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Novel Biobased Self‐Healing Ionomers Derived from Itaconic Acid Derivates
Macromolecular Rapid Communications ( IF 4.6 ) Pub Date : 2020-12-28 , DOI: 10.1002/marc.202000636
Josefine Meurer 1, 2 , Julian Hniopek 3, 4, 5 , Jan Dahlke 1, 2 , Michael Schmitt 3, 4 , Jürgen Popp 2, 3, 4, 5 , Stefan Zechel 1, 2 , Martin D Hager 1, 2
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This article presents novel biobased ionomers featuring self‐healing abilities. These smart materials are synthesized from itaconic acid derivates. Large quantities of itaconic acid can be produced from diverse biomass like corn, rice, and others. This study presents a comprehensive investigation of their thermal and mechanical properties via differential scanning calorimetry (DSC), thermo gravimetric analysis (TGA), and FT‐Raman and FT‐IR measurements as well as dynamic mechanic analysis. Within all these measurements, different kinds of structure‐property relationships could be derived from these measurements. For example, the proportion of ionic groups enormously influences the self‐healing efficiency. The investigation of the self‐healing abilities reveals healing efficiencies up to 99% in 2 h at 90 °C for the itaconic acid based ionomer with the lowest ionic content.

中文翻译:

衣康酸衍生物衍生的新型生物基自修复离聚物

本文介绍了具有自我修复能力的新型生物基离聚物。这些智能材料是由衣康酸衍生物合成的。衣康酸可以从玉米,大米等多种生物质中产生。这项研究通过差示扫描量热法(DSC),热重分析(TGA)以及FT-Raman和FT-IR测量以及动态力学分析,对它们的热和机械性能进行了全面研究。在所有这些度量中,可以从这些度量中得出不同种类的结构-属性关系。例如,离子基团的比例极大地影响了自愈效率。
更新日期:2020-12-28
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