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Neutrosophic Sets and Systems

Abstract

Antimicrobial resistance is a global public health issue that, exacerbated by inappropriate antibiotic use, leads to reduced bactericidal effects, multidrug resistance, increased medical costs, prolonged hospital stays, and higher mortality rates. This study evaluates the antibacterial and antifungal activity of the es-sential oil of Hedyosmum cuatrecazanum Occhioni against various clinically relevant bacterial and fungal strains. The essential oil was extracted by hydrodistillation, yielding a 0.26% extract. Its components were characterized by gas chromatography coupled with mass spectrometry (GC-MS). The results demonstrate that the essential oil exhibits significant antibacterial activity, comparable to commercial antibiotics. Hedyosmum cuatrecazanum oil showed the highest antibacterial activity against S. aureus and antifungal ac-tivity, where C. albicans and C. tropicalis were the most susceptible. For the study, the effective relative val-ues of the chemical components of the essential oil were modeled using Fuzzy_Extension SuperHyper-Soft Sets theory, as well as their concentration. Specifically, we model indeterminacy with the use of sin-gle-valued triangular neutrosophic numbers. This is because the percentages of each chemical that makes up the essential oil vary in a certain range from one plant to another. This mathematical tool allows us to determine the percentages and concentrations in which the essential oils are most effective in treating bacteria and fungi.

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