Being Uncertain in Chromatographic Calibration—Some Unobvious Details in Experimental Design
This is an introductory tutorial and review about the uncertainty problem in chromatographic calibration. It emphasizes some unobvious, but important details influencing errors in the calibration curve estimation, uncertainty in prediction, as well as the connections and dependences between them, al...
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2021
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oai:doaj.org-article:da6d7c86d2684ab586d4cb1405514b462021-11-25T18:29:20ZBeing Uncertain in Chromatographic Calibration—Some Unobvious Details in Experimental Design10.3390/molecules262270351420-3049https://doaj.org/article/da6d7c86d2684ab586d4cb1405514b462021-11-01T00:00:00Zhttps://www.mdpi.com/1420-3049/26/22/7035https://doaj.org/toc/1420-3049This is an introductory tutorial and review about the uncertainty problem in chromatographic calibration. It emphasizes some unobvious, but important details influencing errors in the calibration curve estimation, uncertainty in prediction, as well as the connections and dependences between them, all from various perspectives of uncertainty measurement. Nonuniform D-optimal designs coming from Fedorov theorem are computed and presented. As an example, all possible designs of 24 calibration samples (3–8, 4–6, 6–4, 8–3 and 12–2, both uniform and D-optimal) are compared in context of many optimality criteria. It can be concluded that there are only two independent (orthogonal, but slightly complex) trends in optimality of these designs. The conclusions are important, as the uniform designs with many concentrations are not the best choices, contrary to some intuitive perception. Nonuniform designs are visibly better alternative in most calibration cases.Łukasz KomstaKatarzyna Wicha-KomstaTomasz KockiMDPI AGarticlecalibrationoptimalityregressionchemometricsexperimental designuncertaintyOrganic chemistryQD241-441ENMolecules, Vol 26, Iss 7035, p 7035 (2021) |
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calibration optimality regression chemometrics experimental design uncertainty Organic chemistry QD241-441 |
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calibration optimality regression chemometrics experimental design uncertainty Organic chemistry QD241-441 Łukasz Komsta Katarzyna Wicha-Komsta Tomasz Kocki Being Uncertain in Chromatographic Calibration—Some Unobvious Details in Experimental Design |
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This is an introductory tutorial and review about the uncertainty problem in chromatographic calibration. It emphasizes some unobvious, but important details influencing errors in the calibration curve estimation, uncertainty in prediction, as well as the connections and dependences between them, all from various perspectives of uncertainty measurement. Nonuniform D-optimal designs coming from Fedorov theorem are computed and presented. As an example, all possible designs of 24 calibration samples (3–8, 4–6, 6–4, 8–3 and 12–2, both uniform and D-optimal) are compared in context of many optimality criteria. It can be concluded that there are only two independent (orthogonal, but slightly complex) trends in optimality of these designs. The conclusions are important, as the uniform designs with many concentrations are not the best choices, contrary to some intuitive perception. Nonuniform designs are visibly better alternative in most calibration cases. |
format |
article |
author |
Łukasz Komsta Katarzyna Wicha-Komsta Tomasz Kocki |
author_facet |
Łukasz Komsta Katarzyna Wicha-Komsta Tomasz Kocki |
author_sort |
Łukasz Komsta |
title |
Being Uncertain in Chromatographic Calibration—Some Unobvious Details in Experimental Design |
title_short |
Being Uncertain in Chromatographic Calibration—Some Unobvious Details in Experimental Design |
title_full |
Being Uncertain in Chromatographic Calibration—Some Unobvious Details in Experimental Design |
title_fullStr |
Being Uncertain in Chromatographic Calibration—Some Unobvious Details in Experimental Design |
title_full_unstemmed |
Being Uncertain in Chromatographic Calibration—Some Unobvious Details in Experimental Design |
title_sort |
being uncertain in chromatographic calibration—some unobvious details in experimental design |
publisher |
MDPI AG |
publishDate |
2021 |
url |
https://doaj.org/article/da6d7c86d2684ab586d4cb1405514b46 |
work_keys_str_mv |
AT łukaszkomsta beinguncertaininchromatographiccalibrationsomeunobviousdetailsinexperimentaldesign AT katarzynawichakomsta beinguncertaininchromatographiccalibrationsomeunobviousdetailsinexperimentaldesign AT tomaszkocki beinguncertaininchromatographiccalibrationsomeunobviousdetailsinexperimentaldesign |
_version_ |
1718411106798534656 |