Fractionation of human serum lipoproteins and simultaneous enzymatic determination of cholesterol and triglycerides

Fractionation of human serum lipoproteins and simultaneous enzymatic determination of cholesterol and triglycerides
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DOI:
10.1016/j.aca.2009.06.060
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发表时间:
2009-11-03
影响因子:
6.2
通讯作者:
Schoenmakers, Peter J.
Schoenmakers, Peter J.
中科院分区:
化学1区
文献类型:
--
作者:
Qureshi, Rashid Nazir;Kok, Wim Th.;Schoenmakers, Peter J.

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A method based on Asymmetric Flow Field-Flow Fractionation (AF4) was developed to separate different types of lipoproteins from human serum. The emphasis in the method optimization was on the possibilities to characterize the largest lipoprotein fractions (LDL and VLDL), which is usually not possible with the size-exclusion chromatography methods applied in routine analysis. Different channel geometries and flow programs were tested and compared. The use of a short fractionation channel was shown to give less sample dilution at the same fractionation power compared to a conventional, long channel. Different size selectivities were obtained with an exponential decay and a linear cross flow program. The ratio of the UV absorption signal to the light scattering signal was used to validate the relation between retention time and size of the fractionated particles.An experimental setup was developed for the simultaneous determination of the cholesterol and triglycerides distribution over the lipoprotein fractions, based on enzymatic reactions followed by UV detection at 500 nm. Coiled and knitted PTFE tubing reactors were compared. An improved peak sharpness and sensitivity were observed with the knitted tubing reactor. After optimization of the experimental conditions a satisfactory linearity and precision (2-3% rsd for cholesterol and 5-6% rsd for triglycerides) were obtained. Finally, serum samples, a pooled sample from healthy volunteers and samples of sepsis patients, were analyzed with the method developed. Lipoprotein fractionation and cholesterol and triglyceride distributions could be correlated with the clinical background of the samples. (C) 2009 Elsevier B.V. All rights reserved.