AI 中文总结
该研究针对塑料酶促回收中半结晶球晶难降解的问题，采用数值方法预测PET降解后残留颗粒的形态与分布，为选择过滤、絮凝等下游处理提供依据，助力酶促解聚技术发展。
AI 中文摘要
塑料的酶促回收受半结晶球晶的限制，这些球晶对酶促解聚具有抵抗性。根据废物流的质量及其处理历史，很大一部分材料实际上以这些球晶的连接簇形式残留。我们基于最近发表的数值方法，预测这些簇的数量、连通性和形态作为酶促降解的结果。当应用于PET废料时，我们的方法预测所得聚集体为松散连接的“蓬松”结构，具有高比表面积，同时还有较小的簇遵循连续尺寸分布。通过提供定量框架来理解解聚过程中微粒的产生，这些发现应有助于选择合适的下游处理方法，如过滤或絮凝。因此，这项工作有望推动酶促解聚技术的发展。
英文摘要
Enzymatic recycling of plastics is limited by the presence of semi-crystalline spherulites that are recalcitrant to enzymatic depolymerization. Depending on the quality of the waste stream and its treatment history, a large volume fraction of the material actually remains in form of connected clusters of such spherulites. We build on a recently published numeric method to predict the number, the connectivity, and the morphology of these clusters as an outcome of enzymatic degradation. When applied to PET waste, our method predicts that the resulting aggregates are loosely connected, "fluffy" structures with a high surface-to-volume ratio, accompanied by smaller clusters following a continuous size distribution. By providing a quantitative framework for understanding the microparticle production during the depolymerization, these findings should assist choosing a suitable downstream treatment, such as filtering or flocculation. This work could thus help to advance the enzymatic depolymerization technologies.
Comments12 pages, 11 figures, 2 tables. Regular article
Journal refMacromolecules 59 (18) 10304-10314 (2026)
DOI：10.1021/acs.macromol.6c01357
