- 第2日 6月23日（木） 12:20～13:20 B会場（409，410）
Lately, several analytical techniques for metabolomics have been developed and they have been applied in various fields, such as medicine, food, and the environment. However, metabolomics suffers from remaining problems, such as reproducibility and inefficiency (resulting from sample preparation, analytical instrument conditions, and data-processing methods), because of the poor understanding of how these three subject fields are linked. Additionally, metabolomics is mainly performed using three processes: sample preparation, instrumental analysis, and data mining, and the metabolomics technologies related to these processes are specific and very complicated. Many researchers, including our group, have been working on the development of various metabolomics technologies for more than 20 years. However, there remains room for improvement in the coverage of metabolites, quantitative performance, reproducibility, differences between experimental errors in different batches, etc. Additionally, it is necessary to develop a dynamic analysis system, because most metabolomics methods provide snapshots and cannot provide information about dynamic changes. Therefore, further improvements in analytical and data-mining techniques are needed to develop a more general and global approach to metabolomics. In this session, I will introduce current metabolomics technologies and describe the key technologies essential for the next generation of metabolomics.