemical composition
computational methods
deoxyribonucleic acid
machine learning

Title: SERS-based ssDNA composition analysis with inhomogeneous peak broadening and reservoir computing

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