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Chemical variability in the essential oil of leaves of Araçá (Psidium guineense Sw.), with occurrence in the Amazon

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Title
Chemical variability in the essential oil of leaves of Araçá (Psidium guineense Sw.), with occurrence in the Amazon
Published in
BMC Chemistry, May 2018
DOI 10.1186/s13065-018-0428-z
Pubmed ID
Authors

Pablo Luis B. Figueiredo, Renan C. Silva, Joyce Kelly R. da Silva, Chieno Suemitsu, Rosa Helena V. Mourão, José Guilherme S. Maia

Abstract

Psidium guineense, known as Araçá, is a Brazilian botanical resource with commercial application perspectives, based on the functional elements of its fruits and due to the use of its leaves as an anti-inflammatory and antibacterial agent. The essential oils of leaves of twelve specimens of Araçá were analyzed by GC and GC-MS to identify their volatile constituents and associate them with the biological activities reputed to the plant. In a total of 157 identified compounds, limonene, α-pinene, β-caryophyllene, epi-β-bisabolol, caryophyllene oxide, β-bisabolene, α-copaene, myrcene, muurola-4,10(14)-dien-1-β-ol, β-bisabolol, and ar-curcumene were the primary components in descending order up to 5%. Hierarchical Cluster Analysis (HCA) and Principal Component Analysis (PCA) displayed three different groups with the following chemical types: limonene/α-pinene, β-bisabolene/epi-β-bisabolol, and β-caryophyllene/caryophyllene oxide. With the previous description of another chemical type rich in spathulenol, it is now understood that at least four different chemotypes for P. guineense should occur. In addition to the use of the Araçá fruits, which are rich in minerals and functional elements, it should be borne in mind that the knowledge of the chemical composition of the essential oils of leaves of their different chemical types may contribute to the selection of varieties with more significant biological activity.

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Geographical breakdown

Country Count As %
Unknown 48 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 10 21%
Student > Bachelor 7 15%
Student > Doctoral Student 5 10%
Researcher 4 8%
Professor 3 6%
Other 6 13%
Unknown 13 27%
Readers by discipline Count As %
Chemistry 10 21%
Agricultural and Biological Sciences 7 15%
Pharmacology, Toxicology and Pharmaceutical Science 3 6%
Biochemistry, Genetics and Molecular Biology 3 6%
Chemical Engineering 3 6%
Other 5 10%
Unknown 17 35%