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Multivariate techniques have been used for evaluation and characterization of analytical data (Fadigas et al. [2010]).
In complete prevalidation process, characterization of analytical groups, checking of two limiting groups, testing of data homogeneity, establishment of analytical functions, recognition of outliers, evaluation of limiting values and extraction of prevalidation parameters were included.
This system involved characterization of analytical groups; checking of two limiting groups; testing of data homogeneity; recognition of outliers; and determination of analytical functions, limiting values, precision and accuracy.
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Our study proved that experimental design methodology could efficiently be applied for characterization and optimization of analytical parameters affecting drug release and that it is an economical way of obtaining the maximum amount of information in a short period of time and with the fewest number of experiments.
We report on the design and characterization of a novel analytical sensing system for the detection and discrimination of various detergents.
According to De Vuyst et al. (1995), only three studies address quantification and characterization of MMVFs by analytical electron microscopy in lung samples of exposed workers.
A major consideration in product characterization is the set of analytical methods to be utilized.
This paper describes the conditions for the synthesis of AgNPs (by cells and by melanin isolated from the cells) and their characterization by a variety of analytical techniques.
This paper presents the development, characterization and quality control of analytical methods based on the use of disposable optical sensors for determination of heavy metals.
A number of analytical characterization tools have been used successfully in the past years to access various properties of nanotube materials, but lack of standards makes it difficult to compare these measurements across the board.
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