Abstract
Citronella oil derived from the leaves and stems of various Cymbopogon species (lemongrass) finds widespread application in the soap, candles, incense, perfumery, cosmetic, and flavouring industries worldwide. It is also used as insect repellent and non-toxic bio pesticide. The present study employs a QCM-based sensor to discriminate different samples of citronella essential oil depending on the content of citronellal present in each sample. Citronellal is the main component and has the highest concentration in citronella essential oils. Aside from citronellal, the oil also contains citronellol and geraniol. For the development of the sensing film Methyl Acrylate, Acrylic acid, Divinyl Benzene and Tung oil are used. The analytical performance of the sensor found reasonably good with sensitivity 0.075Hz/ppm. Principal component analysis (PCA) was used to distinguish between four varieties of citronella essential oil. The PCA plot revealed a satisfactory clustering separability of the four different samples.
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