Application of the Life Cycle Management of Analytical methods concept to a HPTLC-DPPH assay method for acteoside content in industrial extracts of Plantago lanceolata L

•Analytical Methods’ Life Cycle Management concept can be applied to HPTLC.•Effect directed HPTLC-DPPH is a powerful technique for potency assay of plants.•Weighted linear calibration can improve the HPTLC methods’ performance parameters.•Total Analytical Error and Measurement Uncertainty are key pe...

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Published in:Journal of chromatography. B, Analytical technologies in the biomedical and life sciences Vol. 1181; p. 122923
Main Authors: Roussel, J.M., Bardot, V., Berthomier, L., Cotte, C., Dubourdeaux, M., Holowacz, S., Bernard-Savary, P.
Format: Journal Article
Language:English
Published: Netherlands Elsevier B.V 01-09-2021
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Summary:•Analytical Methods’ Life Cycle Management concept can be applied to HPTLC.•Effect directed HPTLC-DPPH is a powerful technique for potency assay of plants.•Weighted linear calibration can improve the HPTLC methods’ performance parameters.•Total Analytical Error and Measurement Uncertainty are key performance indicators. Analytical methods used for quality control of plants and plant extracts are based on the identification and quantification of chemical markers to manage batch reproducibility and efficacy. The aim of this work was to assess the performance of a High Performance Thin Layer Chromatography (HPTLC) method developed for quality control of industrial dry extracts of ribwort plantain (P. lanceolata L.), using 2,2-diphenyl 1-picrylhydrazyle (DPPH) effect directed chemical reaction for antioxidant activity of acteoside, a phenylethanoid glycoside commonly used as a marker for P. lanceolata L., and to demonstrate the applicability of the Life Cycle Management of Analytical Methods concept to quantitative HPTLC-DPPH methods. The first step was the determination of the Analytical Target Profile (ATP) and Target Measurement Uncertainty (TMU), taking into account the quality control requirements for such extracts and the detection method applicable range. Once the desired range was established, an evaluation of the calibration function was conducted using several calibration models. Due to the lack of reference samples, spiked samples were used to evaluate the accuracy of the method by means of Total Analytical Error (TAE) determination, using prediction intervals calculation for the selected calibration functions. Measurement Uncertainty (MU) was also estimated, allowing the final choice of the calibration function to be used for quality control, giving the most fit for purpose performance level in accordance with the product specifications. As Life Cycle Management of the method also includes its routine use, the Measurement Uncertainty was checked on spiked and unspiked extract samples with different dilution levels, in order to verify the accordance of results between spiked and unspiked samples and to prepare a replication strategy to be applied during the routine use of the method.
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ISSN:1570-0232
1873-376X
DOI:10.1016/j.jchromb.2021.122923