Sentence examples for quantification sensitivity from inspiring English sources

The quantification sensitivity was also improved in trace analysis, allowing six low compounds that cannot be quantified by the traditional methods to be tested by the filtering method.

It is important to note that the absolute detection limit is 0.00001%, but the actual quantification sensitivity limit is 0.1% with a 0.05 standard deviation.

Large systematic errors in quantification sensitivity impacted negatively on neither the reliability of ligand affinities nor the universal applicability of optimized conditions.

This method showed resistance to variations in chromatographic quantification sensitivity and concentration ratios; optimized conditions to validate the approximation equation could be applied to different mixture samples.

Given the presence of certain acylcarnitines having values below the lower limits of quantification, sensitivity analyses of PCA were performed with and without metabolites in which >25% of metabolite values were below the limits of quantification.

There were consistent results when an Agilent 1100 LC-MS system was used to analyze the same mixtures, or when the quantification sensitivity of the HPLC-MS system in use was reduced by 90% (data not given); these results supported the robustness of this method.

Uncertainty quantification and sensitivity analyses are a vital component for predictive modeling in the sciences and engineering.

Stochastic uncertainty quantification and sensitivity analysis were performed using the OPENCOSSAN software which is based on the Monte Carlo method.

This study focused on the uncertainty quantification and sensitivity analysis of complex chemical processes with a large number of uncertainties.

In this paper, non-intrusive polynomial chaos expansion (NIPCE) is used for forward uncertainty quantification and sensitivity analysis of thermoacoustic stability of two premixed flame configurations.

This paper proposes the application of generalized polynomial chaos (gPC -based approach for uncertainty quantification and sensitivity analysis of complex chemical processes.