A Systematic Approach to Obtain Validated Partial Least Square Models for Predicting Lipoprotein Subclasses from Serum NMR Spectra - Mihaleva, Velitchka V; van Schalkwijk, Daniël B; de Graaf, Albert A; van Duynhoven, John; van Dorsten, Ferdinand A; Vervoort, Jacques; Smilde, Age; Westerhuis, Johan A; Jacobs, Doris M (Analytical chemistry (Washington), 2014)
Keywords: abnormalities; Aged; blood lipids; blood serum; chemometrics; Cholesterol; chromatography; Construction; dietary supplements; Diffusion; Double-Blind Method; fasting; Female; Forecasting; high density lipoprotein cholesterol; Humans; insulin-resistance; least squares; Least-Squares Analysis; Lipids; Lipoproteins; Lipoproteins, HDL - blood; Lipoproteins, HDL - classification; Lipoproteins, LDL - blood; Lipoproteins, LDL - classification; Lipoproteins, VLDL - blood; Lipoproteins, VLDL - classification; Liquid chromatography; low density lipoprotein; Male; Mathematical models; Middle Aged; model validation; NMR; Nuclear magnetic resonance; nuclear magnetic resonance spectroscopy; Nuclear Magnetic Resonance, Biomolecular - methods; nutritional intervention; Particle size; plasma-lipoproteins; prediction; Proteins; quantification; regression-models; Serums; Spectra; spectroscopy; Spectrum analysis; triacylglycerols; Triglycerides; very low density lipoprotein