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Classification of Greek mentha pulegium L. (Pennyroyal) samples, according to geographical location by fourier transform infrared spectroscopy

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dc.contributor.author Kanakis, CD en
dc.contributor.author Petrakis, EA en
dc.contributor.author Kimbaris, AC en
dc.contributor.author Pappas, C en
dc.contributor.author Tarantilis, PA en
dc.contributor.author Polissiou, MG en
dc.date.accessioned 2014-06-06T06:51:41Z
dc.date.available 2014-06-06T06:51:41Z
dc.date.issued 2012 en
dc.identifier.issn 09580344 en
dc.identifier.uri http://dx.doi.org/10.1002/pca.1322 en
dc.identifier.uri http://62.217.125.90/xmlui/handle/123456789/5631
dc.subject canonical discriminant analysis en
dc.subject FT-IR spectroscopy en
dc.subject geographical classification en
dc.subject Mentha pulegium L. en
dc.subject pennyroyal en
dc.subject.other 5,5 dimethyl 1,3 cyclohexanedione en
dc.subject.other essential oil en
dc.subject.other isomethone en
dc.subject.other Mentha pulegium extract en
dc.subject.other piperitone en
dc.subject.other pulegone en
dc.subject.other unclassified drug en
dc.subject.other article en
dc.subject.other canonical analysis en
dc.subject.other discriminant analysis en
dc.subject.other drug isolation en
dc.subject.other Fourier transform mass spectrometry en
dc.subject.other geography en
dc.subject.other Greece en
dc.subject.other Mentha pulegium en
dc.subject.other nonhuman en
dc.subject.other Chromatography, Gas en
dc.subject.other Discriminant Analysis en
dc.subject.other Geography en
dc.subject.other Greece en
dc.subject.other Mentha pulegium en
dc.subject.other Menthol en
dc.subject.other Monoterpenes en
dc.subject.other Oils, Volatile en
dc.subject.other Plant Oils en
dc.subject.other Spectroscopy, Fourier Transform Infrared en
dc.subject.other Mentha en
dc.subject.other Mentha pulegium en
dc.title Classification of Greek mentha pulegium L. (Pennyroyal) samples, according to geographical location by fourier transform infrared spectroscopy en
heal.type journalArticle en
heal.identifier.primary 10.1002/pca.1322 en
heal.publicationDate 2012 en
heal.abstract Introduction Mentha pulegium L. (pennyroyal) is one of the four most commercially important Mentha species, even it is not a cultivated plant. It can be abundantly located in the Iberian Peninsula and North African countries. In Greece it grows in the wild and it is scattered all over the country. Pennyroyal is best known for its essential oil, with Spain and Morocco being the largest producers in the world. Mid-infrared spectroscopy has been applied to determine the origin of various samples. Objectives In this work Fourier transform infrared spectroscopy (FT-IR) combined with canonical discriminant analysis has been applied to distinguish 70 Greek pennyroyal samples according to their collection areas. Material and methods Pennyroyal nonpolar organic extracts were prepared using ultrasound-assisted solvent extraction. The spectra of the extracts were recorded in the range of 4000-400 cm -1 and the best discrimination was achieved in the spectral region 1720-1650 cm -1. Results Spectral features for the discrimination of pennyroyal samples among the different collection areas occur primarily in the carbonyl region and are correlated with the main volatile constituents of the extracts (menthone, isomenthone, pulegone, piperitone). All areas were easily differentiated by canonical discriminant analysis. The percentages of correct classification and validation were 94.3 and 90.0%, respectively. Conclusion The combination of FT-IR spectroscopy and multivariate analysis provides a rapid and ambient method to discriminate pennyroyal samples in terms of geographical origin. Copyright © 2011 John Wiley & Sons, Ltd. Mentha pulegium L. (pennyroyal) is one of the four most commercially important Mentha species, even it is not a cultivated plant. In Greece it grows in the wild. In this work Fourier Transform Infrared spectroscopy (FT-IR) combined with canonical discriminant analysis has been applied to distinguish seventy Greek pennyroyal samples according to their collection areas. The percentages of correct classification and validation were 94.3 % and 90.0 %, respectively. © 2011 John Wiley & Sons, Ltd. en
heal.journalName Phytochemical Analysis en
dc.identifier.issue 1 en
dc.identifier.volume 23 en
dc.identifier.doi 10.1002/pca.1322 en
dc.identifier.spage 34 en
dc.identifier.epage 43 en


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