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

Research output: Contribution to journalJournal articleResearchpeer-review


Violetta Aru, Chloie Lam, Bekzod Khakimov, Huub C J Hoefsloot, Gooitzen Zwanenburg, Mads Vendelbo Lind, Hartmut Schäfer, John van Duynhoven, Doris M Jacobs, Age K Smilde, Søren Balling Engelsen

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.
Original languageEnglish
JournalTrends in Analytical Chemistry
Pages (from-to)210-219
Number of pages10
Publication statusPublished - 2017

    Research areas

  • The Faculty of Science - Lipoprotein distribution, Lipoprotein subfractions, Ultracentrifugation, Nuclear magnetic resonance spectroscopy, Multivariate regression, LDL, HDL, VLDL, IDL, Chylomicrons

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