Discrimination of Annona muricata and Rollinia mucosa extracts by using multivariate curve resolution and partial least-squares regression of liquid chromatography-diode array data
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Brazilian Chemical Society
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Species of the Annonaceae family are used in traditional medicine, and several antitumor
acetogenins have been isolated from the leaves of Annona muricata and Rollinia mucosa.
Leaves samples (self-shaded and sun-exposed) of these species were collected during winter
and summer seasons. Extraction media were prepared from mixtures of five solvents according
to a simplex centroid design. Plant extracts were analysed by injection into a high-performance
liquid chromatography with diode array detection (HPLC-DAD) and evaluated after applying by
multivariate curve resolution-alternating least-squares (MCR-ALS) and discriminant-unfolded
partial least-squares (D-UPLS). The objective was to check whether the chemometric resolution
of chromatographic profiles could help in the discrimination of samples according to taxonomic
classification, sun exposition and/or harvest season. The results indicate that extraction media
containing ethanol as main solvent achieved discrimination of self-shaded versus sun-exposed plants
and harvest season of Annona muricata. Also, D-UPLS analysis allowed taxonomic discrimination
between Annona muricata and Rollinia mucosa extract samples.
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