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Deciphering the orientation of lipid molecules by principal component analysis of Raman mapping data

Abstract

The orientation of lipid molecules is an essential characteristic of supported phospholipid layers, synthetic lipid structures, and biological specimens. Here, we apply Raman spectroscopy to analyze the orientation order in lipid structures. For this purpose, we studied a dry oriented planar DMPC sample and multilamellar DPPC vesicles in water using Raman mapping. Principal component analysis (PCA) was applied to extract the information about the orientational order of lipid molecules. Using PCA, we revealed the features in phospholipid spectra that are sensitive to hydrocarbon chain orientation relative to the polarization of the laser radiation. These spectral features include Raman peaks corresponding to stretching C-C, twisting CH2, rocking and stretching CH3 modes. We suggest to use them as markers of hydrocarbon chain orientation along with light polarization. The proposed Raman analysis can be used to study samples with different level of hydration.

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Publication details

The article was received on 06 Aug 2019, accepted on 27 Nov 2019 and first published on 28 Nov 2019


Article type: Paper
DOI: 10.1039/C9AN01499C
Analyst, 2019, Accepted Manuscript

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    Deciphering the orientation of lipid molecules by principal component analysis of Raman mapping data

    K. A. Okotrub, V. Zykova, S. Adichtchevh and N. V. Surovtsev, Analyst, 2019, Accepted Manuscript , DOI: 10.1039/C9AN01499C

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