Cocaine classification using alkaloid and residual solvent profiling

Highlights • Cocaine classification was evaluated using alkaloid and residual solvent profiling. • Residual solvent profiles exhibit higher discrimination power than alkaloid profiles. • GLM, LDA and QDA were used to establish residual-solvent-weighted models. • A residual-solvent-weighted model exh...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Forensic science international 2016-12, Vol.269, p.42-49
Hauptverfasser: Stride Nielsen, Louise, Lindholst, Christian, Villesen, Palle
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 49
container_issue
container_start_page 42
container_title Forensic science international
container_volume 269
creator Stride Nielsen, Louise
Lindholst, Christian
Villesen, Palle
description Highlights • Cocaine classification was evaluated using alkaloid and residual solvent profiling. • Residual solvent profiles exhibit higher discrimination power than alkaloid profiles. • GLM, LDA and QDA were used to establish residual-solvent-weighted models. • A residual-solvent-weighted model exhibited optimal classification.
doi_str_mv 10.1016/j.forsciint.2016.11.007
format Article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_1864573481</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><els_id>S0379073816304832</els_id><sourcerecordid>4273595421</sourcerecordid><originalsourceid>FETCH-LOGICAL-c487t-57ae01e4856b5807130fabfd90e6b181fb863412809bda407f4a5a61e60722fd3</originalsourceid><addsrcrecordid>eNqNks9rFDEUgIModq3-CzrgxcuMeUkmyV6EsrZaKHhQzyGTeZFss5OazBT63zfD1go99RQI3_v5PUI-AO2Agvy873zKxYUwzR2rHx1AR6l6QTagFWsl0_wl2VCuti1VXJ-QN6XsKaV9z-RrcsKUlrwyG_J1l5wNEzYu2lKCD87OIU3NUsL0p7Hx2sYUxsZOY5OxhHGxsSkp3uI0Nzc5-RAr95a88jYWfPfwnpLfF-e_dt_bqx_fLndnV60TWs1tryxSQKF7OfSaKuDU28GPW4pyAA1-qF0JYJpuh9EKqrywvZWAkirG_MhPyadj3lr574JlNodQHMZoJ0xLMaCl6BUXGp6BClDbuo4V_fgE3aclT3WQlVKidqRkpdSRcjmVktGbmxwONt8ZoGZ1Yvbm0YlZnRgAU53UyPcP-ZfhgONj3D8JFTg7Alh3dxswm5oFJ4djyOhmM6bwjCJfnuRw1Uy1Ga_xDsv_iUxhhpqf62mslwGSU6E54_c1PLUj</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1847441276</pqid></control><display><type>article</type><title>Cocaine classification using alkaloid and residual solvent profiling</title><source>Elsevier ScienceDirect Journals</source><creator>Stride Nielsen, Louise ; Lindholst, Christian ; Villesen, Palle</creator><creatorcontrib>Stride Nielsen, Louise ; Lindholst, Christian ; Villesen, Palle</creatorcontrib><description>Highlights • Cocaine classification was evaluated using alkaloid and residual solvent profiling. • Residual solvent profiles exhibit higher discrimination power than alkaloid profiles. • GLM, LDA and QDA were used to establish residual-solvent-weighted models. • A residual-solvent-weighted model exhibited optimal classification.</description><identifier>ISSN: 0379-0738</identifier><identifier>EISSN: 1872-6283</identifier><identifier>DOI: 10.1016/j.forsciint.2016.11.007</identifier><identifier>PMID: 27863283</identifier><language>eng</language><publisher>Ireland: Elsevier B.V</publisher><subject>Alkaloids ; Classification ; Cocaine ; Discriminant analysis ; Forensic sciences ; Gas chromatography–mass spectrometry ; Headspace analysis ; Illicit drugs ; Link establishment ; Logistic regression ; Mass spectrometry ; Methods ; Narcotics ; Pathology ; Principal components analysis ; Samples ; Seizures ; Solvents ; Statistical analysis ; Statistical methods</subject><ispartof>Forensic science international, 2016-12, Vol.269, p.42-49</ispartof><rights>Elsevier Ireland Ltd</rights><rights>2016 Elsevier Ireland Ltd</rights><rights>Copyright © 2016 Elsevier Ireland Ltd. All rights reserved.</rights><rights>Copyright Elsevier Limited Dec 1, 2016</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c487t-57ae01e4856b5807130fabfd90e6b181fb863412809bda407f4a5a61e60722fd3</citedby><cites>FETCH-LOGICAL-c487t-57ae01e4856b5807130fabfd90e6b181fb863412809bda407f4a5a61e60722fd3</cites><orcidid>0000-0002-8865-3641</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S0379073816304832$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,776,780,3537,27901,27902,65306</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/27863283$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Stride Nielsen, Louise</creatorcontrib><creatorcontrib>Lindholst, Christian</creatorcontrib><creatorcontrib>Villesen, Palle</creatorcontrib><title>Cocaine classification using alkaloid and residual solvent profiling</title><title>Forensic science international</title><addtitle>Forensic Sci Int</addtitle><description>Highlights • Cocaine classification was evaluated using alkaloid and residual solvent profiling. • Residual solvent profiles exhibit higher discrimination power than alkaloid profiles. • GLM, LDA and QDA were used to establish residual-solvent-weighted models. • A residual-solvent-weighted model exhibited optimal classification.</description><subject>Alkaloids</subject><subject>Classification</subject><subject>Cocaine</subject><subject>Discriminant analysis</subject><subject>Forensic sciences</subject><subject>Gas chromatography–mass spectrometry</subject><subject>Headspace analysis</subject><subject>Illicit drugs</subject><subject>Link establishment</subject><subject>Logistic regression</subject><subject>Mass spectrometry</subject><subject>Methods</subject><subject>Narcotics</subject><subject>Pathology</subject><subject>Principal components analysis</subject><subject>Samples</subject><subject>Seizures</subject><subject>Solvents</subject><subject>Statistical analysis</subject><subject>Statistical methods</subject><issn>0379-0738</issn><issn>1872-6283</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2016</creationdate><recordtype>article</recordtype><sourceid>8G5</sourceid><sourceid>BENPR</sourceid><sourceid>GUQSH</sourceid><sourceid>M2O</sourceid><recordid>eNqNks9rFDEUgIModq3-CzrgxcuMeUkmyV6EsrZaKHhQzyGTeZFss5OazBT63zfD1go99RQI3_v5PUI-AO2Agvy873zKxYUwzR2rHx1AR6l6QTagFWsl0_wl2VCuti1VXJ-QN6XsKaV9z-RrcsKUlrwyG_J1l5wNEzYu2lKCD87OIU3NUsL0p7Hx2sYUxsZOY5OxhHGxsSkp3uI0Nzc5-RAr95a88jYWfPfwnpLfF-e_dt_bqx_fLndnV60TWs1tryxSQKF7OfSaKuDU28GPW4pyAA1-qF0JYJpuh9EKqrywvZWAkirG_MhPyadj3lr574JlNodQHMZoJ0xLMaCl6BUXGp6BClDbuo4V_fgE3aclT3WQlVKidqRkpdSRcjmVktGbmxwONt8ZoGZ1Yvbm0YlZnRgAU53UyPcP-ZfhgONj3D8JFTg7Alh3dxswm5oFJ4djyOhmM6bwjCJfnuRw1Uy1Ga_xDsv_iUxhhpqf62mslwGSU6E54_c1PLUj</recordid><startdate>20161201</startdate><enddate>20161201</enddate><creator>Stride Nielsen, Louise</creator><creator>Lindholst, Christian</creator><creator>Villesen, Palle</creator><general>Elsevier B.V</general><general>Elsevier Limited</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7QP</scope><scope>7RV</scope><scope>7U7</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8FE</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>8G5</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB0</scope><scope>LK8</scope><scope>M0S</scope><scope>M1P</scope><scope>M2O</scope><scope>M7P</scope><scope>MBDVC</scope><scope>NAPCQ</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>Q9U</scope><scope>7X8</scope><scope>7U5</scope><scope>8FD</scope><scope>L7M</scope><orcidid>https://orcid.org/0000-0002-8865-3641</orcidid></search><sort><creationdate>20161201</creationdate><title>Cocaine classification using alkaloid and residual solvent profiling</title><author>Stride Nielsen, Louise ; Lindholst, Christian ; Villesen, Palle</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c487t-57ae01e4856b5807130fabfd90e6b181fb863412809bda407f4a5a61e60722fd3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2016</creationdate><topic>Alkaloids</topic><topic>Classification</topic><topic>Cocaine</topic><topic>Discriminant analysis</topic><topic>Forensic sciences</topic><topic>Gas chromatography–mass spectrometry</topic><topic>Headspace analysis</topic><topic>Illicit drugs</topic><topic>Link establishment</topic><topic>Logistic regression</topic><topic>Mass spectrometry</topic><topic>Methods</topic><topic>Narcotics</topic><topic>Pathology</topic><topic>Principal components analysis</topic><topic>Samples</topic><topic>Seizures</topic><topic>Solvents</topic><topic>Statistical analysis</topic><topic>Statistical methods</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Stride Nielsen, Louise</creatorcontrib><creatorcontrib>Lindholst, Christian</creatorcontrib><creatorcontrib>Villesen, Palle</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Calcium &amp; Calcified Tissue Abstracts</collection><collection>Nursing &amp; Allied Health Database</collection><collection>Toxicology Abstracts</collection><collection>Health &amp; Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Research Library (Alumni Edition)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Natural Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>Research Library Prep</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health &amp; Medical Complete (Alumni)</collection><collection>Nursing &amp; Allied Health Database (Alumni Edition)</collection><collection>ProQuest Biological Science Collection</collection><collection>Health &amp; Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Research Library</collection><collection>Biological Science Database</collection><collection>Research Library (Corporate)</collection><collection>Nursing &amp; Allied Health Premium</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>ProQuest Central Basic</collection><collection>MEDLINE - Academic</collection><collection>Solid State and Superconductivity Abstracts</collection><collection>Technology Research Database</collection><collection>Advanced Technologies Database with Aerospace</collection><jtitle>Forensic science international</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Stride Nielsen, Louise</au><au>Lindholst, Christian</au><au>Villesen, Palle</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Cocaine classification using alkaloid and residual solvent profiling</atitle><jtitle>Forensic science international</jtitle><addtitle>Forensic Sci Int</addtitle><date>2016-12-01</date><risdate>2016</risdate><volume>269</volume><spage>42</spage><epage>49</epage><pages>42-49</pages><issn>0379-0738</issn><eissn>1872-6283</eissn><abstract>Highlights • Cocaine classification was evaluated using alkaloid and residual solvent profiling. • Residual solvent profiles exhibit higher discrimination power than alkaloid profiles. • GLM, LDA and QDA were used to establish residual-solvent-weighted models. • A residual-solvent-weighted model exhibited optimal classification.</abstract><cop>Ireland</cop><pub>Elsevier B.V</pub><pmid>27863283</pmid><doi>10.1016/j.forsciint.2016.11.007</doi><tpages>8</tpages><orcidid>https://orcid.org/0000-0002-8865-3641</orcidid></addata></record>
fulltext fulltext
identifier ISSN: 0379-0738
ispartof Forensic science international, 2016-12, Vol.269, p.42-49
issn 0379-0738
1872-6283
language eng
recordid cdi_proquest_miscellaneous_1864573481
source Elsevier ScienceDirect Journals
subjects Alkaloids
Classification
Cocaine
Discriminant analysis
Forensic sciences
Gas chromatography–mass spectrometry
Headspace analysis
Illicit drugs
Link establishment
Logistic regression
Mass spectrometry
Methods
Narcotics
Pathology
Principal components analysis
Samples
Seizures
Solvents
Statistical analysis
Statistical methods
title Cocaine classification using alkaloid and residual solvent profiling
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-28T17%3A13%3A49IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Cocaine%20classification%20using%20alkaloid%20and%20residual%20solvent%20profiling&rft.jtitle=Forensic%20science%20international&rft.au=Stride%20Nielsen,%20Louise&rft.date=2016-12-01&rft.volume=269&rft.spage=42&rft.epage=49&rft.pages=42-49&rft.issn=0379-0738&rft.eissn=1872-6283&rft_id=info:doi/10.1016/j.forsciint.2016.11.007&rft_dat=%3Cproquest_cross%3E4273595421%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=1847441276&rft_id=info:pmid/27863283&rft_els_id=S0379073816304832&rfr_iscdi=true