PREDICTION OF CHEMICAL COMPONENTS THAT AFFECT THE MOSQUITO-REPELLENT ABILITY OF ESSENTIAL OILS USING MULTIPLE LINEAR REGRESSION TECHNIQUES

  • Nguyen Thi Minh Nguyet, Nguyen Thi Minh Xuan
Keywords: Mosquito repellent essential oil; Multiple linear regression; Piper Betle essential oil; Chavibetol acetate; Aedes aegypti

Abstract

Personal mosquito repellent products from essential oils have been interested in recent years. However, the composition of essential oils varies according to the place of cultivation, the season, and the technology of extracting and recovering. Understanding the key influencing compositions in essential oils can help producers be more proactive in creating formulations. This study analyzed published data on the composition and duration of mosquito protection from 14 essential oils using multiple linear regression. The results show that chavibetol acetate is the most important ingredient that affects the complete protection duration of the essential oil. The experiment also found that the duration of complete protection from Aedes aegypti provided by betel leaf (Piper Betle) essential oil in rich of chavibetol is nearly 2 hours on average at a concentration of 10%, which is longer than that of eugenol-rich oils (about 55 mins). This research lays the groundwork for identifying various essential oils that are capable of repelling mosquitoes, developing effective mosquito repellent products, and assessing product quality.

điểm /   đánh giá
Published
2025-07-29
Section
NATURAL SCIENCE – ENGINEERING – TECHNOLOGY