PENENTUAN KONSENTRASI HAMBAT MINIMUM VIRGIN COCONUT OIL UNTUK PENGGUNAANNYA DALAM KOSMETIK

• Main Author: Chairunnisa, Nadyra
• Format: Final Project
• Language: Indonesia
• Online Access: https://digilib.itb.ac.id/gdl/view/42749
• Institution: Institut Teknologi Bandung

Skin is the first line of defense against pathogens and also a place for growth in the diversity of microbial participation. The majority of these microbes are both permanent and temporary commensals. However, microbial dysbiosis can make commensal bacteria a pathogen. Bacteria that can be pathogenic and commonly cause diseases of the skin are Staphylococcus aureus and Pseudomonas aeruginosa.Healing of diseases of the skin using antibiotics that are approved, but can cause new problems, namely resistance. One of the natural ingredients that can be an alternative solution to overcome the growth of microbes is Virgin Coconut Oil (VCO). VCO is an oil from fresh coconut meat that contains 90% saturated fatty acids. How can VCO be effective if in its decomposed form in lauric acid and monolaurin which can fight bacteria on the bacterial membrane, but also by inhibiting enzyme production and transferring nutrients. Aside from being an antimicrobial, VCO is also useful as an antioxidant, cleansing the skin, preventing dryness and smoothing the skin. Therefore, VCO is suitable for use as cosmetic preparations such as creams, ointments and so on. In this study, the determination of the Minimum Inhibitory Concentration (MIC) value of Virgin Coconut Oil (VCO) against bacteria that are commonly found in the skin, namely Staphylococcus aureus and Pseudomonas aeruginosa, with variations in the concentration used is 6,25% v/v; 12,5% v/v; 25% v/v; 50% v/v and 100% v/v dissolved in Dimethyl Sulfoxide (DMSO) solvent. The optimum age of the inoculum is determined in advance by making a standard curve and growth curve, so that the optimum age for P. aeruginosa (8 hours) and S. aureus (6 hours) is obtained. The MIC determination was carried out by the Kirby Bauer method with cell density variations of 105 cfu/mL, 106 cfu/mL, 107 cfu/mL and 108 cfu/mL. In each of these cell densities, 6 mm discs were implanted and drops of 15 ?l from each variation of the VCO concentration. Lipase test qualitatively uses fat so that it is also performed on each variation in the number of cells. The negative control used is DMSO, and positive control is in the form of antibiotics ampicillin and amoxicillin at concentrations of 1 mg/ mL, 5 mg /mL and 10 mg/mL. Determination of the MIC is done by measuring the presence of clear zones that form around the discs. Statistical tests were performed using the One-Way ANOVA method with a 95% confidence level to determine the significance of each variation of the VCO concentration used. Inhibition zone measurement results according to Asian Pharmatical and Clinical Research standards show that VCO has antimicrobial properties with a minimum inhibitory concentration of 50% v/v (VCO in DMSO) on the number of bacterial cells 107 cfu/ml and 108 cfu/ml. The average results of measurement of inhibition zone diameter at each VCO concentration (6,25% v/v; 12,5% v/v '25% v/v, 50% v/v and 100% v/v) for P. aeruginosa 107 cfu/mL and 108 cfu/mL, respectively (6,00 ± 0,00; 6,00 ± 0,00; 6,33 ± 0,57; 8,66 ± 0,57; 12,33 ± 0,57) mm and (6,00 ± 0,00; 6,00 ± 0.00; 6,67 ± 0,57; 13,33 ± 0,57; 15,67 ± 0,57) mm, while for S. aureus 107 cfu / mL and 108 cfu / mL, respectively (6,00 ± 0,00; 6,00 ± 0,00; 6,33 ± 0,00; 11,33 ± 0,57; 14,33 ± 0,57) mm and (6,00 ± 0,00; 6,00 ± 0,00; 6,33 ± 0,57; 13,66 ± 0,57; 16,67 ± 0,57) mm. Lipase test qualitatively shows the resulting lipase can describe the VCO produces inhibitory regions in the number of cells 107 cfu/mL and 108 cfu/mL for P.aeruginosa and S. aureus. Inhibition zones formed at 50% v/v MIC with 108 cfu/mL cell counts with ampicillin antibiotic concentrations of 5 mg/mL and amoxicillin 1 mg/mL. Based on the One-Way ANOVA test the variation of VCO concentration is 6.25% v/v; 12.5% v/v; 25% v/v; 50% v/v and 100% v/v had significant differences in values (p <0.05).