Structure–Property Relationships for Biodegradability in Copolyesters

共聚物 生物降解 聚合物 材料科学 碳纤维 高分子化学 聚酯纤维 高分子科学 化学工程 可生物降解聚合物 化学 化学结构 有机化学 化学改性 碳链
作者
Katharina A. Fransen,Julia Casey,Gabrielle Godbille‐Cardona,Natalie Mamrol,Jiale Shi,Alex Zappi,Jignesh S. Mahajan,Jiarui Lu,Debra J. Audus,Bradley D. Olsen
出处
期刊:Macromolecules [American Chemical Society]
标识
DOI:10.1021/acs.macromol.5c03562
摘要

With growing concerns about increasing plastic pollution, interest in biodegradable polymers, particularly polyesters, continues to grow. Copolymerization is an important molecular handle to tune properties to achieve material performance and biodegradation simultaneously. To better understand the structure–property relationships that govern biodegradability, a 300-member copolymer library was synthesized and tested using a high-throughput clear-zone biodegradation assay; testing shows over 80% of the copolymer library is biodegradable even though only 50% of the homopolymers from which they are derived are degradable. Repeat units with longer carbon backbones decreased biodegradability, though copolymers showed biodegradability at all average repeat unit lengths examined. For both homopolymers and copolymers, oxygen substitution of backbone carbons was established as a lever to improve biodegradability. A novel chemical similarity-informed embedding that considers polymer chemical structure and composition was developed and implemented for the simultaneous quantitative structure–property relationship modeling of homopolymers and copolymers. Random forest models could simultaneously capture homopolymer and copolymer behavior with 78% and 95% accuracy, respectively; however, models trained only on homopolymer data could not predict copolymer biodegradability. Unlike random forest models, linear models were not able to capture both homopolymer and copolymer biodegradability.
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