An automated high-throughput sample preparation method using double-filtration for serum metabolite LC-MS analysis. Issue 31 (15th July 2019)

• Record Type: Journal Article
• Authors: Joo, Minjoong; Park, Jong-Moon; Duong, Van-An; Kwon, Dami; Jeon, Jongho; Han, Miso; Cho, Byung-Kwan; Choi, Hyung-Kyoon; Lee, Choul-Gyun; Kang, Hee-Gyoo; Lee, Hookeun
• Is Part Of: Analytical methods. Volume 11:Issue 31(2019)
• Page Start: 4060
• Page End: 4065
• Publication Date: 2019-07-15
• Subjects: Chemistry, Analytic -- Periodicals; Analytical biochemistry -- Periodicals; Chemical laboratories -- Standards -- Periodicals; 543.1905
• DOI: 10.1039/c9ay01137d
• Languages: English
• ISSNs: 1759-9660

Abstract

Abstract : A novel, automated sample preparation method for serum metabolite LC-MS analysis was developed using a double-filtration system. Abstract : 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.