Recent chemometrics advances for foodomics

TrAC Trends in Analytical Chemistry(2017)

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摘要
Foodomics is a newly developed discipline that has become more and more important in the last years where focus on food and the understanding of food systems has increased significantly. In this review, the flow of a typical foodomics study will be followed with a focus on the core components, where chemometric expertise is more deeply involved. These are: how to acquire sound data, how to exploit an experimental design, how to use classification in a proper way, how to look at more analytical platforms at the same time and, not the least, how to understand the limitations when interpreting the developed models. For each of these phases, the most common data issues will be highlighted and some of the most recent chemometric methods that are able to help solving them, will be presented.
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关键词
Foodomics,Data structure,Chemometrics,Peak deconvolution,Designed experiments data,Classification,Data-fusion,Cage of covariance
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