FINGERPRINT ANALYSIS OF UNFRACTIONATED Piper PLANT EXTRACTS BY HPLC-UV-DAD COUPLED WITH CHEMOMETRIC METHODS

23 crude ethanolic extracts of Piper plants were analyzed by combining HPLC fingerprints and chemometric methods including principal component analysis (PCA), hierarchical clustering analysis (HCA) and parallel factor analysis (PARAFAC). All statistical analysis were carried out both with and without previous preprocessing by counting with alignment of the fingerprints by correlation optimized warping (COW) and several normalization methods. Normalization processes of autoscaling, range scaling and vast scaling resulted to be the better offering the most relevant information. Both direct two-way methods (PCA and HCA) and HCA after data minimization employing a three-way method (PARAFAC) were demonstrated to be useful in the establishment of chemical composition relationships among Piper samples, and resulting in agreement with phylogenic relationships previously reported in literature to some Piper species.

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Main Authors: BERNAL,FREDDY A, DELGADO,WILMAN A, CUCA,LUIS E
Format: Digital revista
Language:English
Published: Sociedad Chilena de Química 2012
Online Access:http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0717-97072012000300013
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spelling oai:scielo:S0717-970720120003000132019-02-19FINGERPRINT ANALYSIS OF UNFRACTIONATED Piper PLANT EXTRACTS BY HPLC-UV-DAD COUPLED WITH CHEMOMETRIC METHODSBERNAL,FREDDY ADELGADO,WILMAN ACUCA,LUIS E Piper Piperaceae fingerprints HPLC chemometrics PCA pest control potential 23 crude ethanolic extracts of Piper plants were analyzed by combining HPLC fingerprints and chemometric methods including principal component analysis (PCA), hierarchical clustering analysis (HCA) and parallel factor analysis (PARAFAC). All statistical analysis were carried out both with and without previous preprocessing by counting with alignment of the fingerprints by correlation optimized warping (COW) and several normalization methods. Normalization processes of autoscaling, range scaling and vast scaling resulted to be the better offering the most relevant information. Both direct two-way methods (PCA and HCA) and HCA after data minimization employing a three-way method (PARAFAC) were demonstrated to be useful in the establishment of chemical composition relationships among Piper samples, and resulting in agreement with phylogenic relationships previously reported in literature to some Piper species.info:eu-repo/semantics/openAccessSociedad Chilena de QuímicaJournal of the Chilean Chemical Society v.57 n.3 20122012-01-01text/htmlhttp://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0717-97072012000300013en10.4067/S0717-97072012000300013
institution SCIELO
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country Chile
countrycode CL
component Revista
access En linea
databasecode rev-scielo-cl
tag revista
region America del Sur
libraryname SciELO
language English
format Digital
author BERNAL,FREDDY A
DELGADO,WILMAN A
CUCA,LUIS E
spellingShingle BERNAL,FREDDY A
DELGADO,WILMAN A
CUCA,LUIS E
FINGERPRINT ANALYSIS OF UNFRACTIONATED Piper PLANT EXTRACTS BY HPLC-UV-DAD COUPLED WITH CHEMOMETRIC METHODS
author_facet BERNAL,FREDDY A
DELGADO,WILMAN A
CUCA,LUIS E
author_sort BERNAL,FREDDY A
title FINGERPRINT ANALYSIS OF UNFRACTIONATED Piper PLANT EXTRACTS BY HPLC-UV-DAD COUPLED WITH CHEMOMETRIC METHODS
title_short FINGERPRINT ANALYSIS OF UNFRACTIONATED Piper PLANT EXTRACTS BY HPLC-UV-DAD COUPLED WITH CHEMOMETRIC METHODS
title_full FINGERPRINT ANALYSIS OF UNFRACTIONATED Piper PLANT EXTRACTS BY HPLC-UV-DAD COUPLED WITH CHEMOMETRIC METHODS
title_fullStr FINGERPRINT ANALYSIS OF UNFRACTIONATED Piper PLANT EXTRACTS BY HPLC-UV-DAD COUPLED WITH CHEMOMETRIC METHODS
title_full_unstemmed FINGERPRINT ANALYSIS OF UNFRACTIONATED Piper PLANT EXTRACTS BY HPLC-UV-DAD COUPLED WITH CHEMOMETRIC METHODS
title_sort fingerprint analysis of unfractionated piper plant extracts by hplc-uv-dad coupled with chemometric methods
description 23 crude ethanolic extracts of Piper plants were analyzed by combining HPLC fingerprints and chemometric methods including principal component analysis (PCA), hierarchical clustering analysis (HCA) and parallel factor analysis (PARAFAC). All statistical analysis were carried out both with and without previous preprocessing by counting with alignment of the fingerprints by correlation optimized warping (COW) and several normalization methods. Normalization processes of autoscaling, range scaling and vast scaling resulted to be the better offering the most relevant information. Both direct two-way methods (PCA and HCA) and HCA after data minimization employing a three-way method (PARAFAC) were demonstrated to be useful in the establishment of chemical composition relationships among Piper samples, and resulting in agreement with phylogenic relationships previously reported in literature to some Piper species.
publisher Sociedad Chilena de Química
publishDate 2012
url http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0717-97072012000300013
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