UV-Vis spectroscopy and chemometrics as a tool for identification and discrimination of four Curcuma species

Kautsar A., . and Jannah R., . and Septaningsih D. A., . and Rafi M., . and Heryanto R., . UV-Vis spectroscopy and chemometrics as a tool for identification and discrimination of four Curcuma species. pp. 643-648. ISSN 2231-7546

Curcuma species such as Curcuma longa (turmeric) C. xanthorrhiza (java turmeric) C. aeruginosa (black turmeric) and C. mangga (mango ginger) are widely used in jamu Indonesian traditional medicines as well as herbal drink and food supplement. The identification and discrimination of these closely-related plants is a crucial task to ensure the quality and to prevent adulteration of their raw materials. Therefore we developed a feasible and rapid method using UV-Vis spectra in combination with chemometrics for discrimination of the four species. Firstly we extract all of the samples using sonication method with methanol as the solvent for 40 minutes. The UV-Vis spectra of this four species were acquired in the interval of 200-800 nm and then standard normal variate was used for preprocessing the spectral data. Principal component analysis (PCA) and discriminant analysis (DA) were used for classification of the four species. It turned out that the discrimination of the four species was achieved through the combination of the pre-processed UV-Vis spectra with PCA and DA in which DA gave clearer classification according to the species because of 95.5 of the sample correctly classified into their groups by leave-one-out-cross-validation.

Full text available from: Official URL: http://www.ifrj.upm.edu.my/25%20(02)%202018/(27).p...

Abstract

Curcuma species such as Curcuma longa (turmeric) C. xanthorrhiza (java turmeric) C. aeruginosa (black turmeric) and C. mangga (mango ginger) are widely used in jamu Indonesian traditional medicines as well as herbal drink and food supplement. The identification and discrimination of these closely-related plants is a crucial task to ensure the quality and to prevent adulteration of their raw materials. Therefore we developed a feasible and rapid method using UV-Vis spectra in combination with chemometrics for discrimination of the four species. Firstly we extract all of the samples using sonication method with methanol as the solvent for 40 minutes. The UV-Vis spectra of this four species were acquired in the interval of 200-800 nm and then standard normal variate was used for preprocessing the spectral data. Principal component analysis (PCA) and discriminant analysis (DA) were used for classification of the four species. It turned out that the discrimination of the four species was achieved through the combination of the pre-processed UV-Vis spectra with PCA and DA in which DA gave clearer classification according to the species because of 95.5 of the sample correctly classified into their groups by leave-one-out-cross-validation.

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Item Type:	Article
AGROVOC Term:	Curcuma
AGROVOC Term:	Zingiberaceae
AGROVOC Term:	Turmeric
AGROVOC Term:	Curcuma xanthorrhiza
AGROVOC Term:	Mango ginger
AGROVOC Term:	Curcuma longa
AGROVOC Term:	Spectroscopy
AGROVOC Term:	Identification
AGROVOC Term:	Species
AGROVOC Term:	Medicinal plants
Depositing User:	Ms. Suzila Mohamad Kasim
Last Modified:	24 Apr 2025 06:29
URI:	http://webagris.upm.edu.my/id/eprint/24691

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