Título: Study of hydration kinetics of tissue-mimicking hydrogels

Autor: Navarro Sabater, Érika

Resumen:

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[ES] Implementació i comparació de models mitjançant xarxes neuronals per a l'observació i predicció del comportament dels hidrogels en la porositat dels teixits a partir de dades registrades. L'estudi tracta d'analitzar les dades sobre el comportament dels hidrogels en els porus de teixits tous mitjançant l'elaboració de xarxes neuronals en MATLAB que puguen predir aquest comportament. La finalitat de l'estudi és ajudar als investigadors que han recollit les dades sobre els hidrogels i la porositat a saber com interpretar-les i relacionar-les.

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[EN] Implementation and comparison of models using neural networks for the observation and prediction of hydrogel behavior in tissue porosity based on recorded data. The study aims to analyze the data on hydrogel behavior in the pores of soft tissues by developing neural networks in MATLAB that can predict this behavior. The purpose of the study is to assist researchers who have collected data on hydrogels and porosity in understanding how to interpret and relate these data.

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[EN] Hydrogels are materials with the capacity to absorb and release significant amounts of fluid in response to externa lfactors such as mechanical stress, pH changes ,or temperature variations. This propertyi is utilized in applications like drug deliver yan dimpurity absorption.The fluid absorption processis called swelling or hydration,andi tsr everse is known as deswelling or dehydration. This study evaluates several lmodels for characterizing the deswelling behavior of hydrogels, including the First-Order Kinetic Model,Fickian Diffusion Model, Non-Fickian Diffusion Model, Double Exponential Non-Linear Regression Model, BrokenS tick Model, and Polynomial Model (2ndDegree). Among these, the Polynomial Model (2nd Degree) proved to be the most effective in capturing deswelling dynamics ,providing superiorf it quality. Future research could explore applying these model s to different hydrogels or conditions to further enhance their practical applicability.

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URI: http://hdl.handle.net/10251/211640

Fecha: 2024-11-13

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