多元统计
核磁共振波谱
核磁共振
脂蛋白
光谱学
化学
多元分析
超离心机
分析化学(期刊)
胆固醇
色谱法
物理
生物化学
医学
内科学
数学
统计
量子力学
作者
Violetta Aru,Chloie Lam,Bekzod Khakimov,Huub C. J. Hoefsloot,G. Zwanenburg,Mads Vendelbo Lind,Hartmut Schäfer,John van Duynhoven,Doris M. Jacobs,Age K. Smilde,Søren B. Engelsen
标识
DOI:10.1016/j.trac.2017.07.009
摘要
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.
科研通智能强力驱动
Strongly Powered by AbleSci AI