Clemente-Suárez Vicente Javier, Bustamante-Sanchez Alvaro, Rubio-Zarapuz Alejandro, Martín-Rodríguez Alexandra, Tornero-Aguilera José Francisco, Beltrán-Velasco Ana Isabel
Faculty of Medicine, Health and Sports, Universidad Europea de Madrid, Villaviciosa de Odón, 28670 Madrid, Spain.
Grupo de Investigación en Cultura, Educación y Sociedad, Universidad de La Costa, Barranquilla 080002, Colombia.
Biomimetics (Basel). 2025 Jul 1;10(7):426. doi: 10.3390/biomimetics10070426.
Biomimetic strategies have gained increasing attention for their ability to enhance the delivery, stability, and functionality of nutraceuticals by emulating natural biological systems. However, the literature remains fragmented, often focusing on isolated technologies without integrating regulatory, predictive, or translational perspectives.
This review aims to provide a comprehensive and multidisciplinary synthesis of biomimetic and bio-inspired nanocarrier strategies for nutraceutical delivery, while identifying critical gaps in standardization, scalability, and clinical translation.
We present a structured classification matrix that maps biomimetic delivery systems by material type, target site, and bioactive compound class. In addition, we analyze predictive design tools (e.g., PBPK modeling and AI-based formulation), regulatory frameworks (e.g., EFSA, FDA, and GSRS), and risk-driven strategies as underexplored levers to accelerate innovation. The review also integrates ethical and environmental considerations, and highlights emerging trends such as multifunctional hybrid systems and green synthesis routes.
By bridging scientific, technological, and regulatory domains, this review offers a novel conceptual and translational roadmap to guide the next generation of biomimetic nutraceutical delivery systems. It addresses key bottlenecks and proposes integrative strategies to enhance design precision, safety, and scalability.
仿生策略因其能够通过模拟自然生物系统来提高营养保健品的递送、稳定性和功能性而受到越来越多的关注。然而,文献仍然零散,往往侧重于孤立的技术,而没有整合监管、预测或转化方面的观点。
本综述旨在对用于营养保健品递送的仿生和受生物启发的纳米载体策略进行全面的多学科综合,同时找出标准化、可扩展性和临床转化方面的关键差距。
我们提出了一个结构化的分类矩阵,该矩阵按材料类型、靶位点和生物活性化合物类别对仿生递送系统进行了映射。此外,我们分析了预测性设计工具(如PBPK建模和基于人工智能的制剂)、监管框架(如欧洲食品安全局、美国食品药品监督管理局和全球食品安全倡议)以及风险驱动策略,这些都是加速创新的未充分探索的杠杆。该综述还整合了伦理和环境方面的考虑,并突出了多功能混合系统和绿色合成路线等新兴趋势。
通过弥合科学、技术和监管领域之间的差距,本综述提供了一个新颖的概念和转化路线图,以指导下一代仿生营养保健品递送系统。它解决了关键瓶颈问题,并提出了综合策略以提高设计精度、安全性和可扩展性。