Raman spectroscopy characterization of the major classes of plasma lipoproteins

Alessandra Ricciardi, Gabriele Piuri, Matteo Della Porta, Serena Mazzucchelli, Arianna Bonizzi, Marta Truffi, Marta Sevieri, Raffaele Allevi, Fabio Corsi, Roberta Cazzola, Carlo Morasso

Research output: Contribution to journalArticlepeer-review

Abstract

Raman spectroscopy has been vastly employed for the characterization of different bio-molecular species spanning from single protein to the in-vivo analysis of tissues. However, despite the huge work done, a detailed description of the Raman spectra acquired from the main classes of plasma lipoproteins is still missing. In this work, we extracted, the major classes of lipoproteins: the triacylglycerol-rich very low density lipoproteins (VLDL); the more cholesterol-rich low density lipoproteins (LDL); and the high density lipoproteins (HDL); from human plasma of six fasting healthy volunteers. The extracted lipoproteins were dried on CaF2 slides and analysed using a 633 nm laser line non-in resonance with the carotenoids present in the sample. The obtained spectra showed peaks relative to the different biomolecules composing lipoproteins: cholesterol, triglycerides, membrane lipids, carotenoids, and apolipoproteins (proteins). The intensity of the peaks from lipids and proteins are well in accordance with the measured composition of lipoproteins; but the information is acquired in a much faster way by Raman spectroscopy. Besides, Raman spectroscopy provides easily information on the levels of carotenoids and unsaturated fatty acid present in the samples. Overall, our data provide a clear comprehension of the Raman spectra from lipoproteins ad suggest that Raman spectroscopy could be a viable approach for the fast characterization of lipoproteins.

Original languageEnglish
Article number103073
JournalVibrational Spectroscopy
Volume109
DOIs
Publication statusPublished - Jul 2020

Keywords

  • Cholesterol
  • Fatty acids
  • HDL
  • LDL
  • Lipids
  • Lipoproteins
  • Raman spectroscopy
  • VLDL

ASJC Scopus subject areas

  • Spectroscopy

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