2014
DOI: 10.1016/j.chroma.2014.03.077
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Bioanalytical chromatographic method validation according to current regulations, with a special focus on the non-well defined parameters limit of quantification, robustness and matrix effect

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Cited by 198 publications
(120 citation statements)
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“…The fundamental challenge, however, is to find the best analytical conditions for validating the method (i.e. the method is precise and accurate and produces reliable quantitative data for target metabolites in a specific matrix) prior to its implementation in routine analyses [47][48][49]. Nonetheless, one main aspect common to most analytical validation methods is the attempt to maximize the number of known metabolites that can be quantitatively measured in a single study.…”
Section: Analytical Methods Validation For Quantitative Plant Metabolomentioning
confidence: 99%
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“…The fundamental challenge, however, is to find the best analytical conditions for validating the method (i.e. the method is precise and accurate and produces reliable quantitative data for target metabolites in a specific matrix) prior to its implementation in routine analyses [47][48][49]. Nonetheless, one main aspect common to most analytical validation methods is the attempt to maximize the number of known metabolites that can be quantitatively measured in a single study.…”
Section: Analytical Methods Validation For Quantitative Plant Metabolomentioning
confidence: 99%
“…On the other hand, inter-day precision reflects small variations in the experimental or operational conditions from repetitive analysis of the same sample within different days [ The accuracy reflects the closeness of agreement between the true value of the analyte concentration and the mean result obtained by applying the analytical method (i.e. reliable quantification) [48,54,57]. In plant metabolomics studies, where no reference materials with known metabolite concentrations are available, the accuracy of the analytical method can be assessed by determining the analytical recoveries of authentic standards or isotopically labelled metabolites spiked into the plant matrix ( §3f) [56].…”
Section: (C) Methods Precision and Accuracymentioning
confidence: 99%
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“…[56,63,64]. An overview of these agencies is reviewed by Wille et al and Gonzalez et al [63,64]. The variation on sample precision, accuracy, recovery and MEs should always be below 15% or 20% when working against the limit of quantification (LOQ) [63].…”
Section: (B) Methods Validationmentioning
confidence: 99%
“…Finally, validation experiments can be performed by a different operator to assess robustness [62]. [56,63,64]. An overview of these agencies is reviewed by Wille et al and Gonzalez et al [63,64].…”
Section: (B) Methods Validationmentioning
confidence: 99%