Quantification of lipoprotein profiles by nuclear magnetic resonance spectroscopy and multivariate data analysis

Violetta Aru, Chloie Lam, Bekzod Khakimov, H.C.J. Hoefsloot, Gooitzen Zwanenburg, Mads Vendelbo Lind, Hartmut Schäfer, J.P.M. van Duynhoven, Doris M. Jacobs, Age K. Smilde, Søren B. Engelsen*

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

17 Citations (Scopus)

Abstract

Lipoproteins and their subfraction profiles have been associated to diverse diseases including Cardio
Vascular Disease (CVD). There is thus a great demand for measuring and quantifying the lipoprotein
profile in an efficient and accurate manner.
Nuclear Magnetic Resonance (NMR) spectroscopy is uniquely able to measure the lipoprotein profile of
a blood sample non-destructively due to its sensitivity to both lipid chemistry and lipid-micellar physics.
However, the NMR spectra must be scaled/regressed to a primary method of reference, such as ultracentrifugation,
using multivariate regression methods.
This review provides an overview of the field and explains the methods at stake.
© 2017 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY license
Original languageEnglish
Pages (from-to)210-219
JournalTrAC : Trends in Analytical Chemistry
Volume94
DOIs
Publication statusPublished - 2017

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