Trends in the application of chemometrics to foodomics studies
Chemometrics
DOI:
10.1556/aalim.44.2015.1.1
Publication Date:
2015-02-17T02:20:44Z
AUTHORS (3)
ABSTRACT
There is an ever-increasing trend in advanced food analysis and foodomics to use more sophisticated analytical platforms that generate large complex data structures, which turn require tools for converting into information.The choice of multivariate chemometric methods primarily determined by the design study, type data, conclusions sought.In order validate models, scientists are required have basic knowledge be familiar with variance structure investigated data.This review outlines some key aspects applying common used within provides selected examples current applications.The aims provide simple insight various illustrate pros cons unsupervised supervised methods.The main briefl y discussed from application point view utilization generated illustrated.In addition, pre-processing tools, prior analysis, explained relevant demonstrated.
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