Fourier transform infrared spectroscopy combined with chemometrics for discrimination of Curcuma longa, Curcuma xanthorrhiza and Zingiber cassumunar

• Published in: Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy Molecular and biomolecular spectroscopy, 2015-02, Vol.137, p.1244-1249
• Main Authors: Rohaeti, Eti, Rafi, Mohamad, Syafitri, Utami Dyah, Heryanto, Rudi
• Format: Article
• Language: English
• Subjects: C. longa; C. xanthorrhiza; Chemometrics; Discrimination; FTIR; Z. cassumunar
• ISSN: 1386-1425
• DOI: 10.1016/j.saa.2014.08.139

[Display omitted] •Discrimination of C. longa, C. xanthorrhiza and Z. cassumunar by FTIR.•Principal component analysis and canonical variate analysis are used for discrimination.•Canonical variate analysis gave clearer discrimination between the three species. Turmeric (Curcuma longa), java turmeric (Curcuma xanthorrhiza) and cassumunar ginger (Zingiber cassumunar) are widely used in traditional Indonesian medicines (jamu). They have similar color for their rhizome and possess some similar uses, so it is possible to substitute one for the other. The identification and discrimination of these closely-related plants is a crucial task to ensure the quality of the raw materials. Therefore, an analytical method which is rapid, simple and accurate for discriminating these species using Fourier transform infrared spectroscopy (FTIR) combined with some chemometrics methods was developed. FTIR spectra were acquired in the mid-IR region (4000–400cm−1). Standard normal variate, first and second order derivative spectra were compared for the spectral data. Principal component analysis (PCA) and canonical variate analysis (CVA) were used for the classification of the three species. Samples could be discriminated by visual analysis of the FTIR spectra by using their marker bands. Discrimination of the three species was also possible through the combination of the pre-processed FTIR spectra with PCA and CVA, in which CVA gave clearer discrimination. Subsequently, the developed method could be used for the identification and discrimination of the three closely-related plant species.