An automated high-throughput sample preparation method using double-filtration for serum metabolite LC-MS analysis

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The rapid and reproducible preparation of biological samples is an essential requirement for LC-MS-based clinical metabolomic profiling. Herein, we proposed a novel, automated sample preparation method for serum metabolite LC-MS analysis. This method included a one-step double-filtration process with two filters (30k and 10k MWCO). High sample throughput (up to 96 samples) was achieved in an automated manner by incorporating the process in a liquid handling robotic system. The effectiveness of the developed method was evaluated through comparison with a conventional manual centrifugation-based method using seven human serum samples. A higher metabolite recovery and better reproducibility were achieved in quantitative analysis using the automated double-filtration method. The results suggested that the multiplexed serum sample preparation system can be applied to large-scale untargeted metabolomics studies.
Publisher
ROYAL SOC CHEMISTRY
Issue Date
2019-08
Language
English
Article Type
Article
Citation

ANALYTICAL METHODS, v.11, no.31, pp.4060 - 4065

ISSN
1759-9660
DOI
10.1039/c9ay01137d
URI
http://hdl.handle.net/10203/265550
Appears in Collection
BS-Journal Papers(저널논문)
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