Abstract

Poster Presentations

Day 2, May 18(Thu.)  Room P (Multi-purpose Hall)

Automated sample preparation using robotic platform for metabolomic analysis

(1Kyushu Univ., 2AMR, 3GL Sciences, 4Agilent)
Yuki Soma1, Toshiyuki Yamashita1, Masatomo Takahashi1, Kosuke Hata1, Takatomo Kawamukai2, Teruhisa Shiota2, oKayoko Yamada2, Hiromi Miyagawa3, Kenichi Suzuki3, Kuniyo Sugitate4, Takeshi Serino4, Yoshihiro Izumi1, Takeshi Bamba1

Metabolomic analysis is prone to technical errors at different states of sample preparation (e.g. extraction, purification, derivatization). Therefore, reproducible sample preparation is vital for ensuring reproducible and reliable results. Additionally, sample preparation has historically been a time-consuming challenge and a crucial bottleneck in the whole analytical process. It is desired to develop a method for reproducible, reliable and labor and time-saving sample preparation. Application of robotic platform to automation of sample preparation is a promising approach in this direction. Herein, we developed an automated sample preparation protocol based on a robotic platform PAL RTC (CTC Analytics AG, Zwingen Switzerland), which represent a modified Bligh and Dyer method producing samples for both hydrophilic metabolomics using GC-MS and lipidomics using SFC-MS simultaneously. We evaluated the reproducibility of the automated method and a conventional manual method using serum samples. The RSD of relative peak area for each determined compound in the result of lipidomic and metabolomic analysis were equivalent between the automated method and the manual method.