Background: Betel leaf is an essential oil (EO)-rich plant from the Piperaceace family used as traditional herbal medicine. The minimum EO yield by the conventional extraction method was increased by adopting cold plasma (CP) as pretreatment. Thus, the present study involved optimizing the CP conditions and analyzing the EO's qualities.
Results: Optimization of the CP parameters like electric voltage (A = 25-35 kV), treatment duration (B = 4-12 min) and extraction time (C = 60-180 min) was done for maximum EO yield (R1) and total phenolic content (TPC; R2) using response surface methodology with Box-Behnken design. Maximum EO yield (20.76 ± 1.15 g kg-1 ) and TPC (29.43 ± 1.7 mg GAE mL-1 ) were derived under optimal conditions: A = 34 kV, B = 10 min and C = 110 min. A quadratic polynomial model developed by multiple regression analysis revealed that the three independent variables significantly influenced the oil yield and TPC with R2 values of 0.9909 and 0.9962, respectively. The CP treatment significantly altered the betel leaf powder morphology and increased the EO's radical scavenging capacity and bioactive compounds like chavibetol, chavibetol acetate, hydroxychavicol and γ-muurolene. Conversely, the functional groups, refractive index and specific gravity were unaffected by CP treatment.
Conclusion: The EO yield and its qualities were improved by applying CP under optimal conditions which can be helpful for scaled-up industrial processes with further studies. The identified bioactive compounds are valuable in the food and pharmaceutical industries. © 2023 Society of Chemical Industry.
Keywords: GCMS; betel leaf powder; cold plasma; essential oil; functional group; morphology.
© 2023 Society of Chemical Industry.