Prediction of chemical content in patchouli oil (Pogostemon cablin Benth) by portable NIR spectroscopy

The objective of this study was to develop the calibration model for predicting the patchouli alcohol in patchouli oil by portable Near Infrared (NIR) spectroscopy. Patchouli oil samples were obtained from different origin in Indonesia. Portable NIR spectrometer with wavelength of 760-1050nm was use...

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Bibliographic Details
Published in:IOP conference series. Materials Science and Engineering 2019-06, Vol.557 (1), p.12087
Main Authors: Windawati, Vrita, Purwanto, Y A, Budiastra, I Wayan, Widodo, Slamet, Kuroki, Shinichiro
Format: Article
Language:English
Subjects:
Calibration
Infrared spectroscopy
Near infrared radiation
Portability
Regression models
Spectrum analysis
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Summary:The objective of this study was to develop the calibration model for predicting the patchouli alcohol in patchouli oil by portable Near Infrared (NIR) spectroscopy. Patchouli oil samples were obtained from different origin in Indonesia. Portable NIR spectrometer with wavelength of 760-1050nm was used to collect the spectra of the patchouli oils. The calibration model was developed by partial least square regression (PLS). The best model for predicting patchouli alcohol content is y = 0.7209x + 8.2804 with r = 0.86, SEC = 2.04%, SEP = 2.16%, CV = 7.6, RPD = 1.8.
ISSN:1757-8981
1757-899X
DOI:10.1088/1757-899X/557/1/012087