Polyacrylonitrile Flower-Like Particles with Tunable Size and Morphology via Scalable Oxygen-Tolerant Polymerization

聚合 单体 材料科学 聚合物 粒子(生态学) 化学工程 聚丙烯腈 惰性气体 粒径 微乳液 产量(工程) 纳米技术 溶剂 形态学(生物学) 高分子化学 惰性 工艺工程 纳米颗粒 乳液聚合
作者
Kostas Parkatzidis,Diego Uruchurtu Patino,Yuran Shi,Kuang‐Jung Hsu,Ines C. Weber,Hyun Suk Wang,Zhenan Bao
标识
DOI:10.26434/chemrxiv-2025-2969s
摘要

Polyacrylonitrile flower-like particles (PANFs), as hierarchical superstructures, have recently found applications in catalysis, batteries, sensing, and gas absorption. Yet, precise control over their size and morphology which dictate their properties remains challenging, as the role of reaction parameters in their formation is not well understood. Additionally, the production of PANFs can be challenging due to the current reaction conditions such as polymerization under inert atmosphere in superheated solvents, especially when higher scale is required. Here, we address these gaps in two directions. First, we establish how systematic control of key parameters—reaction temperature, initiator type and concentration, and solvent composition—enables predictable tuning of PANF dimensions and surface features. Second, we simplify the reaction by developing a low-temperature, oxygen-tolerant polymerization, which allows the preparation of PANFs without the need for any specialized equipment. As a result, we were able to control the key morphological parameters such as particle diameter, petal density, and petal roughness. By employing different initiators and polymerization temperatures we were able to produce PANFs with tunable size over an order of magnitude (~100–1300 nm). Petal density, roughness, and structural complexity were tuned over a wide range by initiator concentration, monomer conversion, solvent mixtures, and oxygen content, which emerged as a key parameter influencing both particle size and morphology. Finally, we establish a one-step, scalable, oxygen-tolerant protocol that enables safe, low-temperature PANF production with near-quantitative yield under ambient conditions. This study provides insights into PANF formation, introduces practical tools for morphological control, and delivers a robust platform for the scalable synthesis of complex polymer architectures.
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