Robust fraudulence detection of patchouli oil plant using near infrared spectroscopy

Abstract

This study aimed to apply the near infrared reflectance spectroscopy (NIRS) for a robust and fast detection method for fraudulence in patchouli oil plant. Pure patchouli oil sample and adulterated patchouli oil with ethanol were used as samples in this work. Spectral data in form of transmittance were acquired in wavenumbers range from 400 to 4000 cm-1. A total of 60 patchouli oil were adulterated and mixed using six difference concentration of ethanol while 10 remaining patchouli oil samples were pure without mixed with other substances. Classification models of pure and adulterated patchouli oil samples were established using principal component analysis followed by cross validation approach. The results showed that the models can distinguish between pure and mixed patchouli oil with 100% accuracy with two principal components (PCs) of the PCA. Based on obtained results, it may conclude that NIRS approach can be used to determine and classify patchouli oil samples based on their purity and fraudulence with ethanol