Solid phase excitation-emission fluorescence method for the classification of complex substances: Cortex Phellodendri and other traditional Chinese medicines as examples.
Identifieur interne : 002914 ( Main/Exploration ); précédent : 002913; suivant : 002915Solid phase excitation-emission fluorescence method for the classification of complex substances: Cortex Phellodendri and other traditional Chinese medicines as examples.
Auteurs : Yao Gu [République populaire de Chine] ; Yongnian Ni ; Serge KokotSource :
- The journal of physical chemistry. A [ 1520-5215 ] ; 2012.
Descripteurs français
- KwdFr :
- MESH :
- composition chimique : Plantes médicinales.
- méthodes : Techniques de chimie analytique.
- Extraction en phase solide, Médecine traditionnelle chinoise, Spectrométrie de fluorescence.
English descriptors
- KwdEn :
- MESH :
Abstract
A novel, simple and direct fluorescence method for analysis of complex substances and their potential substitutes has been researched and developed. Measurements involved excitation and emission (EEM) fluorescence spectra of powdered, complex, medicinal herbs, Cortex Phellodendri Chinensis (CPC) and the similar Cortex Phellodendri Amurensis (CPA); these substances were compared and discriminated from each other and the potentially adulterated samples (Caulis mahoniae (CM) and David poplar bark (DPB)). Different chemometrics methods were applied for resolution of the complex spectra, and the excitation spectra were found to be the most informative; only the rank-ordering PROMETHEE method was able to classify the samples with single ingredients (CPA, CPC, CM) or those with binary mixtures (CPA/CPC, CPA/CM, CPC/CM). Interestingly, it was essential to use the geometrical analysis for interactive aid (GAIA) display for a full understanding of the classification results. However, these two methods, like the other chemometrics models, were unable to classify composite spectral matrices consisting of data from samples of single ingredients and binary mixtures; this suggested that the excitation spectra of the different samples were very similar. However, the method is useful for classification of single-ingredient samples and, separately, their binary mixtures; it may also be applied for similar classification work with other complex substances.
DOI: 10.1021/jp306051w
PubMed: 22920634
Affiliations:
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A</title><idno type="eISSN">1520-5215</idno><imprint><date when="2012" type="published">2012</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Chemistry Techniques, Analytical (methods)</term><term>Medicine, Chinese Traditional (MeSH)</term><term>Plants, Medicinal (chemistry)</term><term>Solid Phase Extraction (MeSH)</term><term>Spectrometry, Fluorescence (MeSH)</term></keywords><keywords scheme="KwdFr" xml:lang="fr"><term>Extraction en phase solide (MeSH)</term><term>Médecine traditionnelle chinoise (MeSH)</term><term>Plantes médicinales (composition chimique)</term><term>Spectrométrie de fluorescence (MeSH)</term><term>Techniques de chimie analytique (méthodes)</term></keywords><keywords scheme="MESH" qualifier="chemistry" xml:lang="en"><term>Plants, Medicinal</term></keywords><keywords scheme="MESH" qualifier="composition chimique" xml:lang="fr"><term>Plantes médicinales</term></keywords><keywords scheme="MESH" qualifier="methods" xml:lang="en"><term>Chemistry Techniques, Analytical</term></keywords><keywords scheme="MESH" qualifier="méthodes" xml:lang="fr"><term>Techniques de chimie analytique</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Medicine, Chinese Traditional</term><term>Solid Phase Extraction</term><term>Spectrometry, Fluorescence</term></keywords><keywords scheme="MESH" xml:lang="fr"><term>Extraction en phase solide</term><term>Médecine traditionnelle chinoise</term><term>Spectrométrie de fluorescence</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">A novel, simple and direct fluorescence method for analysis of complex substances and their potential substitutes has been researched and developed. Measurements involved excitation and emission (EEM) fluorescence spectra of powdered, complex, medicinal herbs, Cortex Phellodendri Chinensis (CPC) and the similar Cortex Phellodendri Amurensis (CPA); these substances were compared and discriminated from each other and the potentially adulterated samples (Caulis mahoniae (CM) and David poplar bark (DPB)). Different chemometrics methods were applied for resolution of the complex spectra, and the excitation spectra were found to be the most informative; only the rank-ordering PROMETHEE method was able to classify the samples with single ingredients (CPA, CPC, CM) or those with binary mixtures (CPA/CPC, CPA/CM, CPC/CM). Interestingly, it was essential to use the geometrical analysis for interactive aid (GAIA) display for a full understanding of the classification results. However, these two methods, like the other chemometrics models, were unable to classify composite spectral matrices consisting of data from samples of single ingredients and binary mixtures; this suggested that the excitation spectra of the different samples were very similar. However, the method is useful for classification of single-ingredient samples and, separately, their binary mixtures; it may also be applied for similar classification work with other complex substances. </div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">22920634</PMID><DateCompleted><Year>2014</Year><Month>09</Month><Day>30</Day></DateCompleted><DateRevised><Year>2014</Year><Month>02</Month><Day>04</Day></DateRevised><Article PubModel="Print-Electronic"><Journal><ISSN IssnType="Electronic">1520-5215</ISSN><JournalIssue CitedMedium="Internet"><Volume>116</Volume><Issue>36</Issue><PubDate><Year>2012</Year><Month>Sep</Month><Day>13</Day></PubDate></JournalIssue><Title>The journal of physical chemistry. A</Title><ISOAbbreviation>J Phys Chem A</ISOAbbreviation></Journal><ArticleTitle>Solid phase excitation-emission fluorescence method for the classification of complex substances: Cortex Phellodendri and other traditional Chinese medicines as examples.</ArticleTitle><Pagination><MedlinePgn>8949-58</MedlinePgn></Pagination><ELocationID EIdType="doi" ValidYN="Y">10.1021/jp306051w</ELocationID><Abstract><AbstractText>A novel, simple and direct fluorescence method for analysis of complex substances and their potential substitutes has been researched and developed. Measurements involved excitation and emission (EEM) fluorescence spectra of powdered, complex, medicinal herbs, Cortex Phellodendri Chinensis (CPC) and the similar Cortex Phellodendri Amurensis (CPA); these substances were compared and discriminated from each other and the potentially adulterated samples (Caulis mahoniae (CM) and David poplar bark (DPB)). Different chemometrics methods were applied for resolution of the complex spectra, and the excitation spectra were found to be the most informative; only the rank-ordering PROMETHEE method was able to classify the samples with single ingredients (CPA, CPC, CM) or those with binary mixtures (CPA/CPC, CPA/CM, CPC/CM). Interestingly, it was essential to use the geometrical analysis for interactive aid (GAIA) display for a full understanding of the classification results. However, these two methods, like the other chemometrics models, were unable to classify composite spectral matrices consisting of data from samples of single ingredients and binary mixtures; this suggested that the excitation spectra of the different samples were very similar. However, the method is useful for classification of single-ingredient samples and, separately, their binary mixtures; it may also be applied for similar classification work with other complex substances. </AbstractText></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Gu</LastName><ForeName>Yao</ForeName><Initials>Y</Initials><AffiliationInfo><Affiliation>State Key Laboratory of Food Science and Technology, Nanchang University , Nanchang 330047, China.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Ni</LastName><ForeName>Yongnian</ForeName><Initials>Y</Initials></Author><Author ValidYN="Y"><LastName>Kokot</LastName><ForeName>Serge</ForeName><Initials>S</Initials></Author></AuthorList><Language>eng</Language><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType><PublicationType UI="D013485">Research Support, Non-U.S. Gov't</PublicationType></PublicationTypeList><ArticleDate DateType="Electronic"><Year>2012</Year><Month>09</Month><Day>04</Day></ArticleDate></Article><MedlineJournalInfo><Country>United States</Country><MedlineTA>J Phys Chem A</MedlineTA><NlmUniqueID>9890903</NlmUniqueID><ISSNLinking>1089-5639</ISSNLinking></MedlineJournalInfo><CitationSubset>IM</CitationSubset><MeshHeadingList><MeshHeading><DescriptorName UI="D002623" MajorTopicYN="N">Chemistry Techniques, Analytical</DescriptorName><QualifierName UI="Q000379" MajorTopicYN="Y">methods</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D008516" MajorTopicYN="Y">Medicine, Chinese Traditional</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D010946" MajorTopicYN="N">Plants, Medicinal</DescriptorName><QualifierName UI="Q000737" MajorTopicYN="N">chemistry</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D052616" MajorTopicYN="Y">Solid Phase Extraction</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D013050" MajorTopicYN="N">Spectrometry, Fluorescence</DescriptorName></MeshHeading></MeshHeadingList></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="entrez"><Year>2012</Year><Month>8</Month><Day>28</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="pubmed"><Year>2012</Year><Month>8</Month><Day>28</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="medline"><Year>2014</Year><Month>10</Month><Day>1</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate></History><PublicationStatus>ppublish</PublicationStatus><ArticleIdList><ArticleId IdType="pubmed">22920634</ArticleId><ArticleId IdType="doi">10.1021/jp306051w</ArticleId></ArticleIdList></PubmedData></pubmed><affiliations><list><country><li>République populaire de Chine</li></country><region><li>Jiangxi</li></region><settlement><li>Nanchang</li></settlement></list><tree><noCountry><name sortKey="Kokot, Serge" sort="Kokot, Serge" uniqKey="Kokot S" first="Serge" last="Kokot">Serge Kokot</name><name sortKey="Ni, Yongnian" sort="Ni, Yongnian" uniqKey="Ni Y" first="Yongnian" last="Ni">Yongnian Ni</name></noCountry><country name="République populaire de Chine"><region name="Jiangxi"><name sortKey="Gu, Yao" sort="Gu, Yao" uniqKey="Gu Y" first="Yao" last="Gu">Yao Gu</name></region></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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