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Optimizing Biodegradable Starch-Based Composite Films Formulation for Wound-Dressing Applications

Author(s): Delavari MM; Ocampo I; Stiharu I;

This paper utilizes response surface methodology (RSM) design-based analyses to optimize starch-based wound dressings that were characterized based on weight loss (WL%), swelling index (SI%), and mechanical strength (TS). The wound-dressing materials were prepared by employing a modified casting method, using various concentrations of starch (0.5-2 w/w%), ...

Article GUID: 36557445


Comparative Evaluation of Artificial Neural Networks and Data Analysis in Predicting Liposome Size in a Periodic Disturbance Micromixer

Author(s): Ocampo I; López RR; Camacho-León S; Nerguizian V; Stiharu I;

Artificial neural networks (ANN) and data analysis (DA) are powerful tools for supporting decision-making. They are employed in diverse fields, and one of them is nanotechnology; for example, in predicting silver nanoparticles size. To our knowledge, we are the first to use ANN to predict liposome size (LZ). Liposomes are lipid nanoparticles used in diffe ...

Article GUID: 34683215


Surface Response Based Modeling of Liposome Characteristics in a Periodic Disturbance Mixer.

Author(s): López RR, Ocampo I, Sánchez LM, Alazzam A, Bergeron KF, Camacho-León S, Mounier C, Stiharu I, Nerguizian V

Micromachines (Basel). 2020 Feb 25;11(3): Authors: López RR, Ocampo I, Sánchez LM, Alazzam A, Bergeron KF, Camacho-León S, Mounier C, Stiharu I, Nerguizian V

Article GUID: 32106424


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