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Interval multivariate curve resolution in the dereplication of HPLC-DAD data from Jatropha gossypifolia
Alan Cesar Pilon1, R L Carneiro, F Carnevale Neto
1Nucleus of Bioassays, Biosynthesis and Ecophysiology of Natural Products, São Paulo State University Chemistry Institute, Department of Organic Chemistry, Rua Prof. Francisco Degni no 55 - CP355, 14800-900, Araraquara, São Paulo, Brazil.
Introduction:
Jatropha gossypifolia has been used quite extensively by traditional medicine for the treatment of several diseases in South America and Africa. This medicinal plant has therapeutic potential as a phytomedicine and therefore the establishment of innovative analytical methods to characterise their active components is crucial to the future development of a quality product.
Objective:
To enhance the chromatographic resolution of HPLC-UV-diode-array detector (DAD) experiments applying chemometric tools.
Methods:
Crude leave extracts from J. gossypifolia were analysed by HPLC-DAD. A chromatographic band deconvolution method was designed and applied using interval multivariate curve resolution by alternating least squares (MCR-ALS).
Results:
The MCR-ALS method allowed the deconvolution from up to 117% more bands, compared with the original HPLC-DAD experiments, even in regions where the UV spectra showed high similarity. The method assisted in the dereplication of three C-glycosylflavones isomers: vitexin/isovitexin, orientin/homorientin and schaftoside/isoschaftoside.
Conclusion:
The MCR-ALS method is shown to be a powerful tool to solve problems of chromatographic band overlapping from complex mixtures such as natural crude samples.
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