Metabolic profiling of piper species by direct analysis in real time mass spectrometry combined with principal component analysis

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dc.contributor.author Chandra, Preeti
dc.contributor.author Bajpai, Vikas
dc.contributor.author Srivastva, Mukesh
dc.contributor.author Kumar, K B R
dc.contributor.author Kumar, Brijesh
dc.date.accessioned 2014-08-20T11:39:18Z
dc.date.available 2014-08-20T11:39:18Z
dc.date.issued 2014
dc.identifier.citation Analytical Methods, 2014, 6, 4234-4239 en
dc.identifier.uri http://hdl.handle.net/123456789/1373
dc.description.abstract Piper nigrum (Black pepper), Piper longum (Indian tipali) and Piper chaba (Bangla tipali) are widely used medicinal herbs in traditional Indian systems of medicine. P. longum as well as P. chaba are considered as the inferior substituent of P. nigrum. A rapid chemical method of analysis was developed to generate the chemical fingerprints as an alternative means to the only available morphological basis of identification of these species. Direct analysis in real time mass spectrometry was applied to generate a chemical fingerprints for various parts viz. fruit, leaf and root of these Piper species followed by multivariate analysis for discrimination. Principal Component Analysis of DARTMS data served as a reliable method for species identification. Phytochemical analysis showed the presence of mainly alkaloids in various parts of Piper species. The results showed that different Piper species could be successfully differentiated using DARTMS fingerprinting together with principal component analysis and it is a promising method for rapid identification and quality control of Piper species. en
dc.format.extent 388958 bytes
dc.format.mimetype application/pdf
dc.language.iso es en
dc.relation.ispartofseries CSIR-CDRI Communication No. 8680 en
dc.subject P. Longum en
dc.subject P. Nigrum en
dc.subject P. Chaba en
dc.subject DARTMS en
dc.subject Principal Component Analysis en
dc.title Metabolic profiling of piper species by direct analysis in real time mass spectrometry combined with principal component analysis en
dc.type Article en


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