| Téléchargement | - Voir la version de l’auteur : Application of regression methods to solve general isotope dilution measurement equations (PDF, 4.9 Mio)
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| DOI | Trouver le DOI : https://doi.org/10.1088/1681-7575/ab6b3d |
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| Auteur | Rechercher : Meija, Juris1Identifiant ORCID : https://orcid.org/0000-0002-3349-5535; Rechercher : McRae, Garnet1; Rechercher : Pagliano, Enea1 |
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| Affiliation | - Conseil national de recherches du Canada. Centre de recherche en métrologie
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| Format | Texte, Article |
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| Sujet | isotope dilution; least squares methods; graphical approach |
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| Résumé | Isotope dilution is among the most accurate quantitation approaches in chemical analysis. This calibration method is often employed using a plurality of mathematical formulations. While most analysts find the calibration curve approach most appealing, there is a lack of rigorous general procedures involving calibration curves in isotope dilution and analysts resort to empirical polynomial calibration functions. In this contribution we discuss the adoption of regression analysis, commonly known as least squares methods, to solve isotope dilution equations of varied complexity. This manuscript introduces general regression-based methods to isotope dilution applicable to all known variants of classical isotope dilution known to date, including the fusion of the isotope dilution and standard additions methods. |
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| Date de publication | 2020-03-19 |
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| Maison d’édition | IOP |
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| Dans | |
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| Langue | anglais |
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| Publications évaluées par des pairs | Oui |
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| Exporter la notice | Exporter en format RIS |
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| Signaler une correction | Signaler une correction (s'ouvre dans un nouvel onglet) |
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| Identificateur de l’enregistrement | 416bf966-041f-4650-a1e8-e47b3c52bfd6 |
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| Enregistrement créé | 2020-05-27 |
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| Enregistrement modifié | 2020-05-27 |
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