Key Laboratory of Hebei Province for Molecular Biophysics, School of Health Sciences and Biomedical Engineering, Hebei University of Technology, Tianjin, 300401, P. R. China.
Institute of Biophysics, School of Science, Hebei University of Technology, Tianjin, 300401, P. R. China.
Small. 2023 May;19(18):e2207457. doi: 10.1002/smll.202207457. Epub 2023 Feb 3.
The combination of biomolecules and synthetic polymers provides an easy access to utilize advantages from both the synthetic world and nature. This is not only important for the development of novel innovative materials, but also promotes the application of biomolecules in various fields including medicine, catalysis, and water treatment, etc. Due to the rapid progress in synthesis strategies for polymer nanomaterials and deepened understanding of biomolecules' structures and functions, the construction of advanced polymer-based biohybrid nanostructures (PBBNs) becomes prospective and attainable. Polymerization-induced self-assembly (PISA), as an efficient and versatile technique in obtaining polymeric nano-objects at high concentrations, has demonstrated to be an attractive alternative to existing self-assembly procedures. Those advantages induce the focus on the fabrication of PBBNs via the PISA technique. In this review, current preparation strategies are illustrated based on the PISA technique for achieving various PBBNs, including grafting-from and grafting-through methods, as well as encapsulation of biomolecules during and subsequent to the PISA process. Finally, advantages and drawbacks are discussed in the fabrication of PBBNs via the PISA technique and obstacles are identified that need to be overcome to enable commercial application.
生物分子与合成聚合物的结合为利用合成世界和自然的优势提供了便捷途径。这不仅对新型创新材料的发展很重要,而且还促进了生物分子在包括医学、催化和水处理等各个领域的应用。由于聚合物纳米材料合成策略的快速发展以及对生物分子结构和功能的深入了解,先进的基于聚合物的生物杂化纳米结构(PBBNs)的构建变得有前景和可行。聚合诱导自组装(PISA)作为一种在高浓度下获得聚合纳米物体的有效且通用的技术,已被证明是现有自组装方法的一种有吸引力的替代方法。这些优势促使人们关注通过 PISA 技术制备 PBBNs。在本综述中,根据 PISA 技术说明了当前的制备策略,以实现各种 PBBNs,包括从接枝和接枝通过方法,以及在 PISA 过程中和之后封装生物分子。最后,讨论了通过 PISA 技术制备 PBBNs 的优缺点,并确定了需要克服的障碍,以实现商业应用。