IUPAC-Consistent Approach to the Limit of Detection in Partial Least-Squares Calibration
There is currently no well-defined procedure for providing the limit of detection (LOD) in multivariate calibration. Defining an estimator for the LOD in this scenario has shown to be more complex than intuitively extending the traditional univariate definition. For these reasons, although many atte...
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Veröffentlicht in: | Analytical chemistry (Washington) 2014-08, Vol.86 (15), p.7858-7866 |
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description | There is currently no well-defined procedure for providing the limit of detection (LOD) in multivariate calibration. Defining an estimator for the LOD in this scenario has shown to be more complex than intuitively extending the traditional univariate definition. For these reasons, although many attempts have been made to arrive at a reasonable convention, additional effort is required to achieve full agreement between the univariate and multivariate LOD definitions. In this work, a novel approach is presented to estimate the LOD in partial least-squares (PLS) calibration. Instead of a single LOD value, an interval of LODs is provided, which depends on the variation of the background composition in the calibration space. This is in contrast with previously proposed univariate extensions of the LOD concept. With the present definition, the LOD interval becomes a parameter characterizing the overall PLS calibration model, and not each test sample in particular, as has been proposed in the past. The new approach takes into account IUPAC official recommendations, and also the latest developments in error-in-variables theory for PLS calibration. Both simulated and real analytical systems have been studied for illustrating the properties of the new LOD concept. |
doi_str_mv | 10.1021/ac501786u |
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Chem</addtitle><description>There is currently no well-defined procedure for providing the limit of detection (LOD) in multivariate calibration. Defining an estimator for the LOD in this scenario has shown to be more complex than intuitively extending the traditional univariate definition. For these reasons, although many attempts have been made to arrive at a reasonable convention, additional effort is required to achieve full agreement between the univariate and multivariate LOD definitions. In this work, a novel approach is presented to estimate the LOD in partial least-squares (PLS) calibration. Instead of a single LOD value, an interval of LODs is provided, which depends on the variation of the background composition in the calibration space. This is in contrast with previously proposed univariate extensions of the LOD concept. With the present definition, the LOD interval becomes a parameter characterizing the overall PLS calibration model, and not each test sample in particular, as has been proposed in the past. The new approach takes into account IUPAC official recommendations, and also the latest developments in error-in-variables theory for PLS calibration. Both simulated and real analytical systems have been studied for illustrating the properties of the new LOD concept.</description><subject>Analytical chemistry</subject><subject>Calibration</subject><subject>Computer simulation</subject><subject>Conventions</subject><subject>Estimates</subject><subject>Estimators</subject><subject>Intervals</subject><subject>Least squares method</subject><subject>Least-Squares Analysis</subject><subject>Limit of Detection</subject><subject>Mathematical analysis</subject><subject>Multivariate analysis</subject><subject>Simulation</subject><subject>Theory</subject><subject>Variables</subject><issn>0003-2700</issn><issn>1520-6882</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2014</creationdate><recordtype>article</recordtype><sourceid>N~.</sourceid><sourceid>EIF</sourceid><recordid>eNqF0c9L5DAUB_Agio7uHvwHJCCCHrr7kqZtehzqjx0YUFiFvZXX9gUjnXZM0oP_vRlGRfSwvEMuH755jy9jxwJ-CZDiN7YZiELn0w6biUxCkmstd9kMANJEFgAH7ND7JwAhQOT77EBmALos9Yz9WzzczaukGgdvfaAh8Pl67UZsH3kYeXgkvrQrG_ho-CUFaoMdB24HfocuWOz5ktCH5O_zhI48r7C3jcMN-sH2DPaefr69R-zh-uq--pMsb28W1XyZoCqKkKDJ4_IGTUqITWqUIlKmRIqjJeRCF12jdanysumyMutaMCRT1WhFEjpMj9j5Njdu_TyRD_XK-pb6HgcaJ1-LvJSpBqnU_2mWiVxEKSI9_UKfxskN8ZCNkipNpS6jutiq1o3eOzL12tkVupdaQL1ppv5oJtqTt8SpWVH3Id-riOBsC7D1n377FvQKJLaTjQ</recordid><startdate>20140805</startdate><enddate>20140805</enddate><creator>Allegrini, Franco</creator><creator>Olivieri, Alejandro C</creator><general>American Chemical Society</general><scope>N~.</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7QF</scope><scope>7QO</scope><scope>7QQ</scope><scope>7SC</scope><scope>7SE</scope><scope>7SP</scope><scope>7SR</scope><scope>7TA</scope><scope>7TB</scope><scope>7TM</scope><scope>7U5</scope><scope>7U7</scope><scope>7U9</scope><scope>8BQ</scope><scope>8FD</scope><scope>C1K</scope><scope>F28</scope><scope>FR3</scope><scope>H8D</scope><scope>H8G</scope><scope>H94</scope><scope>JG9</scope><scope>JQ2</scope><scope>KR7</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><scope>P64</scope><scope>7X8</scope></search><sort><creationdate>20140805</creationdate><title>IUPAC-Consistent Approach to the Limit of Detection in Partial Least-Squares Calibration</title><author>Allegrini, Franco ; Olivieri, Alejandro C</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a477t-af6c50faf3eaab3f44ee4f9aeaea8206187db889469bd595dc0fe234b84e20da3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2014</creationdate><topic>Analytical chemistry</topic><topic>Calibration</topic><topic>Computer simulation</topic><topic>Conventions</topic><topic>Estimates</topic><topic>Estimators</topic><topic>Intervals</topic><topic>Least squares method</topic><topic>Least-Squares Analysis</topic><topic>Limit of Detection</topic><topic>Mathematical analysis</topic><topic>Multivariate analysis</topic><topic>Simulation</topic><topic>Theory</topic><topic>Variables</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Allegrini, Franco</creatorcontrib><creatorcontrib>Olivieri, Alejandro C</creatorcontrib><collection>American Chemical Society (ACS) Open Access</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</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><collection>MEDLINE - Academic</collection><jtitle>Analytical chemistry (Washington)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Allegrini, Franco</au><au>Olivieri, Alejandro C</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>IUPAC-Consistent Approach to the Limit of Detection in Partial Least-Squares Calibration</atitle><jtitle>Analytical chemistry (Washington)</jtitle><addtitle>Anal. Chem</addtitle><date>2014-08-05</date><risdate>2014</risdate><volume>86</volume><issue>15</issue><spage>7858</spage><epage>7866</epage><pages>7858-7866</pages><issn>0003-2700</issn><eissn>1520-6882</eissn><coden>ANCHAM</coden><abstract>There is currently no well-defined procedure for providing the limit of detection (LOD) in multivariate calibration. Defining an estimator for the LOD in this scenario has shown to be more complex than intuitively extending the traditional univariate definition. For these reasons, although many attempts have been made to arrive at a reasonable convention, additional effort is required to achieve full agreement between the univariate and multivariate LOD definitions. In this work, a novel approach is presented to estimate the LOD in partial least-squares (PLS) calibration. Instead of a single LOD value, an interval of LODs is provided, which depends on the variation of the background composition in the calibration space. This is in contrast with previously proposed univariate extensions of the LOD concept. With the present definition, the LOD interval becomes a parameter characterizing the overall PLS calibration model, and not each test sample in particular, as has been proposed in the past. The new approach takes into account IUPAC official recommendations, and also the latest developments in error-in-variables theory for PLS calibration. Both simulated and real analytical systems have been studied for illustrating the properties of the new LOD concept.</abstract><cop>United States</cop><pub>American Chemical Society</pub><pmid>25008998</pmid><doi>10.1021/ac501786u</doi><tpages>9</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Analytical chemistry Calibration Computer simulation Conventions Estimates Estimators Intervals Least squares method Least-Squares Analysis Limit of Detection Mathematical analysis Multivariate analysis Simulation Theory Variables |
title | IUPAC-Consistent Approach to the Limit of Detection in Partial Least-Squares Calibration |
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