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

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

Dokumenter

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.
OriginalsprogEngelsk
TidsskriftTrends in Analytical Chemistry
Vol/bind94
Sider (fra-til)210-219
Antal sider10
ISSN0165-9936
DOI
StatusUdgivet - 2017

Bibliografisk note

CURIS 2017 NEXS 261

Antal downloads er baseret på statistik fra Google Scholar og www.ku.dk


Ingen data tilgængelig

ID: 183501928