The hydrosols of Azadirachta indica, Cassia alata, Curcuma longa, and Fortunella japonica were obtained from the process of steam distillation. The glassware equipments used in order to set up the steam distillation apparatus were obtained from the University of Guam. It is very important to place at least seven boiling chips in the distillation pot, being the round bottom flask (indicated with “A”), that holds the prepared medicinal plants; failing to do this step may cause an explosion. All of the glassware of the steam distillation apparatus was clamped together. The first half of the steam distillation apparatus was first wrapped with cotton and then aluminum foil to create an insulation coat (indicated with “B”) that ensures that the maximum heat is kept within the steam distillation apparatus. After having set up the steam distillation apparatus, the four medicinal plants were prepared for efficient distillation. The leaves of the Azadirachta indica and Cassia alata were ripped into smaller pieces in order for the leaves to fit into the distillation pot. The Curcuma longa was chopped into smaller pieces to fit into the distillation pot. The rinds of the Fortunella japonica were blended to break into small pieces to put into the distillation pot.
To begin the steam distillation, clamp the distillation pot with the experimental plant and start with 100 ml of distilled water in the top most tube (indicated with “C”) and add more distilled water when needed to replenish the distillation pot. The heat was produced by the Variable Autotransformer (indicated with “D”) on a setting of 40, which produced a steady temperature of 100°C. Each plant was distilled for two hours. The yield of steam distillation is cooled in the condenser tube (indicated with “E”), as the two mini tubes attached to the condenser tube are connected to a running faucet of cold water. Then the yield is captured in the graduated cylinder (indicated with “F”). Multiple graduated cylinders or beakers may be needed to capture all the yield from the two hour steam distillation period. The top 5 ml of the yield was separated as this portion may contain microscopic droplets of essential oils. The remaining aqueous product is the hydrosol component.
Minimum Inhibitory Concentration Test (MIC)
To prepare for the MIC, 48 test tubes were divided into groups of four and were labelled according to their essential oil type, essential oil concentration percentage, and trial letter. In another test tube, half the tube was filled with the trypticase soy broth (TSB) growth medium. Using the S. aureus grown in the University of Guam microbiology laboratory, a single colony was mixed in this test tube with the growth medium until the colony was hardly visible. Then in the 48 experimental test tubes, the respective capacity of the TSB with S. aureus mixture was pipetted first and then 0.5 ml of hydrosol was pipetted second. Below are the ratios of hydrosol capacities to TSB with S. aureus mixture capacities to create a concentration from 10% to 40%.
- 10%: 0.5 ml of hydrosol: 5 ml of TSB with S. aureus mixture
- 20%: 0.5 ml of hydrosol: 2.5 ml of TSB with S. aureus mixture
- 30%: 0.5 ml of hydrosol: 1.7 ml of TSB with S. aureus mixture
- 40%: 0.5 ml of hydrosol: 1.25 ml of TSB with S. aureus mixture

The bacterial densities of each concentration were calculated by averaging the bacterial densities yielded from three trials. The average bacterial densities of each concentration were then plotted on a line graph to model the calibration curve of absorbance versus concentration. The values of the standard error of the mean (SEM) were used to calculate the error bars.
(10% concentration) The bacterial density of the Cassia alata hydrosol was 0.566 AU with a SEM value of 0.00445.
(20% concentration) The bacterial density of the Cassia alata hydrosol was 0.660 AU with a SEM value of 0.0417.
(30% concentration) The bacterial density of the Cassia alata hydrosol was 1.50 AU with a SEM value of 0.484.
(40% concentration) The bacterial density of the Cassia alata hydrosol was 2.09AU with a SEM value of 0.548.
Thus, the Cassia alata hydrosol of 10% had the lowest bacterial density of 0.566 AU. But the Cassia alata hydrosol of 20% had the smallest SEM value of 0.0417, meaning the average bacterial density at 20% was the most accurate reflection of the average bacterial density within the parameters of the error.
The bacterial densities of each concentration were calculated by averaging the bacterial densities yielded from three trials. The average bacterial densities of each concentration were then plotted on a line graph to model the calibration curve of absorbance versus concentration. The values of the standard error of the mean (SEM) were used to calculate the error bars.
(10% concentration) The bacterial density of the Curcuma longa hydrosol was 0.590 AU with a SEM value of 0.1.
(20% concentration) The bacterial density of the Curcuma longa hydrosol was 2.27 AU with a SEM value of 0.392.
(30% concentration) The bacterial density of the Curcuma longa hydrosol was 1.45 AU with a SEM value of 0.0385.
(40% concentration) The bacterial density of the Curcuma longa hydrosol was 2.74 AU with a SEM value of 0.0746.
Thus, the Curcuma longa hydrosol of 10% had the lowest bacterial density of 0.590 AU.
But the Curcuma longa hydrosol of 30% had the smallest SEM value of 0.0385, meaning the average bacterial density at 30% was the most accurate reflection of the average bacterial density within the parameters of the error.
The bacterial densities of each concentration were calculated by averaging the bacterial densities yielded from three trials. The average bacterial densities of each concentration were then plotted on a line graph to model the calibration curve of absorbance versus concentration. The values of the standard error of the mean (SEM) were used to calculate the error bars.
(10% concentration) The bacterial density of the Fortunella japonica hydrosol was 0.490 AU with a SEM value of 0.0636.
(20% concentration) The bacterial density of the Fortunella japonica hydrosol was 1.03 AU with a SEM value of 0.038.
(30% concentration) The bacterial density of the Fortunella japonica hydrosol was 1.21 AU with a SEM value of 0.291.
(40% concentration) The bacterial density of the Fortunella japonica hydrosol was 0.951 AU with a SEM value of 0.259.
Thus, the Fortunella japonica hydrosol of 10% had the lowest bacterial density of 0.490 AU.
But the Fortunella japonica of 20% had the smallest SEM value of 0.038, meaning the average bacterial density at 20% was the most accurate reflection of the average bacterial density within the parameters of the error.
Discussion and Conclusion
This research was aimed to evaluate the efficacy of the four medicinal plants endemic to Guam (Azadirachta indica, Cassia alata, Curcuma longa, and Fortunella japonica) against S. aureus and to determine the medicinal plant with the greatest antimicrobial activity against S. aureus among the four plants. The results from the MIC and UV Spectrophotometry indicate that hydrosols of the medicinal plants endemic to Guam possess antimicrobial properties against S. aureus, by inhibiting the growth of S. aureus. From the qualitative data produced by the MIC, Cassia alata hydrosol had the lowest MIC of 20%, Azadirachta indica hydrosol had an MIC of 30%, and Fortunella japonica and Curcuma longa both had the highest MIC of 40%. However from the quantitative data produced by the UV Spectrophotometry, all of the tested hydrosols had the lowest bacterial densities at 10%. But with that being said, three out of four (Azadirachta indica, Cassia alata, and Fortunella japonica) of the tested hydrosols yielded the smallest SEM values at 20% concentration, which indicate that the average bacterial densities of the hydrosols at 20% yielded the most accurate and reliable results. Interestingly, the higher concentrations of hydrosols of Azadirachta indica, Cassia alata, Curcuma longa resulted with higher bacterial densities. Generally, higher concentrations result with more effective results, because the more concentrated the substance is the more potent the substance is. However, in this research, there seems to exist a range of effectiveness for the medicinal plants, being less than 10%, while the higher portion of the concentrations (30% and 40%) had more bacterial growth. Unfortunately this research does not include research on the efficacy of hydrosols against S. aureus with concentrations less than 10%. Oddly, the bacterial density chart of Curcuma longa hydrosol had a high bacterial density at 20% then low bacterial density at 30% and then high again at 40%. This may also give insight into the range of effectiveness of Curcuma longa or it may have been human error. Therefore, the results in its entirety add to the research of the antimicrobial efficacy of hydrosols; however, more research is needed to confirm the antimicrobial activity of hydrosols.
To conclude this research, the hypothesis was rejected, because both the results from the MIC and UV Spectrophotometry indicate that the hydrosol of Azadirachta indica was not the most effective in eliminating S. aureus compared to the other three medicinal plants endemic to Guam (Cassia alata, Curcuma longa, and Fortunella japonica).
The results indicate that hydrosols of medicinal plants endemic to Guam possess antimicrobial properties against S. aureus, as all of the tested hydrosols had the lowest bacterial densities at 10%. Furthermore, among the tested hydrosols, Cassia alata hydrosol yielded the greatest antimicrobial ability against S. aureus, as Cassia alata hydrosol resulted with both the lowest MIC concentration of 20% and the lowest bacterial density at 10%.
Further Research
If this experiment were to be conducted again, the changes that would be made would be to use a gas chromatograph and determine the constituents of the hydrosols that contribute the most to the antimicrobial activity. A gas chromatography can be performed on essential oils to determine the constituents of the essential oils that contribute the most to the antimicrobial activity and then analyze the functional groups in essential oils and hydrosols to determine whether there is a correlation between the two groups of plant extracts. Another improvement would be to develop a more conventional way to distill essential oils. Finally, more trials would have been better when analyzing results.
Acknowledgments
I would like to thank Karla Wang, the bio-laboratory technician, for giving me permission to use the biology laboratory at the University of Guam (UOG), providing the laboratory materials and S. aureus cultures, and supervising my laboratory work. I would also like to thank Dr. Vuki, Ms. Precy, and Dr. Suleman, the Chemistry professors at UOG, for giving me permission to use the chemistry laboratory at UOG and the chemistry equipment to set up the steam distillation apparatus. Additionally, I would thank Dr. Yang, the Food Science professor at UOG for letting me use his laboratory to perform the UV Spectrophotometry. Lastly, I would like to thank Ms. Gilmore and Ms. Afaisen, my chemistry and science teachers, respectively, for guiding and assisting me throughout my research, as well as, for reviewing my manuscript.
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