Facile background discrimination in femtosecond stimulated raman spectroscopy using a dual-frequency raman pump technique

Kajari Bera, Siu Yi Kwang, Alyssa A. Cassabaum, Christopher C. Rich, Renee R. Frontiera

Research output: Contribution to journalArticlepeer-review

4 Scopus citations

Abstract

Femtosecond stimulated Raman spectroscopy (FSRS) is a useful technique for uncovering chemical reaction dynamics by acquiring high-resolution Raman spectra with ultrafast time resolution. However, in FSRS, it can be challenging to discern Raman features from signals arising from transient absorption and other four-wave mixing pathways. To overcome this difficulty, we combine the principles of shifted excitation Raman difference spectroscopy with a simple fixed frequency comb to perform dual-frequency Raman pump FSRS. Through the addition of only two mirrors and a slit to the standard FSRS setup, this method provides Raman spectra at two different excitation wavelengths that can be processed by an automated algorithm to reconstruct the Raman spectrum. Here, we demonstrate the utility of dual-frequency Raman pump FSRS to easily identify Raman signatures by visual inspection for excited-state and ground-state spectra, both on- and off-resonance. We show that previously assigned short-lived vibrations of photoexcited β-carotene are actually not vibrational in nature. We also use crystalline betaine-30 as a challenging test case for this method, as the FSRS spectra contain a number of narrow transient vibronic and non-SRS features. By reliably reducing interference from background signals, the interpretation is substantially more quantitative and enables the future study of new systems, particularly those with small Raman cross-sections or solid-state samples with narrow vibronic features.

Original languageEnglish (US)
Pages (from-to)7932-7939
Number of pages8
JournalJournal of Physical Chemistry A
Volume123
Issue number37
DOIs
StatePublished - Sep 19 2019

Bibliographical note

Funding Information:
This work is supported by the National Science Foundation, CHE-1552849 (K.B. and A.A.C.) and Department of Energy, DE-SC0018203 (S.Y.K. and C.C.R.). We thank Amartyajyoti Saha and Dr. David Punihaole for helpful discussions on the reconstruction algorithm.

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