Principal component analysis of molecularly based signals from infant formula contaminations using LC-MS and NMR in foodomics.

Abstract

BACKGROUND The challenge in developing analytical assessment of unexpected excess contaminations in infant formula has been the most significant project to address the widespread issue of food safety and security. Foodomics based on metabolomics techniques provides powerful tools for the detection of tampering cases with intentional contaminations. However… (More)
DOI: 10.1002/jsfa.7584

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Cite this paper

@article{Inoue2016PrincipalCA, title={Principal component analysis of molecularly based signals from infant formula contaminations using LC-MS and NMR in foodomics.}, author={Koichi Inoue and Chihiro Tanada and Takahiro Hosoya and Shuhei Yoshida and Takashi Akiba and Jun Min and Kenichiro Todoroki and Yutaka Yamano and Shigenori Kumazawa and Toshimasa Toyo'oka}, journal={Journal of the science of food and agriculture}, year={2016}, volume={96 11}, pages={3876-81} }