Abstract
Multivariate curve resolutions (MCR) along with other chemometric techniques are proposed to improve the analysis of Iranian Elettaria cardamomum (E. cardamom) essential oil with gas chromatography-mass spectrometry (GC-MS). In addition, multivariate curve resolution-alternating least squares (MCR-ALS) is used to obtain pure elution and mass spectral profiles for the components present in each chromatographic segment as well as their relative concentrations. This strategy was also used to overcome the problems of baseline offset, asymmetric peaks, retention time shifts, and overlapped and embedded peaks occurring during GC-MS analysis. The analysis of GC-MS data revealed that 42 components exist in the E. cardamom essential oil. However, with the help of MCR and different chemometric methods, this number was extended to 73 components. The most important components of the Iranian E. cardamom are α-terpineol acetate (11.78 %), linalool (10.15 %), nerolidol (8.82 %), α-pinene (8.11 %), geranyl acetate (3.47 %),1,8-cineole (4.25 %), and γ-terpinene (3.88 %).
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Mohammad Asadollahi-Baboli declares that he has no conflict of interest. Ahmad Mani-Varnosfaderani declares that he has no conflict of interest.
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Asadollahi-Baboli, M., Mani-Varnosfaderani, A. Chemometrics-Assisted GC-MS Analysis of Volatile and Semi-Volatile Constituents of Elettaria cardamomum . Food Anal. Methods 7, 1745–1754 (2014). https://doi.org/10.1007/s12161-014-9815-9
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DOI: https://doi.org/10.1007/s12161-014-9815-9