PLA Electrospun Fibers Reinforced with Organic and Inorganic Nanoparticles: A Comparative Study

Autor: Marcela Lieblich, Daniel López, Adrián Leonés, Marina P. Arrieta, Alicia Mujica-Garcia, Valentina Salaris, Laura Peponi, Jose Maria Kenny
Přispěvatelé: Ministerio de Economía y Competitividad (España), European Commission
Rok vydání: 2021
Předmět:
Zdroj: Molecules
Molecules, Vol 26, Iss 4925, p 4925 (2021)
Digital.CSIC. Repositorio Institucional del CSIC
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Volume 26
Issue 16
ISSN: 1420-3049
DOI: 10.3390/molecules26164925
Popis: In this work, different poly (lactic acid) (PLA)-based nanocomposite electrospun fibers, reinforced with both organic and inorganic nanoparticles, were obtained. As organic fibers, cellulose nanocrystals, CNC, both neat and functionalized by “grafting from” reaction, chitosan and graphene were used; meanwhile, hydroxyapatite and silver nanoparticles were used as inorganic fibers. All of the nanoparticles were added at 1 wt% with respect to the PLA matrix in order to be able to compare their effect. The main aim of this work was to study the morphological, thermal and mechanical properties of the different systems, looking for differences between the effects of the addition of organic or inorganic nanoparticles. No differences were found in either the glass transition temperature or the melting temperature between the different electrospun systems. However, systems reinforced with both neat and functionalized CNC exhibited an enhanced degree of crystallinity of the electrospun fibers, by up to 12.3%. From a mechanical point of view, both organic and inorganic nanoparticles exhibited a decreased elastic modulus and tensile strength in comparison to neat electrospun PLA fibers, improving their elongation at break. Furthermore, all of the organic and inorganic reinforced systems disintegrated under composting conditions after 35 days.
The authors thank the Spanish Ministry of Economy, Industry and Competitive- ness (MINEICO) (MAT2017-88123-P, POLYMAGIC: (PCIN-2017-036) cofinanced with EU FEDER funds
Databáze: OpenAIRE