@article{00a2854688764692a44492a1a5443b63,
title = "Quantification of lipoprotein profiles by nuclear magnetic resonance spectroscopy and multivariate data analysis",
abstract = "Lipoproteins and their subfraction profiles have been associated to diverse diseases including CardioVascular Disease (CVD). There is thus a great demand for measuring and quantifying the lipoproteinprofile in an efficient and accurate manner.Nuclear Magnetic Resonance (NMR) spectroscopy is uniquely able to measure the lipoprotein profile ofa 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.{\textcopyright} 2017 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY license",
keywords = "Chylomicrons, HDL, IDL, LDL, Lipoprotein distribution, Lipoprotein subfractions, Multivariate regression, Nuclear magnetic resonance spectroscopy, Ultracentrifugation, VLDL",
author = "Violetta Aru and Chloie Lam and Bekzod Khakimov and H.C.J. Hoefsloot and Gooitzen Zwanenburg and {Vendelbo Lind}, Mads and Hartmut Sch{\"a}fer and {van Duynhoven}, J.P.M. and Jacobs, {Doris M.} and Smilde, {Age K.} and Engelsen, {S{\o}ren B.}",
year = "2017",
doi = "10.1016/j.trac.2017.07.009",
language = "English",
volume = "94",
pages = "210--219",
journal = "TrAC : Trends in Analytical Chemistry",
issn = "0165-9936",
publisher = "Elsevier",
}