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Antimicrobial activity and acetilcolinesterase inhibition of oils and Amazon fruit extracts

Authors :
Edvan Alves Chagas
Ricardo Santos Alemán
Antonio Alves de Melo Filho
Pedro Rã mulo Estevam Ribeiro
Jhunior Abrahan Marcia Fuentes
Jacqueline A. Takahashi
Ana Cristina Gonçalves Reis de Melo
Ismael Montero Fernández
Pollyana Cardoso Chagas
Selvin Antonio Saravia Maldonado
Ricardo Carvalho dos Santos
Source :
Journal of Medicinal Plants Research. 14:88-97
Publication Year :
2020
Publisher :
Academic Journals, 2020.

Abstract

The present work consists of the evaluation of antimicrobial activity and inhibition of the enzyme acetylcholinesterase (AChE) of fixed oils and hexane extracts of nine fruits with the following native names: abiu (Pouteria caimito), acerola (Malpighia emarginata), araca (Psidium cattleianum), bacupari (Rheedia gardneriana), biriba (Rollinia mucosa), camu-camu (Myrciaria dubia), fruta-do-conde (Annona squamosa), graviola (Annona muricata) and tapereba (Spondias mombin L.). Different evaluations were carried out with different parts of the fruits, pulp, seed and barks. The antimicrobial assay was carried out with the following microorganisms: Candida albicans ATCC 18804, Staphylococcus aureus ATCC 29212, Bacillus cereus ATCC 11778, Escherichia coli ATCC 25922 and Salmonella typhimurium ATCC 14028. Of these microorganisms, the best inhibition results were obtained for yeast C. albicans with percent inhibition of 94.46% by tapereba barks extracts, acerola barks (87.12%), araca seed (85.23%) and tapereba pulp (85.22%). Against the bacteria tested, percent inhibition was low, showing that the extracts have good antifungal selectivity. Some extracts were able to inhibit the enzyme AChE and high percentage of inhibition was observed for the oils, especially from biriba barks, with 86.39% inhibition, tapereba seeds with 62.17% and acerola pulp with 52.18%. Methods of Multivariate Analysis were applied through Principal Component Analysis (PCA) and Hierarchical component analysis (HCA), to establish correlations and groupings between the data obtained, justifying 82.3% of cases for pulps, 73.2% for the barks and 65.7% for the seeds according to the PCA. Key words: Bacteria, yeasts, Alzheimer, principal component analysis (PCA), hierarchical component analysis (HCA).

Details

ISSN :
19960875
Volume :
14
Database :
OpenAIRE
Journal :
Journal of Medicinal Plants Research
Accession number :
edsair.doi...........04c5e2039f5a19f3d10765ea2f55ef30