01879naa a2200217 a 450000100080000000500110000800800410001910000270006024502400008726000090032752011090033665000180144565000130146365000140147665000140149065300200150470000180152470000170154270000230155977300790158220775142017-11-16       2017    bl uuuu     u00u1 u    #d1 aPARACAMPO, N. E. N. P.  aChemotaxonomic study of Chrysobalanus icaco Linnaeus (Chrysobalanaceae) using ultra-high performance liquid chromatography coupled with diode array detection fingerprint in combination with multivariate analysis.h[electronic resource]  c2017  aWe investigated a strategy for the chemotaxonomy study of Chrysobalanus icaco Linnaeus (Chrysobalanaceae) based on ultra-high performance liquid chromatography coupled with diode array detection fingerprint in combination with multivariate analysis. Two models using principal component analysis and partial least squares discriminant analysis were developed, and the samples could be successfully classified into two classes: Class 1 (red morphotype) and Class 2 (white and black morphotypes). Furthermore, ultra-high performance liquid chromatography coupled with diode array and electrospray ionization tandem mass spectrometry was used to identify the main compounds responsible for class separation. The partial least squares discriminant analysis model accurately classified the C. icaco samples using an external validation subset with prediction ability of 100% and revealed the existence of two chemotypes. The most important finding obtained in this study is that the three morphotypes dis- tinguished by the mature fruit color (white, red, and black) are not all phytoequivalent to each other.  aChemotaxonomy  aTaxonomy  aBotânica  aTaxonomia  aQuimotaxonomía1 aPRANCE, G. T.1 aPOPPI, R. J.1 aSILVA, J. A. F. da  tJournal of Separation Science, Weinheimgv. 40, n. 10, p. 2161-2169, 2017.