Microorganisms, cultivation environment, and conditions. A laboratory intervention experiment was conducted at the Faculty of Chemical Engineering, Ho Chi Minh City University of Technology (HCMUT), Vietnam National University-Ho Chi Minh City (VNU-HCMC). The microbial strain under investigation was the Candida albicans strain (ATCC 24433) purchased from KwikStik Co., Ltd, Vietnam. They were activated and cultured in a self-prepared liquid Hansen medium (comprising 50 g H2SO4, 3 g KH2PO4, 3 g MgSO4.7H2O, 10 g peptone, 20 g agar, 1000 mL distilled water, adjusted to pH 6), at room temperature, aerobic conditions, and shaken at 150 rpm for 24 hours.
Recent studies support the cultivation conditions used in this experiment. For example, the research on the Formulation And Evaluation Of Antifungal Dermal Stick confirms the effective cultivation of Candida albicans ATCC 24433 under similar conditions [12]. Another study, Detection of Secondary Metabolites, Proximate Composition (2024), provides insights into the growth parameters of Candida albicans ATCC 24433 and highlights the importance of precise pH and temperature control [13]. Additionally, the Bio-inspired crosslinking and matrix-drug interactions study underscores the necessity of maintaining consistent aerobic conditions and shaking for optimal microbial growth [14].
These references validate the cultivation environment and conditions used in this study, ensuring the reliability and reproducibility of the experimental results.
Bioactive compounds. This study utilized pure tea tree oil (Melaleuca alternifolia) obtained from Thuy Moc Viet Co., Ltd, Vietnam. The chemical components of the tea tree oil were analyzed by the Institute of Materials Science - Vietnam Academy of Science and Technology. Additionally, the antifungal agent Amphotericin B (AMB) was purchased from Maxxcare VP Co., Ltd, India, and used as a positive control in antifungal activity assays and biofilm inhibition studies against Candida albicans.
Due to the hydrophobic nature of tea tree oil (TTO), it was emulsified with sterile distilled water containing 0.5% Tween 80 before being mixed into the culture medium, following the method described by Van Nguyen, H., et al (2017) [15]. However, some adjustments were made to ensure compatibility with experimental conditions, with final concentrations achieved after dilution being 0.1 µL, 1 µL, 2 µL, 5 µL, 10 µL/mL. The entire experiment was conducted at these five concentration thresholds. The AMB antifungal agent used as a positive control was also dissolved in sterile distilled water containing 0.5% Tween 80 and volumes were calculated to achieve final concentrations of 0.1 µg, 1 µg, 2 µg, 5 µg, 10 µg/mL. The overall experimental sequence is illustrated in Fig. 1A.
Recent studies support the use of tea tree oil and Amphotericin B in antifungal assays. For instance, a comparative evaluation of antifungal action demonstrated that tea tree oil exhibits significant antifungal activity against Candida albicans [16]. Additionally, research on the Antifungal activity of 2-chloro-N-phenylacetamide (2024) supports the methodology of emulsifying tea tree oil with Tween 80 for enhanced efficacy [17]. Another study, Eye Bird View on Natural Plants in the Management of Mucormycosis, highlights the antifungal properties of tea tree oil against various fungal species, including Candida albicans [18].
These references provide a solid foundation for the use of tea tree oil and Amphotericin B in antifungal assays against Candida albicans and support the methodologies employed in this study.
Determining the Minimum Inhibitory Concentration (MIC) and Minimum Fungicidal Concentration (MFC). The procedure, illustrated in Fig. 4B, involved a liquid culture dilution method based on Hsu et al.'s descriptions (2013) [19] with modifications. Initially, Candida albicans cell suspension was cultured in Hansen medium, incubated for 24 hours at room temperature with shaking at 150 rpm. After centrifugation at 4000 rpm for 20 minutes and a single PBS wash, the fungal pellet was resuspended in Mueller-Hinton medium. Cell density was quantified at OD530 nm, adjusted to achieve a value within the range of 0.119 to 0.14 [corresponding to approximately 1×106 − 6.2×106 CFU/mL] [20, 21].
Following that, 4 mL of Mueller-Hinton medium containing fungal cell suspension was added to each test tube. Then, 1 mL of TTO, emulsified with sterile distilled water containing 0.5% Tween 80, was added to achieve final concentrations of 0.1 µL, 1 µL, 2 µL, 5 µL, 10 µL/mL in the medium. The positive control (AMB) consisted of 4 mL of Mueller-Hinton medium containing fungal cell suspension and 1 mL of AMB mixed in sterile distilled water containing 0.5% Tween 80, resulting in final concentrations of 0.1 µg, 1 µg, 2 µg, 5 µg, 10 µg/mL. The negative control contained 4 mL of Mueller-Hinton medium with fungal cell suspension and 1 mL of sterile distilled water containing 0.5% Tween 80. Blank samples were prepared similarly but without fungal cell suspension. The tubes were then incubated at room temperature for 24 hours. After incubation, the optical density was measured at a wavelength of 610 nm using a UV-VIS spectrophotometer to determine the Minimum Inhibitory Concentration (MIC) of TTO in inhibiting fungal growth.
From the tubes identified as MICs, 50 µL of these samples were spread onto the surface of Hansen medium and incubated at room temperature for 48 hours to determine the Minimum Fungicidal Concentration (MFC) of TTO. The MIC and MFC experiments were conducted independently three times, and the averages were calculated.
MIC is defined as the lowest concentration of TTO or antifungal agent that inhibits the fungal growth, as indicated by a reduction in optical density compared to the control sample [22, 23]. MIC80 is the lowest concentration of tea tree oil or antifungal agent causing an 80% reduction in optical density compared to the control sample [22, 23]. MFC is the lowest concentration of TTO or antifungal agent demonstrating no growth of fungal colonies on the agar surface after 48 hours of incubation [24, 25].
Recent studies support these methods and definitions. For instance, the research on Antifungal activity of 2-chloro-N-phenylacetamide (2024) discusses the determination of MIC and MFC in Candida albicans [17]. Another study, Multifunctional polymeric guanidine and hydantoin (2024), also focuses on MIC and MFC of various polymers against Candida albicans [26]. Additionally, the paper Synthesis of Bioactive Nickel Nanoparticles Using Bacterial Strains (2024) provides a detailed methodology for MIC and MFC evaluation [27].
These references provide a solid foundation for understanding the determination of MIC and MFC in Candida albicans and support the methodologies employed in our investigation.
Investigation of the biofilm-forming ability of Candida albicans. The experimental procedure is illustrated in Fig. 1C. Candida albicans strains were cultured in Hansen medium with additional glucose concentrations of 2.5%, 5%, and 10% (w/v) in 2 mL round-bottom Eppendorf tubes.
Materials preparation followed Pereira et al. (2015) [28] with minor adjustments. Candida albicans was cultured on agar for 48 hours, then inoculated into Hansen liquid medium at room temperature for 24 hours with shaking at 150 rpm. After centrifugation at 4000 rpm for 20 minutes and two PBS washes, the pellet was resuspended in Hansen medium with glucose concentrations of 2.5%, 5%, and 10% (w/v). The cell density was adjusted to approximately 107 CFU/mL [OD530 nm values between 0.39 and 0.43, equivalent to 1.26×107 − 6.49×107 CFU/mL] [21]. Subsequently, 1 mL of the standard inoculum [yeast cell suspension in Hansen medium with 2.5%, 5%, and 10% glucose (w/v)] was aspirated into 2 mL Eppendorf tubes and incubated undisturbed at room temperature for 24 hours.
Biofilm formation capability was assessed by quantifying total biomass using the Crystal Violet (CV) staining method, adapted from Silva et al. (2009) [29]. After a 24-hour incubation, wells were washed with sterile PBS (pH 7.2) three times to remove residual medium and non-adherent fungal cells. Methanol (1 mL) was added and removed after 15 minutes. Eppendorf tubes were air-dried, followed by the addition of 1 mL CV 1% (v/v) for 5 minutes. After washing with PBS, 33% (v/v) acetic acid (1 mL) was added, and absorbance was read at 570 nm using a UV-VIS spectrophotometer. The experiment was conducted in triplicate, with three parallel samples for each repetition.
Recent studies have supported these methods and findings. For instance, the research by Biofilm Formation and Antifungal Susceptibility Profile of Candida albicans (2024) provides a comprehensive analysis of biofilm formation and antifungal susceptibility, emphasizing the importance of glucose concentrations in biofilm development [30]. Additionally, an integrated transcriptomic and metabolomic approach highlights the complex biofilm-forming ability of Candida albicans and its metabolic interactions [31]. Furthermore, research on Candida albicans biofilm heterogeneity underscores that variations in biofilm formation do not significantly impact denture biofilm development [32].
These studies provide a solid foundation for understanding the biofilm-forming ability of Candida albicans and support the methodologies employed in our investigation.
Biofilm-forming ability, assessed by total biomass quantification, followed Alves et al.'s method (2023) [33]:
ODc = ODnc + 3\(\:\times\:\)SD
Where:
ODc: The cut-off optical density
ODnc: The mean OD of the negative control
SD: The standard deviations of OD values of negative control samples (ODs)
Positive samples (ODs > ODc) were considered biofilm producers, categorized as:
ODs ≤ ODc: no biofilm producer
ODc < ODs ≤ 2\(\:\times\:\)ODc: week biofilm producer
2\(\:\times\:\)ODc < ODs ≤ 4\(\:\times\:\)ODc: moderate biofilm producer
4\(\:\times\:\)ODc < ODs: strong biofilm producer
Determining the Minimum Biofilm Inhibitory Concentration (MBIC) and Minimum Biofilm Eradication Concentration (MBEC). The experimental sequence is depicted in Fig. 1D and Fig. 1E. The cell density in the Candida albicans yeast suspension for MBIC and MBEC determination should be around 107 CFU/mL, [OD530 nm values between 0.39 and 0.43, approximately 1.26×107 − 6.49×107 CFU/mL] [34] and must be re-suspended in Hansen medium (the Hansen medium composition was selected from the Candida albicans biofilm formation capability assessment experiment).
MBIC and MBEC are defined as the lowest concentration of essential oil that inhibits over 50% of biofilm formation and the lowest concentration of essential oil that eradicates over 50% of pre-formed biofilm, respectively [35].
MBIC and MBEC were determined following Purwasena et al.'s method (2020) [35], with adjustments. Candida albicans yeast cell suspension (900 µL) in 2 mL Eppendorf tubes was prepared. Different concentrations of essential oil (0.1 µL, 1 µL, 2 µL, 5 µL, 10 µL/mL) were added in 100 µL increments. Positive controls (using AMB) were also prepared at concentrations of 0.1 µg, 1 µg, 2 µg, 5 µg, 10 µg/mL. The tubes were statically incubated for 24 hours at room temperature. After incubation, the medium was removed, and tubes were washed with sterile PBS buffer (pH 7.2) three times to eliminate free cells. Biofilms were stained with 0.1% crystal violet for 30 minutes. After staining, crystal violet was removed, and tubes were rinsed with PBS until runoff was colorless. Finally, biofilms were dissolved in 95% ethanol for 15 minutes, and absorbance at 595 nm was measured using a UV-VIS spectrophotometer to determine MBIC and MBEC. The untreated sample contained only the growth medium, sterile distilled water with 0.5% Tween 80, and yeast cell suspension. The negative control contained only the growth medium. The experiment was repeated four times, and average values were obtained.
Recent studies have supported these methods and findings. For instance, the research by Poly-Gamma-Glutamic Acid Nanopolymer Effect against Bacterial Biofilms (2024) explores the MBIC and MBEC of various compounds, highlighting the effectiveness of essential oils against biofilm formation and eradication [36]. Additionally, studies on Antibacterial and Antibiofilm Potential of Bacterial Cellulose emphasize the importance of biofilm inhibitory and eradication concentrations in microbial control [37]. Furthermore, the research Shifting from Ammonium to Phosphonium Salts provides insights into the effectiveness of different chemical compounds on biofilm formation and eradication [38].
These studies provide a solid foundation for understanding the determination of MBIC and MBEC and support the methodologies employed in our investigation.
Statistical analysis. We used Dixon's Q test to identify and remove outliers when analyzing microbial growth or biofilm assay data. For each concentration tested in the assays mentioned above, we calculated the arithmetic mean and standard deviation (SD), which were presented as a relative percentage compared to the control sample (set at 100%). Dixon's Q test was utilized to identify outliers in the data obtained from the biofilm assays [39]. We performed a one-way analysis of variance (ANOVA) with a significance level of p < 0.05 to assess the statistical significance of the disparities observed between the control and adjuvant effects [40]. Statistical analysis was conducted using standard protocols for microbial diversity and biofilm formation studies [41]. The approval of an ethics committee is not necessary for this study.
Recent studies have supported the use of Dixon's Q test and ANOVA for analyzing microbial and biofilm assay data. For example, research on non-thermal plasma and UV radiation's impact on biofilms highlights the effectiveness of Dixon's Q test in identifying outliers [39]. Additionally, a comprehensive analysis of antibiotic effects on microbial development and gene expression underscores the importance of ANOVA in determining statistical significance [40]. Moreover, a study on microbial diversity and biofilm formation provides insights into statistical methodologies employed in biofilm research [41].
These references validate the statistical methods used in our analysis and support the robustness of our experimental results.