Validation of a Method for the Determination of Artificial Sweeteners and Caffeine in Soft Drinks: The Impact of Regression Function Selection on Quantification Limits Considering Trueness and Precision

Validation of a Method for the Determination of Artificial Sweeteners and Caffeine in Soft Drinks: The Impact of Regression Function Selection on Quantification Limits Considering Trueness and Precision

Background: Method quantification limits are typically determined by measuring variability at blank level only, without accounting for the uncertainties associated with the parameters of the calibration function applied. Methods: A method for the determination of artificial sweeteners and caffeine i...

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Bibliographic Details
Main Authors: Natàlia Hernández, Juan M. Sanchez
Format: Article
Language:English
Published: MDPI AG 2025-07-01
Series:Separations
Subjects:
quantification limit
heteroscedasticity
regression function
validation
uncertainty
Online Access:https://www.mdpi.com/2297-8739/12/7/176
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