Optimized Antibacterial Effects in a Designed Mixture of Essential Oils of , and for Wide Range of Applications.

Nowadays, the combination of molecules influences their biological effects, and interesting outcomes can be obtained from different component interactions. Using a mixture design method, this research seeks to simulate the efficacy of essential oil combinations against various bacteria and forecast the ideal combination. The chemical compositions of , and essential oils were analyzed using CG/MS. Then, the combined antibacterial effects were evaluated by testing mixture design formulations using the microdilution bioassay. The main compounds detected for essential oil were myrtenyl acetate (33.67%), linalool (19.77%) and 1,8-cineole (10.65%). had piperitone as a chemotype, representing 85%. By contrast, the oil contained thymol (17.29%), γ-terpinene (18.31%) and p-cymene (36.15%). The antibacterial effect of the essential oils studied, and the optimum mixtures obtained were target strain-dependent. alone ensured the optimal inhibition against and , while a ternary mixture consisting of 17.1%, 39.6% and 43.1% of , and respectively, was associated with optimal inhibitory activity against . The outcome of this research supports the idea of the boosting effect of essential oil combinations toward better activities, giving better understanding of the usefulness of mixture designs for food, cosmetics, and pharmaceutical applications.