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In this work, we have shown that the addition of type I collagen into alginate microspheres, systematically optimized by a multivariate experimental design, improves the biocompatibility of the microspheres towards induced pluripotent stem cells (iPS), cardiomyocytes, and blood outgrowth endothelial cells (BOEC), whilst improving diffusion between outside environment and the inner sphere.
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A series of three-element mixed oxides (IA)x IIA yAlOz was prepared by sol gel method, adopting a multivariate experimental design strategy in order to explore in a rational way the effects of preparation parameters on textural and basic properties.
The system was optimized with respect to signal/noise ratio using a multivariate experimental design.
Response surface methodology (RS M, a multivariate experimental design technique, was used to optimize experimental parameters affecting the extraction efficiency in detail.
A comparative study of these two processes was done by using multivariate experimental design including the following variables: pH and initial concentrations of Fe(II), oxalic acid, H2O2 and OII.
Experimental conditions were optimized by multivariate experimental design approaches.
Configural frequency analysis (CFA) is a procedure for analyzing multivariate cross-classifications that can be used in a wide range of multivariate experimental designs.
TiO2-photocatalytic degradation of a cellulose ECF effluent was evaluated using multivariate experimental design.
As the target contaminants possess a wide range of physical-chemical properties, multivariate experimental design was used for method optimization.
The multivariate experimental design was employed to establish a quadratic model as a functional relationship between the degradation rate of CAP and three experimental parameters.
A multivariate approach (experimental design) was used for the optimization of both sample preparation methods.
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