演題概要

ポスター発表

第2日 5月18日(木)  P会場(多目的ホール)

メタボロミクスのための次世代型多機能オートサンプラー/前処理ロボットによる自動前処理システムの構築

(1九大生医研2エーエムアール3ジーエルサイエンス4アジレント)
相馬悠希1山下俊幸1高橋政友1秦康祐1川向孝知2塩田晃久2o山田佳代子2宮川浩美3鈴木健一3杉立久仁代4芹野武4和泉自泰1馬場健史1

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.