Martina-DOE Project

Project Description

Optimization of a formulation for the preparation of alginate beads containing Spirulina and magnetic nanoparticles.


Experimental Design (DOE)

To understand how each component influences the final properties of the beads, an Extreme Vertices Mixture Design was employed. This statistical method is highly effective for optimizing formulations where components are subject to specific constraints.

The experiment is based on 4 mixture components and 1 process variable, evaluated over 38 experimental runs to construct a robust predictive model. The components and their respective ranges in the formulation (totaling 100%) are as follows:

  • Component A (Water): 70.2% - 99.0%
  • Component B (Alginate): 1.0% - 4.0%
  • Component C (Nanoparticles): 0.0% - 0.8%
  • Component D (Spiruline): 0.0% - 25.0%

The design matrix includes points at the vertices and centroids of the experimental region, with replications at the central point to ensure the accuracy of the quadratic model. Each analysis presented on this page utilizes the data from this DOE to generate contour plots, response surfaces, and statistical models. These results allow for the visualization of how variations in ingredient proportions impact the final properties of the beads, such as swelling capacity or magnetic response.

Ternary Plot 1
Ternary Plot 2 - Zoomed

Available Analyses

Swelling Analysis

Analysis of the swelling behavior of the alginate beads.

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Cell Viability

Evaluation of cellular survival within the beads.

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Young's Modulus

Analysis of the mechanical properties of the beads.

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Azoic Dye Absorption

Study of the absorption capacity for azoic dyes.

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Saturation Magnetization

Magnetic characterization of the nanoparticles.

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Coercive Field

Analysis of coercive magnetic properties.

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Magnetic Force

Measurement of applied magnetic forces.

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MNP Analysis

Analysis of magnetic nanoparticles.

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