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Standardization of Second-Order Chromatographic/Spectroscopic Data for Optimum Chemical Analysis
Chemical analysis using second-order data collected on hyphenated instruments has proven advantages over first-order or zero-order techniques due to what is known as the second-order advantage. The primary second-order advantage is the ability to perform analysis in the presence of unknown interfere...
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Published in: | Analytical chemistry (Washington) 1998-01, Vol.70 (2), p.218-225 |
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description | Chemical analysis using second-order data collected on hyphenated instruments has proven advantages over first-order or zero-order techniques due to what is known as the second-order advantage. The primary second-order advantage is the ability to perform analysis in the presence of unknown interferences. This work demonstrates another key advantage of second-order chemical analysis, that is, the ability to standardize data sets of a second-order chromatographic analyzer under conditions which result in retention time variations along the chromatographic axis. An objective technique to standardize second-order chromatographic−spectral data is both theoretically and experimentally developed and tested. This method corrects for retention time shifts that occur between the analysis of the calibration sample and “unknown” samples. When this technique is combined with bilinear data analysis techniques like generalized rank annihilation method (GRAM), standardization and quantitation can be performed in the presence of unknown interferences with a single calibration sample. Most signal inconsistencies in second-order chromatographic data are confined to shifts of the time axis in the chromatographic profile. This retention time shift correction method is objective because it relies upon spectral signal shape and an understanding of the instrumentation. Retention time correction of this type would not be objective for first-order chromatographic analysis because retention time is the only qualitative information present. In one example of experimental evaluation, quantitation of a single analyte in a sample of five chemical components is performed using liquid chromatography with absorbance detection (LC/UV−vis). Both the chromatographic and spectral signals of these five chemical components are highly overlapped. In this example, a retention time shift between the calibration and “unknown” data sets of 0.2 s resulted in a 20% quantitation error prior to standardization. After alignment of the data sets using second-order chromatographic standardization, quantitative error was reduced to nearly 1%. Theoretical simulations which evaluate the performance of this technique as a second-order chromatographic retention time correction method were performed for a wide range of resolution and signal-to-noise values. In simulations where chromatographic resolution was 0.3 or below, quantitative precision improvements resulting from second-order chromatographic standardizat |
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The primary second-order advantage is the ability to perform analysis in the presence of unknown interferences. This work demonstrates another key advantage of second-order chemical analysis, that is, the ability to standardize data sets of a second-order chromatographic analyzer under conditions which result in retention time variations along the chromatographic axis. An objective technique to standardize second-order chromatographic−spectral data is both theoretically and experimentally developed and tested. This method corrects for retention time shifts that occur between the analysis of the calibration sample and “unknown” samples. When this technique is combined with bilinear data analysis techniques like generalized rank annihilation method (GRAM), standardization and quantitation can be performed in the presence of unknown interferences with a single calibration sample. Most signal inconsistencies in second-order chromatographic data are confined to shifts of the time axis in the chromatographic profile. This retention time shift correction method is objective because it relies upon spectral signal shape and an understanding of the instrumentation. Retention time correction of this type would not be objective for first-order chromatographic analysis because retention time is the only qualitative information present. In one example of experimental evaluation, quantitation of a single analyte in a sample of five chemical components is performed using liquid chromatography with absorbance detection (LC/UV−vis). Both the chromatographic and spectral signals of these five chemical components are highly overlapped. In this example, a retention time shift between the calibration and “unknown” data sets of 0.2 s resulted in a 20% quantitation error prior to standardization. After alignment of the data sets using second-order chromatographic standardization, quantitative error was reduced to nearly 1%. Theoretical simulations which evaluate the performance of this technique as a second-order chromatographic retention time correction method were performed for a wide range of resolution and signal-to-noise values. In simulations where chromatographic resolution was 0.3 or below, quantitative precision improvements resulting from second-order chromatographic standardization ranged from 3-fold to 10-fold. 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Chem</addtitle><description>Chemical analysis using second-order data collected on hyphenated instruments has proven advantages over first-order or zero-order techniques due to what is known as the second-order advantage. The primary second-order advantage is the ability to perform analysis in the presence of unknown interferences. This work demonstrates another key advantage of second-order chemical analysis, that is, the ability to standardize data sets of a second-order chromatographic analyzer under conditions which result in retention time variations along the chromatographic axis. An objective technique to standardize second-order chromatographic−spectral data is both theoretically and experimentally developed and tested. This method corrects for retention time shifts that occur between the analysis of the calibration sample and “unknown” samples. When this technique is combined with bilinear data analysis techniques like generalized rank annihilation method (GRAM), standardization and quantitation can be performed in the presence of unknown interferences with a single calibration sample. Most signal inconsistencies in second-order chromatographic data are confined to shifts of the time axis in the chromatographic profile. This retention time shift correction method is objective because it relies upon spectral signal shape and an understanding of the instrumentation. Retention time correction of this type would not be objective for first-order chromatographic analysis because retention time is the only qualitative information present. In one example of experimental evaluation, quantitation of a single analyte in a sample of five chemical components is performed using liquid chromatography with absorbance detection (LC/UV−vis). Both the chromatographic and spectral signals of these five chemical components are highly overlapped. In this example, a retention time shift between the calibration and “unknown” data sets of 0.2 s resulted in a 20% quantitation error prior to standardization. After alignment of the data sets using second-order chromatographic standardization, quantitative error was reduced to nearly 1%. Theoretical simulations which evaluate the performance of this technique as a second-order chromatographic retention time correction method were performed for a wide range of resolution and signal-to-noise values. In simulations where chromatographic resolution was 0.3 or below, quantitative precision improvements resulting from second-order chromatographic standardization ranged from 3-fold to 10-fold. 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Synovec, Robert E ; Kowalski, Bruce R</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a417t-5111deaa9317dd547062444dc1f9cbecbf275292e93f4dd2138f9f7ce530f5203</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>1998</creationdate><topic>Analysis</topic><topic>Analytical chemistry</topic><topic>Chemistry</topic><topic>Chromatographic methods and physical methods associated with chromatography</topic><topic>Exact sciences and technology</topic><topic>Methods</topic><topic>Other chromatographic methods</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Prazen, Bryan J</creatorcontrib><creatorcontrib>Synovec, Robert E</creatorcontrib><creatorcontrib>Kowalski, Bruce R</creatorcontrib><collection>Istex</collection><collection>Pascal-Francis</collection><collection>CrossRef</collection><collection>Aluminium Industry Abstracts</collection><collection>Biotechnology Research Abstracts</collection><collection>Ceramic Abstracts</collection><collection>Computer and Information Systems Abstracts</collection><collection>Corrosion Abstracts</collection><collection>Electronics & Communications Abstracts</collection><collection>Engineered Materials Abstracts</collection><collection>Materials Business File</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Nucleic Acids Abstracts</collection><collection>Solid State and Superconductivity Abstracts</collection><collection>Toxicology Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>METADEX</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ANTE: Abstracts in New Technology & Engineering</collection><collection>Engineering Research Database</collection><collection>Aerospace Database</collection><collection>Copper Technical Reference Library</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>Materials Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Civil Engineering Abstracts</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><collection>Biotechnology and BioEngineering Abstracts</collection><jtitle>Analytical chemistry (Washington)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Prazen, Bryan J</au><au>Synovec, Robert E</au><au>Kowalski, Bruce R</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Standardization of Second-Order Chromatographic/Spectroscopic Data for Optimum Chemical Analysis</atitle><jtitle>Analytical chemistry (Washington)</jtitle><addtitle>Anal. Chem</addtitle><date>1998-01-15</date><risdate>1998</risdate><volume>70</volume><issue>2</issue><spage>218</spage><epage>225</epage><pages>218-225</pages><issn>0003-2700</issn><eissn>1520-6882</eissn><coden>ANCHAM</coden><abstract>Chemical analysis using second-order data collected on hyphenated instruments has proven advantages over first-order or zero-order techniques due to what is known as the second-order advantage. The primary second-order advantage is the ability to perform analysis in the presence of unknown interferences. This work demonstrates another key advantage of second-order chemical analysis, that is, the ability to standardize data sets of a second-order chromatographic analyzer under conditions which result in retention time variations along the chromatographic axis. An objective technique to standardize second-order chromatographic−spectral data is both theoretically and experimentally developed and tested. This method corrects for retention time shifts that occur between the analysis of the calibration sample and “unknown” samples. When this technique is combined with bilinear data analysis techniques like generalized rank annihilation method (GRAM), standardization and quantitation can be performed in the presence of unknown interferences with a single calibration sample. Most signal inconsistencies in second-order chromatographic data are confined to shifts of the time axis in the chromatographic profile. This retention time shift correction method is objective because it relies upon spectral signal shape and an understanding of the instrumentation. Retention time correction of this type would not be objective for first-order chromatographic analysis because retention time is the only qualitative information present. In one example of experimental evaluation, quantitation of a single analyte in a sample of five chemical components is performed using liquid chromatography with absorbance detection (LC/UV−vis). Both the chromatographic and spectral signals of these five chemical components are highly overlapped. In this example, a retention time shift between the calibration and “unknown” data sets of 0.2 s resulted in a 20% quantitation error prior to standardization. After alignment of the data sets using second-order chromatographic standardization, quantitative error was reduced to nearly 1%. Theoretical simulations which evaluate the performance of this technique as a second-order chromatographic retention time correction method were performed for a wide range of resolution and signal-to-noise values. In simulations where chromatographic resolution was 0.3 or below, quantitative precision improvements resulting from second-order chromatographic standardization ranged from 3-fold to 10-fold. 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subjects | Analysis Analytical chemistry Chemistry Chromatographic methods and physical methods associated with chromatography Exact sciences and technology Methods Other chromatographic methods |
title | Standardization of Second-Order Chromatographic/Spectroscopic Data for Optimum Chemical Analysis |
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