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. 2023 Dec 12;23(1):448.
doi: 10.1186/s12906-023-04277-1.

Phytochemical profile and antimicrobial activity of essential oils from two Syzygium species against selected oral pathogens

Affiliations

Phytochemical profile and antimicrobial activity of essential oils from two Syzygium species against selected oral pathogens

Sahar S Salem et al. BMC Complement Med Ther. .

Abstract

Background: The genus Syzygium (Myrtaceae) comprises several essential oil-rich species that are utilized traditionally for treating tooth infections and toothache. The current study aimed to extract essential oils (EOs) from the leaves of Syzygium samarangense and Syzygium malaccense cultivated in Egypt for the first time and screen their antimicrobial potential against oral-related pathogens.

Methods: The intended EOs were extracted using hydrodistillation (HD) by boiling fresh leaves with distilled water; supercritical fluid (SF) by extracting the dried leaves using supercritical CO2 at 40 °C and 150 bar; and the headspace (HS) in which the fresh leaves were heated in a glass vial and the vaporized aroma were analyzed. The volatile constituents were analyzed using GC/MS and identified by comparing the experimental Kovats' retention indices with the literature. The antimicrobial activity was assessed against Staphylococcus aureus, Enterococcus faecalis, Escherichia coli, and Candida albicans using agar diffusion, microwell dilution, and biofilm formation assays. Statistical significance (p < 0.05) was determined by applying one-way ANOVA and Duncan's post hoc test.

Results: The yield of the extracted EOs differs between the applied methods, and the SF approach harvested the maximum (0.52-0.46%). The GC-MS analysis of SF EOs revealed a discrepancy between the two species. Since S. malaccense showed an abundance of hydrocarbons represented mainly by squalene (60.60%), S. samarangense was deemed to have oxygenated sesquiterpenes exemplified in globulol (52.09%). On the other side, the HD and HS EOs were sequentially comparable, while differed in the percentage of their majors. γ-terpinene (33.06%) pioneered the HS-derived aroma of S. malaccense, while S. samarangense was abundant with α-pinene (30.18%). Concurrently, the HD EOs of S. malaccense and S. samarangense were commonly denoted by caryophyllene oxide (8.19%-18.48%), p-cymene (16.02%- 19.50%), and γ-terpinene (12.20%-17.84). Ultimately, both species EOs exhibited broad-spectrum antimicrobial potential, although the HD EO was more potent than the SF EO. The HD EOs of both species potently inhibited the growth of E. coli (MIC 3.75 µL/mL) and suppressed C. albicans biofilm formation by 83.43 and 87.27%, respectively. The SF-EOs efficiently suppressed the biofilm formation of Gram-positive bacteria by 76.45%-82.95%.

Conclusion: EOs extracted from both species by different methods possessed a unique blend of volatile components with broad-spectrum antimicrobial activity. They were promoted as bioactive hits for controlling oral infections, however further investigations concerning their safety in clinical settings are needed.

Keywords: Antimicrobial; Biofilm; Essential oils; Extraction; Syzygium.

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Conflict of interest statement

The authors declare no competing interests.

Figures

Fig. 1
Fig. 1
Dose–response effect of (A) Syzygium malaccense hydrodistilled essential oil; (B) Syzygium malaccense supercritical fluid extract; (C) Syzygium samarangense hydrodistilled essential oil; (D) Syzygium samarangense supercritical fluid extract on viability (%) of selected oral reference strains in broth dilution assay. Error bars represent standard deviations from the means (n = 3). Means with different letters are significantly different (p < 0.0001) by Duncan’s post hoc test
Fig. 2
Fig. 2
Dose–response effect of (A) Syzygium malaccense hydrodistilled essential oil; (B) Syzygium malaccense supercritical fluid essential oil; (C) Syzygium samarangense hydrodistilled essential oil; (D) Syzygium samarangense supercritical fluid essential oil on selected oral reference strains in biofilm formation assay. Error bars represent standard deviations from the means (n = 3). Means with different letters are significantly different (p < 0.0001) by Duncan’s post hoc test

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