Discovery of senescence associated metabolites in Juglans regia leaves by the use of principal component analysis (PCA)
T Ellendorff, J Sendker, TJ Schmidt · Zeitschrift für Phytotherapie · 2013 · Heft 03
Bibliografische Angaben
Zusammenfassung
During the last few years, the development of analytical methods has made great progress. Especially analytical methods such as UPLC-MS, being very fast and accurate and thus allowing the generation of a great amount of data at high speed have become more and more popular. In order to cope with the quantity of data being generated, methods of multivariate statistical analysis (MVA) can be used to minimize a complex data matrix and to extract the most relevant data. In this project, principal component analysis (PCA) was used to discover differences in the LC-MS fingerprint chromatograms between samples of green…