title: Multireflection sum frequency generation vibrational spectroscopy.
abstract: We developed a multireflection data collection method in order to improve the signal-to-noise ratio (SNR) and sensitivity of sum frequency generation (SFG) spectroscopy, which we refer to as multireflection SFG, or MRSFG for short. To achieve MRSFG, a collinear laser beam propagation geometry was adopted and trapezoidal Dove prisms were used as sample substrates. An in-depth discussion on the signal and SNR in MRSFG was performed. We showed experimentally, with "m" total internal reflections in a Dove prism, MRSFG signal is ∼m times that of conventional SFG; SNR of the SFG signal-to-background is improved by a factor of >m(1/2) and <m. MRSFG also improved the SFG sensitivity to resolve weak vibrational signals. Surface molecular structures of adsorbed ethanol molecules, polymer films, and a lipid monolayer were characterized using both MRSFG and conventional SFG. Molecular orientation information on lipid molecules with a 9% composition in a mixed monolayer was measured using MRSFG, which showed a good agreement with that derived from 100% lipid surface coverage using conventional SFG. MRSFG can both improve the spectral quality and detection limit of SFG spectroscopy and is expected to have important applications in surface science for studying structures of molecules with a low surface coverage or less ordered molecular moieties.
authors.affiliation: Departments of †Chemistry and ‡Biophysics, University of Michigan, 930 North University Avenue, Ann Arbor, Michigan 48109, United States.
authors.forename: Chi
authors.initials: C
authors.lastname: Zhang
authors.affiliation: Departments of †Chemistry and ‡Biophysics, University of Michigan, 930 North University Avenue, Ann Arbor, Michigan 48109, United States.
authors.forename: Joshua
authors.initials: J
authors.lastname: Jasensky
authors.affiliation: Departments of †Chemistry and ‡Biophysics, University of Michigan, 930 North University Avenue, Ann Arbor, Michigan 48109, United States.
authors.forename: Zhan
authors.initials: Z
authors.lastname: Chen