4.8 Article

Investigation of Human Blood Plasma Sample Preparation for Performing Metabolomics Using Ultrahigh Performance Liquid Chromatography/Mass Spectrometry

Journal

ANALYTICAL CHEMISTRY
Volume 81, Issue 9, Pages 3285-3296

Publisher

AMER CHEMICAL SOC
DOI: 10.1021/ac8024569

Keywords

-

Ask authors/readers for more resources

The following study investigates the preparation of human blood plasma for metabolomic profiling analysis by ultra-high performance liquid chromatography coupled to time-of-flight mass spectrometry (UPLC/TOFMS) in a novel two-step design study. Four different organic solvents (acetonitrile, acetone, methanol, and ethanol) were used to assess human blood plasma preparation via protein precipitation. The optimal conditions for sample preparation were investigated, with consideration to the number of extracted markers, data quality/reproducibility, and column lifetime prolongation. Isotopically labeled internal standards were used to monitor data. quality/reproducibility. Gel electrophoresis was also used to measure the protein content in the supernatant of the first design step allowing assessment of the amount of protein that would be injected/accumulate onto the column after many injections that would be apparent in a global metabolic profiling study. The second design step followed on from the results obtained in step one, with four of the best conditions selected and further investigated, looking at the effects of vortex time and temperature on precipitation/extraction. Two choices of solvent compositions were found to be optimal for preparation of plasma for global metabolic profiling analysis; these were 'methanol/ethanol (1:1, v/v) and methanol/acetonitrile/acetone (1: 1:1, v/v/v) added to plasma (4:1 ratio, 400 mu L total volume).

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.8
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available