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

Research output: Contribution to journalArticleAcademicpeer-review

9 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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Nuclear magnetic resonance spectroscopy
Lipoproteins
Lipids
Blood
Physics
Nuclear magnetic resonance
Ultracentrifugation

Cite this

Aru, V., Lam, C., Khakimov, B., Hoefsloot, H. C. J., Zwanenburg, G., Vendelbo Lind, M., ... Engelsen, S. B. (2017). Quantification of lipoprotein profiles by nuclear magnetic resonance spectroscopy and multivariate data analysis. TrAC : Trends in Analytical Chemistry, 94, 210-219. https://doi.org/10.1016/j.trac.2017.07.009
Aru, Violetta ; Lam, Chloie ; Khakimov, Bekzod ; Hoefsloot, H.C.J. ; Zwanenburg, Gooitzen ; Vendelbo Lind, Mads ; Schäfer, Hartmut ; van Duynhoven, J.P.M. ; Jacobs, Doris M. ; Smilde, Age K. ; Engelsen, Søren B. / Quantification of lipoprotein profiles by nuclear magnetic resonance spectroscopy and multivariate data analysis. In: TrAC : Trends in Analytical Chemistry. 2017 ; Vol. 94. pp. 210-219.
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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.{\circledC} 2017 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY license",
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Aru, V, Lam, C, Khakimov, B, Hoefsloot, HCJ, Zwanenburg, G, Vendelbo Lind, M, Schäfer, H, van Duynhoven, JPM, Jacobs, DM, Smilde, AK & Engelsen, SB 2017, 'Quantification of lipoprotein profiles by nuclear magnetic resonance spectroscopy and multivariate data analysis', TrAC : Trends in Analytical Chemistry, vol. 94, pp. 210-219. https://doi.org/10.1016/j.trac.2017.07.009

Quantification of lipoprotein profiles by nuclear magnetic resonance spectroscopy and multivariate data analysis. / Aru, Violetta; Lam, Chloie; Khakimov, Bekzod; Hoefsloot, H.C.J.; Zwanenburg, Gooitzen; Vendelbo Lind, Mads; Schäfer, Hartmut; van Duynhoven, J.P.M.; Jacobs, Doris M.; Smilde, Age K.; Engelsen, Søren B.

In: TrAC : Trends in Analytical Chemistry, Vol. 94, 2017, p. 210-219.

Research output: Contribution to journalArticleAcademicpeer-review

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AU - Aru, Violetta

AU - Lam, Chloie

AU - Khakimov, Bekzod

AU - Hoefsloot, H.C.J.

AU - Zwanenburg, Gooitzen

AU - Vendelbo Lind, Mads

AU - Schäfer, Hartmut

AU - van Duynhoven, J.P.M.

AU - Jacobs, Doris M.

AU - Smilde, Age K.

AU - Engelsen, Søren B.

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