| Literature DB >> 25794756 |
Koichi Inoue1, Chihiro Tanada1, Tasuku Sakamoto1, Haruhito Tsutsui1, Takashi Akiba2, Jun Zhe Min1, Kenichiro Todoroki1, Yutaka Yamano2, Toshimasa Toyo'oka3.
Abstract
In this study including the field of metabolomics approach for food, the evaluation of untargeted compounds using HILIC-ESI/TOF/MS and multivariate statistical analysis method is proposed for the assessment of classification, contamination and degradation of infant formula. HILIC mode is used to monitor more detected numbers in infant formulas in the ESI-positive scan mode than the reversed phase. The repeatability of the non-targeted contents from 4 kinds of infant formulas based on PCA was less than the relative standard deviation of 15% in all groups. The PCA pattern showed that significant differences in the classification of types and origins, the contamination of melamine and the degradations for one week were evaluated using HILIC-ESI/TOF/MS. In the S-plot from the degradation test, we could identify two markers by comparison to standards as nicotinic acid and nicotinamide. With this strategy, the differences from the untargeted compounds could be utilized for quality and safety assessment of infant formula.Entities:
Keywords: Foodomics; HILIC–MS; Infant formula; Metabolomics; Multivariate statistical analysis
Mesh:
Year: 2015 PMID: 25794756 DOI: 10.1016/j.foodchem.2015.02.117
Source DB: PubMed Journal: Food Chem ISSN: 0308-8146 Impact factor: 7.514