Near infrared reflectance spectroscopy: classification and rapid prediction of patchouli oil content

Abstract

Patchouli is a fragrant oil that produces essential oils known as patchouli oil. The main content of patchouli oil is Patchouli alcohol (PA), generally to determine the PA content of patchouli oil uses chemicals and the waste is not good for the environment. Therefore, there is another alternative method to address these problem, one of the alternative technologies to determine the content of patchouli oil is to use Near Infrared Spectroscopy (NIRS). NIRS can be used to analyze samples rapidly, easily, non-destructive and does not require any chemicals. In this study, the PA content and patchouli oil refractive index were obtained through the acquisition of NIRS spectrum in patchouli oil samples from several different regions with different fractions. Patchouli oil classification is carried out by the Principal Component Analysis (PCA) method. The content of PA content and refractive index is carried out by verifying the factual results of laboratory tests using the Principal Component Regression (PCR) method. Patchouli alcohol spectrum data is found in the wavelength range of 1350-1450 nm and 1950-2100 nm. Predicted results with PCR for PA content and refractive index show values R2 = 0.95 and 0.99 respectively with RPD values of 5.07 and 0.0011.

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