2019
DOI: 10.1016/j.archoralbio.2018.11.029
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Development and validation of mathematical models for testing antifungal activity of different essential oils against Candida species

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Cited by 8 publications
(3 citation statements)
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“…In this investigation, LAEO exhibited considerable antifungal effects against C. albicans sputum isolates. Our results correlate with those of several previous studies in which MIC values for LAEO range between 0.5–2% [ 30 , 31 ]. However, LAEO MIC 50 and MIC 90 values were twice higher than the values obtained in the previous experiments.…”
Section: Discussionsupporting
confidence: 92%
“…In this investigation, LAEO exhibited considerable antifungal effects against C. albicans sputum isolates. Our results correlate with those of several previous studies in which MIC values for LAEO range between 0.5–2% [ 30 , 31 ]. However, LAEO MIC 50 and MIC 90 values were twice higher than the values obtained in the previous experiments.…”
Section: Discussionsupporting
confidence: 92%
“…With a concentration higher than that of this study, the use of the MTT assay has been reported to measure the antitumoral potential of citrus fruits such as C. maxima, C. lemon and C. reticulata against Dalton's lymphoma ascites cells [37]. It has also been used to measure the growth and viability of lung cancer cells using tangerine peel [38]; (Table 4), similar to that reported where the antifungal activity of the essential oil of C. paradisi was evaluated on C. albicans strains isolated from patients with subprosthetic stomatitis with an average inhibition of 12.6 mm [14], likewise, studies have evaluated the minimum fungicidal concentration of C. paradisi against C. albicans isolated from patients with prosthetic stomatitis, reporting a broad spectrum of fungicidal activity at concentrations of 0.1 -16 μg/ml [39], however, these results coincide with the studies where it is demonstrated that the essential oil presents an inhibitory effect against clinical isolates of Candida.…”
Section: Resultssupporting
confidence: 56%
“…NNs with genetic algorithm models and surface response models were found operative and reliable in optimizing the minimum effective dosage of tested EOs for Candida spp. Such models reduce the number of experiments and shorten the time needed for determining the optimal antifungal doses of EOs (Perić et al, 2019). RF and gradient boosting machine (GBM) predictive models were applied to describe and predict prevalence of Listeria spp.…”
Section: Discussionmentioning
confidence: 99%