Work

High Speed Nonlinear Interferometric Vibrational Analysis of Lipids by Spectral Decomposition

Year: 2010

Type: article

Abstract: Unlike other CARS-based (coherent anti-Stokes Raman scattering) spectroscopy techniques, nonlinear interferometric vibrational spectroscopy (NIVS) is linear in analyte concentration and has a Raman line shape free of nonresonant background distortions. We use spontaneous Raman scattering as a high accuracy benchmark for NIVS. As a challenging comparison, we examine spectra in the CH stretching region of six lipid samples. Singular value decomposition and reference to an independent chemical assay are used to directly compare NIVS and spontaneous Raman scattering. We demonstrate that NIVS can determine the relative degree of unsaturation in six different lipid samples as accurately as spontaneous Raman spectroscopy, but 200 times faster. A skin tissue sample is mapped out to demonstrate quantitative lipid-protein differentiation with spatial resolution.

Source: Analytical Chemistry

DOI: 10.1021/ac100222c

Authors: Praveen D. Chowdary, Wladimir A. Benalcazar, Zhi Jiang, Daniel M. Marks, Stephen A. Boppart, Martin Gruebele

Institution: University of Illinois Urbana-Champaign

Language: English

Topic: Spectroscopy Techniques in Biomedical and Chemical Research

Subfield: Biophysics

Field: Biochemistry, Genetics and Molecular Biology

Domain: Life Sciences

Open Access status: green

Funders: National Institutes of Health, National Cancer Institute

Awards: G2960986291, Nonlinear Interferometric Vibrational Imaging of Cancer, Nonlinear Interferometric Vibrational Imaging of Cancer