What is it about?
This study focuses on the fabrication and characterization of innovative hybrid bionanocomposites composed of poly(3-hydroxybutyrate-co-3-hydroxyvalerate) (PHBV) combined with zinc oxide (ZnO) and silicon-doped hydroxyapatite (SiHAP) nanocrystals. Various Machine learning (ML) algorithms were applied to model the dynamic mechanical properties of nanocomposites based on experimental data. The study shows that these models provide accurate insights into the dynamic mechanical behavior of nanocomposites, offering a reliable method for optimizing their properties.
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Why is it important?
Producing hybrid materials with both bioactive and antimicrobial properties is highly desirable for biomedical applications. When these are combined within a biodegradable and biocompatible polymer matrix, it results in a versatile, multifunctional resource. Recent research has demonstrated an increased focus on PHBV composites with individual nanoparticles. However, there is a notable gap in the literature regarding nanocomposites that incorporate both ZnO and HAP particles concurrently.
Perspectives
I hope this article transforms health economics and healthcare metrics from what might seem like a dry, abstract topic into something interesting and exciting. After all, spending on health and social is an issue that affects every person on this planet. Above all, I hope this article makes you think.
Professor Mualla Öner
Yildiz Technical University
Read the Original
This page is a summary of: Development of hybrid bionanocomposites of poly(3-hydroxybutyrate-co-3-hydroxyvalerate) with zinc oxide and silicon-doped hydroxyapatite nanocrystals and machine learning for predicting dynamic mechanical properties, International Journal of Biological Macromolecules, March 2025, Elsevier,
DOI: 10.1016/j.ijbiomac.2024.139338.
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