Journal of
Medicinal Plants Research

  • Abbreviation: J. Med. Plants Res.
  • Language: English
  • ISSN: 1996-0875
  • DOI: 10.5897/JMPR
  • Start Year: 2007
  • Published Articles: 3654

Full Length Research Paper

Antimicrobial activity and acetilcolinesterase inhibition of oils and Amazon fruit extracts

Pedro Rômulo Estevam Ribeiro
  • Pedro Rômulo Estevam Ribeiro
  • Post-graduate Program in Biodiversity and Biotecnology, State Coordination of Roraima, Federal University of Roraima, Campus Paricarana, Brazil
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Ricardo Carvalho dos Santos
  • Ricardo Carvalho dos Santos
  • Instituto Insikiran de Formação Superior Indígena, Federal University of Roraima, Campus Paricarana, Brazil
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Antonio Alves de Melo Filho
  • Antonio Alves de Melo Filho
  • Post-graduate Program in Biodiversity and Biotecnology, State Coordination of Roraima, Federal University of Roraima, Campus Paricarana, Brazil
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Ricardo Santos Alemán
  • Ricardo Santos Alemán
  • Departament of Food Science. Louisiana State University, United States.
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Jacqueline Aparecida Takahashi
  • Jacqueline Aparecida Takahashi
  • Departament of Chemistry. Federal University of Minas Gerais, Brazil.
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Selvin Antonio Saravia Maldonado
  • Selvin Antonio Saravia Maldonado
  • Faculty of Earth Sciences and Conservation, National University of Agriculture, Catacamas, Olancho, Honduras
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Edvan Alves Chagas
  • Edvan Alves Chagas
  • Post-graduate Program in Biodiversity and Biotecnology, State Coordination of Roraima, Federal University of Roraima, Campus Paricarana, Brazil
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Ismael Montero Fernández
  • Ismael Montero Fernández
  • Post-graduate Program in Biodiversity and Biotecnology, State Coordination of Roraima, Federal University of Roraima, Campus Paricarana, Brazil
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Jhunior Abrahan Marcia Fuentes
  • Jhunior Abrahan Marcia Fuentes
  • Faculty of Technological Sciences, National University of Agriculture, Catacamas, Olancho, Honduras
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Pollyana Cardoso Chagas
  • Pollyana Cardoso Chagas
  • Post-graduate Program in Biodiversity and Biotecnology, State Coordination of Roraima, Federal University of Roraima, Campus Paricarana, Brazil
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Ana Cristina Gonçalves Reis de Melo
  • Ana Cristina Gonçalves Reis de Melo
  • Research and Postgraduate Nucleus in Science and Technology, Federal University of Roraima, Brazil.
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  •  Received: 26 February 2018
  •  Accepted: 26 March 2018
  •  Published: 31 March 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), araçá (Psidium cattleianum), bacuparí (Rheedia gardneriana), biribá (Rollinia mucosa), camu-camu (Myrciaria dubia), fruta-do-conde (Annona squamosa), graviola (Annona muricata) and taperebá (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 taperebá barks extracts, acerola barks (87.12%), araçá seed (85.23%) and taperebá 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 biribá barks, with 86.39% inhibition, taperebá 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).