This study aimed to discriminate 22 samples of commercial Iris rhizomes (orris root) by species andorigin (Iris germanica (Morocco), I. albicans (Morocco), I. pallida (Morocco), I. pallida (China), I. pallida(Italy)) by applying a strategy derived from those adopted in metabolomics. The specimens??? fingerprintsfrom conventional analysis methods (LC???UV and/or LC???MS) were unable to provide clear discrimination.A strategy combining UHPLC/TOF-HRMS, in positive and negative modes, with multivariate statisticalmethods was therefore applied. Exact mass/retention time (EMRT) pairs obtained by UHPLC???TOF/HRMSwere successfully submitted to statistical processing by principal component analysis (PCA), partial leastsquare discriminant analysis (PLS-DA), and then orthogonal partial least square-discriminant analysis(OPLS-DA), to extract the discriminating EMRT pairs through their trend views. 146 EMRT pairs wereselected on the basis of their trend views, because they significantly varied, and 104 of them were includedto discriminate between species and origins. 32 of them were tentatively identified as discriminatingmarkers (flavonoids, isoflavonoids, triterpenoids, benzophenone derivatives and related glycosides . . .)from the reference database created on the basis of Iris genus components reported in the literature:eight of them specific for I. albicans, four for I. germanica, five for I. pallida (Italy), five for I. pallida (China),and ten for I. pallida (Morocco). The reliability of this strategy was confirmed by identifying species andorigin of two unknown samples submitted to the same analytical procedure.

A metabolomic approach to quality determination and authentication of raw plant material in the fragrance field. Iris rhizomes: A case study

MASSON, JEROME NORBERT LAURENT;LIBERTO, Erica;BICCHI, Carlo;RUBIOLO, Patrizia
2014

Abstract

This study aimed to discriminate 22 samples of commercial Iris rhizomes (orris root) by species andorigin (Iris germanica (Morocco), I. albicans (Morocco), I. pallida (Morocco), I. pallida (China), I. pallida(Italy)) by applying a strategy derived from those adopted in metabolomics. The specimens??? fingerprintsfrom conventional analysis methods (LC???UV and/or LC???MS) were unable to provide clear discrimination.A strategy combining UHPLC/TOF-HRMS, in positive and negative modes, with multivariate statisticalmethods was therefore applied. Exact mass/retention time (EMRT) pairs obtained by UHPLC???TOF/HRMSwere successfully submitted to statistical processing by principal component analysis (PCA), partial leastsquare discriminant analysis (PLS-DA), and then orthogonal partial least square-discriminant analysis(OPLS-DA), to extract the discriminating EMRT pairs through their trend views. 146 EMRT pairs wereselected on the basis of their trend views, because they significantly varied, and 104 of them were includedto discriminate between species and origins. 32 of them were tentatively identified as discriminatingmarkers (flavonoids, isoflavonoids, triterpenoids, benzophenone derivatives and related glycosides . . .)from the reference database created on the basis of Iris genus components reported in the literature:eight of them specific for I. albicans, four for I. germanica, five for I. pallida (Italy), five for I. pallida (China),and ten for I. pallida (Morocco). The reliability of this strategy was confirmed by identifying species andorigin of two unknown samples submitted to the same analytical procedure.
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Jerome Masson;Erica Liberto;Hugues Brevard;Carlo Bicchi;Patrizia Rubiolo
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/2318/154425
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