Development of molecularly-based signals from food products using LC-MS in foodomics

2017 Fiscal Year Final Research Report

• Project/Area Number: 15K00879
• Research Category: Grant-in-Aid for Scientific Research (C)
• Allocation Type: Multi-year Fund
• Section: 一般
• Research Field: Eating habits
• Research Institution: Ritsumeikan University
• Principal Investigator: Inoue Koichi 立命館大学, 薬学部, 准教授 (30339519)
• Project Period (FY): 2015-04-01 – 2018-03-31
• Keywords: 食品汚染 / LC-MS / 多変量解析

Outline of Final Research Achievements

In this study including the field of metabolomics for food defense, the novel evaluation of low-molecular-weight compounds using untargeted LC coupled with electrospray time-of-flight MS and multivariate statistical analysis method is proposed for the quality assessment of the classification, contamination and degradation of food products (infant formula). The LC-MS is used to monitor more detected numbers in food samples. Based on these properties of infant formula, significant differences in the classification of types and origins, the contamination of unknown compound as melamine and the degradations for one week were evaluated based on the PCA patterns. With the metabolomics strategy, the difference from the low-molecular-weight compounds could be utilized for the evaluation of the classification, contamination and degradation of infant formulas for the food safety and quality.

Free Research Field

薬系分析