Khudzaifi, M. and Retno, S. S. and Rohman, Abdul F. (2020) The employment of FTIR spectroscopy and chemometrics for authentication of essential oil of curcuma mangga from candle nut oil. Food Research, 4 (2). 515 - 521. ISSN 25502166
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The adulteration of high price oil such as essential oil of Curcuma mangga Val. (EOCM) with lower price oil is common to get economical profit. This study was to investigate the authentication of EOCM toward candlenut oil (CNO) using FTIR spectroscopy combined with multivariate calibration and discriminant analysis. The selection of CNO as adulterant oil model was due to its close similarity to EOCM in terms of FTIR spectra. Besides, EOCM has similar color with CNO, therefore, CNO is potential adulterant toward EOCM. Two multivariate calibrations of partial least square regression (PLSR) and principle component regression (PCR) along with FTIR spectra (normal versus derivatization) were optimized to get prediction models for quantification. The results showed that the combination of PLSR and normal FTIR spectra at optimized wavenumbers of 1614-1068 cm<sup>-1</sup> was capable of predicting the levels of EOCM adulterated with CNO. Discriminant analysis was also success to differentiate the classification of EOCM and EOCM adulterated with CNO with accuracy levels of 100. Using FTIR spectroscopy for oil authentication is rapid, simple without any chemicals, solvents, and sample preparation so that this technique is considered as a green analytical method. © 2020 Elsevier B.V., All rights reserved.
| Item Type: | Article |
|---|---|
| Additional Information: | Cited by: 15; All Open Access; Gold Open Access |
| Uncontrolled Keywords: | candlenut oil; castor oil; citrus oil; coconut oil; corn oil; essential oil; extra virgin olive oil; garlic oil; olive oil; palm oil; rose oil; sesame seed oil; soybean oil; sunflower oil; unclassified drug; vegetable oil; ylang ylang oil; Article; calibration; chemometrics; Curcuma; Curcuma mangga; data analysis software; discriminant analysis; Fourier transform infrared spectroscopy; least square analysis; nonhuman; principal component analysis; quantitative analysis; rhizome; validation process |
| Subjects: | R Medicine > RS Pharmacy and materia medica |
| Divisions: | Faculty of Pharmacy |
| Depositing User: | Sri JUNANDI |
| Date Deposited: | 12 Nov 2025 02:28 |
| Last Modified: | 12 Nov 2025 02:28 |
| URI: | https://ir.lib.ugm.ac.id/id/eprint/24121 |
