Dissemin is shutting down on January 1st, 2025

Published in

American Chemical Society, Analytical Chemistry, 1(85), p. 341-348, 2012

DOI: 10.1021/ac302919t

Links

Tools

Export citation

Search in Google Scholar

Comparative Analysis of Sample Preparation Methods To Handle the Complexity of the Blood Fluid Metabolome: When Less Is More

This paper is available in a repository.
This paper is available in a repository.

Full text: Download

Green circle
Preprint: archiving allowed
  • Must obtain written permission from Editor
  • Must not violate ACS ethical Guidelines
Orange circle
Postprint: archiving restricted
  • Must obtain written permission from Editor
  • Must not violate ACS ethical Guidelines
Red circle
Published version: archiving forbidden
Data provided by SHERPA/RoMEO

Abstract

Blood sample preparation before LC-MS metabolomic fingerprinting is one of the most challenging and error-prone part of the analytical procedure. Besides proteins, phospholipids contained in blood fluids are known to cause matrix effects and ion suppression phenomena, thus masking biological variation. Nevertheless, the commonly used sample preparation techniques do not consider their removal prior to analysis. Pooled plasma and serum samples were used as biological material, partly as raw samples and partly spiked with distinct concentrations of a metabolite mix (1-5 μg/mL). Prior to LC-ESI-qToF-MS-driven metabolomic analysis, samples were subjected to different preparation methods consisting of three extractions with organic solvents (acetonitrile, methanol and methanol/ethanol), a membrane-based solvent-free technique, and a hybrid method combining solvent extraction and SPE-mediated removal of phospholipids. The comparative analysis among sample preparation procedures was based on the capacity to detect endogenous compounds in raw samples, differentiate raw versus spiked samples, and reveal real-life metabolomic changes following a dietary intervention. Method speed, minimum sample handling, compatibility to automation and applicability to large-scale metabolomics studies were also considered. The combination of solvent deproteinization and the selective removal of phospholipids revealed to be the most suitable method in terms of improvement of non-lipid metabolite coverage, extraction reproducibility, quickness and compatibility with automation, the minimization of matrix effects being among the most probable causes for the good extraction performance associated with the removal of phospholipid species. The main advantage of conventional solvent extraction procedures was the metabolite information coverage for lipid low-molecular weight species, and extraction with acetonitrile was generally the second-choice for sample preparation. Ultrafiltration was the least effective method for plasma and serum preparation, thus its use without a previous solvent extraction step of the samples should be discarded. According to the presented data, there is no apparent reason to believe that sacrificing information on lipid compounds is a too high price to pay in order to gain more information on non-lipid LMW metabolites. Keywords: metabolomics, q-ToF-MS, sample preparation, plasma and serum, phospholipids removal, solvent extraction, ultrafiltration.