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Separations

Conventional versus Extended Standard Addition Method: Determination of Capsaicinoids in Topical Creams by High-Performance Liquid Chromatography – Diode Array Detection (HPLC-DAD)

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Pages 200-215 | Received 02 Dec 2021, Accepted 10 Feb 2022, Published online: 04 Mar 2022
 

Abstract

External standard calibration is the most common approach used to calculate the unknown concentration of analytes in analytical procedures. However, this method is accurate only if the matrix can be reproduced in the standard samples or if there are no significant interferences in the sample. A well-known calibration method that was proposed especially for the analysis of samples with matrix effects is conventional standard addition method (SAM) which implies adding known and increasing quantities of the analyte to portions of the sample. Despite its benefit of constant matrix effect in the calibration standards, SAM has been frequently shown to be a suboptimal approach with flaws that include extrapolation prediction and thus wider confidence intervals and non-linearity at lower concentrations. Recently, new approaches have been proposed to overcome these shortcomings, including extension of the SAM by blank addition, a geometric alternative for interpolation, and even a new mathematical alternative. Herein, we applied an alternative to extend the SAM method, for semisolid samples with unavailable blank, by adding more samples with lower mass than the unknown in the SAM, and thus extending measurable points below the intercept. This approach was applied for capsaicinoid determination in topical creams after liquid-liquid microextraction, followed by high performance liquid chromatography with diode array detection (HPLC-DAD). Microextraction of the capsaicinoids was optimized in terms of pH, solvent type, vortexing and extraction times. The method appeared to significantly improve the precision, limit of detection, and lead to reduced bias compared to conventional SAM.

Additional information

Funding

This work was supported by a grant from the Ministry of Research, Innovation and Digitization, CNCS/CCCDI—UEFISCDI, project number TE-2019-1396, within PNCDI III.

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