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The proposed methods were validated according to the ICH-guidelines for validation of the analytical procedures [20] in terms of the linearity, sensitivity, accuracy, specificity, repeatability and reproducibility.
The optimized conditions provided the resolution of all the analytes in less than 80 min. The primary validation of the analytical method gave limit of detection values ranging between 0.02 and 0.06 mg/l and very good linearity of the calibration curves.
ICH guidelines were followed for the validation of the analytical methods for precision, repeatability and accuracy.
The validation of the analytical method was performed by standard addition experiments.
Validation of the analytical method showed linearity over the range 25 1000 ng/ml (r>0.997).
Validation of the analytical method showed its capability to quantitatively determine nanoparticles at low concentrations.
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Numerical validations of the analytical finding are also presented.
Experimental illustration of the bandgap behavior of undulated beams, and numerical simulations of wave motion in plates serve as partial validations of the analytical predictions, and as demonstrations of the potential application of the concept for the design of structural components and elastic waveguides with tailored bandgap and directional properties.
These tests, as well as more general validations of the analytical framework [ 7, 42- 44], increase confidence that projections of niche dimensions across periods of environmental change will also have predictive power.
Validations of the analytical methods on urine (with and without enzymatic degradation) were also performed (full validation for glucuronides determination, partial validation for diosmetin quantification upon enzymatic digestion; data presented in Table 4).> Differential ion-mobility mass spectrometry (DMS) was finally used for the confirmation of 3- O-Gluc as major metabolite excreted in urine.
The validation of the final analytical methodology was performed using a matrix-matched calibration, in order to minimize matrix effects.
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