2024-03-29T14:28:17Zhttp://digital.csic.es/dspace-oai/requestoai:digital.csic.es:10261/1749572020-12-13T09:04:36Zcom_10261_56com_10261_3col_10261_309
2019-01-30T12:10:06Z
urn:hdl:10261/174957
Melt-processing of bionanocomposites based on ethylene-co-vinyl acetate and starch nanocrystals
Sessini, Valentina
Raquez, Jean-Marie
Kenny, José María
Dubois, Philippe
Peponi, Laura
Ministerio de Economía, Industria y Competitividad (España)
Solvent-free process
Melt-processing
EVA
Hydrogen bonding
Starch nanocrystals
Starch nanocrystals (SNCs) were successfully synthesized by acid hydrolysis of waxy barley starch and were characterized by X-ray diffraction, scanning and transmission electron microscopy. Nanocomposites based on ethylene-co-vinyl acetate (EVA) and SNCs were produced by melt-processing using a microextruder. Interesting is to note that SNCs do not lose their crystalline nature during melt-processing. Moreover, the mechanical and thermal properties of the neat matrix were improved by the addition of SNCs thanks to the strong hydrogen bonding between the nanofillers surface and the acetate groups of the matrix. The introduction of 2 wt.% and 5 wt.% of SNCs into the matrix, lead to an increase of its elastic modulus of about 50% and 100%, respectively. Moreover, the addition of SNCs provoked an increase of the thermal stability of about 10 °C respect to the neat matrix. These results clearly revealed the possibility to introduce SNCs in a polymeric matrix by extrusion enabling to reach materials with enhanced mechanical and thermal properties due to beneficial hydrogen bonding between SNCs and EVA.
2019-01-30T12:10:06Z
2019-01-30T12:10:06Z
2019
2019-01-30T12:10:06Z
artículo
Carbohydrate Polymers 208: 382-390 (2019)
http://hdl.handle.net/10261/174957
10.1016/j.carbpol.2018.12.095
http://dx.doi.org/10.13039/501100010198
eng
http://dx.doi.org/10.1016/j.carbpol.2018.12.095
Sí
info:eu-repo/grantAgreement/MINECO/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/MAT2017-88123-P
closedAccess
Elsevier