Self-modeling curve resolution by factor analysis of a continuous series of pyrolysis mass spectra
A self-modeling technique for curve resolution of overlapping processes is presented. This method uses factor analysis combined with the variance diagram technique to resolve the total ion current (TIC) curves from time-resolved pyrolysis mass spectrometry data into chemical component curves and the...
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| Veröffentlicht in: | Anal. Chem.; (United States) 1987-01, Vol.59 (2), p.317-323 |
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| container_title | Anal. Chem.; (United States) |
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| creator | Windig, Willem Jakab, Emma Richards, Joseph M Meuzelaar, Henk L. C |
| description | A self-modeling technique for curve resolution of overlapping processes is presented. This method uses factor analysis combined with the variance diagram technique to resolve the total ion current (TIC) curves from time-resolved pyrolysis mass spectrometry data into chemical component curves and their spectra. Examples are presented of time-resolved pyrolysis mass spectrometry data from a biopolymer mixture (deoxyribonucleic acid, bovine serum albumin, and glycogen), douglas fir wood, and a rubber copolymer. The analysis of each of these samples resulted in the resolution of the TIC's into chemical component curves. The spectra corresponding to the chemical components were clearly similar to reference spectra. |
| doi_str_mv | 10.1021/ac00129a021 |
| format | Article |
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C</creator><creatorcontrib>Windig, Willem ; Jakab, Emma ; Richards, Joseph M ; Meuzelaar, Henk L. C ; Univ. of Utah, Salt Lake City</creatorcontrib><description>A self-modeling technique for curve resolution of overlapping processes is presented. This method uses factor analysis combined with the variance diagram technique to resolve the total ion current (TIC) curves from time-resolved pyrolysis mass spectrometry data into chemical component curves and their spectra. Examples are presented of time-resolved pyrolysis mass spectrometry data from a biopolymer mixture (deoxyribonucleic acid, bovine serum albumin, and glycogen), douglas fir wood, and a rubber copolymer. The analysis of each of these samples resulted in the resolution of the TIC's into chemical component curves. The spectra corresponding to the chemical components were clearly similar to reference spectra.</description><identifier>ISSN: 0003-2700</identifier><identifier>EISSN: 1520-6882</identifier><identifier>DOI: 10.1021/ac00129a021</identifier><identifier>CODEN: ANCHAM</identifier><language>eng</language><publisher>Washington, DC: American Chemical Society</publisher><subject>400102 - Chemical & Spectral Procedures ; ALBUMINS ; Applied sciences ; CARBOHYDRATES ; CHEMICAL ANALYSIS ; CHEMICAL REACTIONS ; DATA ; DECOMPOSITION ; DISPERSIONS ; DNA ; Exact sciences and technology ; EXPERIMENTAL DATA ; GLYCOGEN ; INFORMATION ; INORGANIC, ORGANIC, PHYSICAL AND ANALYTICAL CHEMISTRY ; MASS SPECTROSCOPY ; MATHEMATICAL MODELS ; MIXTURES ; NUCLEIC ACIDS ; NUMERICAL DATA ; ORGANIC COMPOUNDS ; ORGANIC POLYMERS ; Other techniques and industries ; POLYMERS ; POLYSACCHARIDES ; PROTEINS ; PYROLYSIS ; QUALITATIVE CHEMICAL ANALYSIS ; SACCHARIDES ; SPECTROSCOPY ; THERMOCHEMICAL PROCESSES ; WOOD</subject><ispartof>Anal. 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C</creatorcontrib><creatorcontrib>Univ. of Utah, Salt Lake City</creatorcontrib><title>Self-modeling curve resolution by factor analysis of a continuous series of pyrolysis mass spectra</title><title>Anal. Chem.; (United States)</title><addtitle>Anal. Chem</addtitle><description>A self-modeling technique for curve resolution of overlapping processes is presented. This method uses factor analysis combined with the variance diagram technique to resolve the total ion current (TIC) curves from time-resolved pyrolysis mass spectrometry data into chemical component curves and their spectra. Examples are presented of time-resolved pyrolysis mass spectrometry data from a biopolymer mixture (deoxyribonucleic acid, bovine serum albumin, and glycogen), douglas fir wood, and a rubber copolymer. The analysis of each of these samples resulted in the resolution of the TIC's into chemical component curves. The spectra corresponding to the chemical components were clearly similar to reference spectra.</description><subject>400102 - Chemical & Spectral Procedures</subject><subject>ALBUMINS</subject><subject>Applied sciences</subject><subject>CARBOHYDRATES</subject><subject>CHEMICAL ANALYSIS</subject><subject>CHEMICAL REACTIONS</subject><subject>DATA</subject><subject>DECOMPOSITION</subject><subject>DISPERSIONS</subject><subject>DNA</subject><subject>Exact sciences and technology</subject><subject>EXPERIMENTAL DATA</subject><subject>GLYCOGEN</subject><subject>INFORMATION</subject><subject>INORGANIC, ORGANIC, PHYSICAL AND ANALYTICAL CHEMISTRY</subject><subject>MASS SPECTROSCOPY</subject><subject>MATHEMATICAL MODELS</subject><subject>MIXTURES</subject><subject>NUCLEIC ACIDS</subject><subject>NUMERICAL DATA</subject><subject>ORGANIC COMPOUNDS</subject><subject>ORGANIC POLYMERS</subject><subject>Other techniques and industries</subject><subject>POLYMERS</subject><subject>POLYSACCHARIDES</subject><subject>PROTEINS</subject><subject>PYROLYSIS</subject><subject>QUALITATIVE CHEMICAL ANALYSIS</subject><subject>SACCHARIDES</subject><subject>SPECTROSCOPY</subject><subject>THERMOCHEMICAL PROCESSES</subject><subject>WOOD</subject><issn>0003-2700</issn><issn>1520-6882</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>1987</creationdate><recordtype>article</recordtype><recordid>eNpt0F1L5DAUBuAgCo4fV_6BsAheSDUfk6a9FHfdXRxUcPA2nKaJG-00Q04rzr_faEW88CqHnCfh5SXkiLMzzgQ_B8sYFzXkeYvMuBKsKKtKbJMZY0wWQjO2S_YQnzLjjJcz0ty7zher2Lou9I_UjunF0eQwduMQYk-bDfVgh5go9NBtMCCNngK1sR9CP8YRKboU3Pv1epPiZFaAebF2dkhwQHY8dOgOP859srz6tbz8Uyxuf_-9vFgUIJUeipJ7D4pZyV0tastcLedaNArmrbSuKrlrrWplyedVWzdaStu00DA_923jlJb75Mf0bcQhGLRhcPZfjtnnEKasNed1ndHphGyKiMl5s05hBWljODNvFZovFWZ9POk1oIXOJ-htwM8nWolKKZlZMbGAg3v9XEN6NqWWWpnl3b25-Xmtlg8LYd5CnEweLJqnOKbcLH4b4D-8qY3P</recordid><startdate>19870115</startdate><enddate>19870115</enddate><creator>Windig, Willem</creator><creator>Jakab, Emma</creator><creator>Richards, Joseph M</creator><creator>Meuzelaar, Henk L. C</creator><general>American Chemical Society</general><scope>BSCLL</scope><scope>IQODW</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>OTOTI</scope></search><sort><creationdate>19870115</creationdate><title>Self-modeling curve resolution by factor analysis of a continuous series of pyrolysis mass spectra</title><author>Windig, Willem ; Jakab, Emma ; Richards, Joseph M ; Meuzelaar, Henk L. C</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a357t-61ffa50c31e929c0e93472b5a4d3ce861edc5d36148d9b733cbdab0f4fdbe573</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>1987</creationdate><topic>400102 - Chemical & Spectral Procedures</topic><topic>ALBUMINS</topic><topic>Applied sciences</topic><topic>CARBOHYDRATES</topic><topic>CHEMICAL ANALYSIS</topic><topic>CHEMICAL REACTIONS</topic><topic>DATA</topic><topic>DECOMPOSITION</topic><topic>DISPERSIONS</topic><topic>DNA</topic><topic>Exact sciences and technology</topic><topic>EXPERIMENTAL DATA</topic><topic>GLYCOGEN</topic><topic>INFORMATION</topic><topic>INORGANIC, ORGANIC, PHYSICAL AND ANALYTICAL CHEMISTRY</topic><topic>MASS SPECTROSCOPY</topic><topic>MATHEMATICAL MODELS</topic><topic>MIXTURES</topic><topic>NUCLEIC ACIDS</topic><topic>NUMERICAL DATA</topic><topic>ORGANIC COMPOUNDS</topic><topic>ORGANIC POLYMERS</topic><topic>Other techniques and industries</topic><topic>POLYMERS</topic><topic>POLYSACCHARIDES</topic><topic>PROTEINS</topic><topic>PYROLYSIS</topic><topic>QUALITATIVE CHEMICAL ANALYSIS</topic><topic>SACCHARIDES</topic><topic>SPECTROSCOPY</topic><topic>THERMOCHEMICAL PROCESSES</topic><topic>WOOD</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Windig, Willem</creatorcontrib><creatorcontrib>Jakab, Emma</creatorcontrib><creatorcontrib>Richards, Joseph M</creatorcontrib><creatorcontrib>Meuzelaar, Henk L. C</creatorcontrib><creatorcontrib>Univ. of Utah, Salt Lake City</creatorcontrib><collection>Istex</collection><collection>Pascal-Francis</collection><collection>CrossRef</collection><collection>OSTI.GOV</collection><jtitle>Anal. Chem.; (United States)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Windig, Willem</au><au>Jakab, Emma</au><au>Richards, Joseph M</au><au>Meuzelaar, Henk L. C</au><aucorp>Univ. of Utah, Salt Lake City</aucorp><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Self-modeling curve resolution by factor analysis of a continuous series of pyrolysis mass spectra</atitle><jtitle>Anal. Chem.; (United States)</jtitle><addtitle>Anal. Chem</addtitle><date>1987-01-15</date><risdate>1987</risdate><volume>59</volume><issue>2</issue><spage>317</spage><epage>323</epage><pages>317-323</pages><issn>0003-2700</issn><eissn>1520-6882</eissn><coden>ANCHAM</coden><abstract>A self-modeling technique for curve resolution of overlapping processes is presented. This method uses factor analysis combined with the variance diagram technique to resolve the total ion current (TIC) curves from time-resolved pyrolysis mass spectrometry data into chemical component curves and their spectra. Examples are presented of time-resolved pyrolysis mass spectrometry data from a biopolymer mixture (deoxyribonucleic acid, bovine serum albumin, and glycogen), douglas fir wood, and a rubber copolymer. The analysis of each of these samples resulted in the resolution of the TIC's into chemical component curves. The spectra corresponding to the chemical components were clearly similar to reference spectra.</abstract><cop>Washington, DC</cop><pub>American Chemical Society</pub><doi>10.1021/ac00129a021</doi><tpages>7</tpages></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 0003-2700 |
| ispartof | Anal. Chem.; (United States), 1987-01, Vol.59 (2), p.317-323 |
| issn | 0003-2700 1520-6882 |
| language | eng |
| recordid | cdi_crossref_primary_10_1021_ac00129a021 |
| source | American Chemical Society (ACS) Journals |
| subjects | 400102 - Chemical & Spectral Procedures ALBUMINS Applied sciences CARBOHYDRATES CHEMICAL ANALYSIS CHEMICAL REACTIONS DATA DECOMPOSITION DISPERSIONS DNA Exact sciences and technology EXPERIMENTAL DATA GLYCOGEN INFORMATION INORGANIC, ORGANIC, PHYSICAL AND ANALYTICAL CHEMISTRY MASS SPECTROSCOPY MATHEMATICAL MODELS MIXTURES NUCLEIC ACIDS NUMERICAL DATA ORGANIC COMPOUNDS ORGANIC POLYMERS Other techniques and industries POLYMERS POLYSACCHARIDES PROTEINS PYROLYSIS QUALITATIVE CHEMICAL ANALYSIS SACCHARIDES SPECTROSCOPY THERMOCHEMICAL PROCESSES WOOD |
| title | Self-modeling curve resolution by factor analysis of a continuous series of pyrolysis mass spectra |
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