Graphene-Based Engineered Living Materials

SMALL METHODS(2024)

引用 0|浏览2
暂无评分
摘要
With the rise of engineered living materials (ELMs) as innovative, sustainable and smart systems for diverse engineering and biological applications, global interest in advancing ELMs is on the rise. Graphene-based nanostructures can serve as effective tools to fabricate ELMs. By using graphene-based materials as building units and microorganisms as the designers of the end materials, next-generation ELMs can be engineered with the structural properties of graphene-based materials and the inherent properties of the microorganisms. However, some challenges need to be addressed to fully take advantage of graphene-based nanostructures for the design of next-generation ELMs. This work covers the latest advances in the fabrication and application of graphene-based ELMs. Fabrication strategies of graphene-based ELMs are first categorized, followed by a systematic investigation of the advantages and disadvantages within each category. Next, the potential applications of graphene-based ELMs are covered. Moreover, the challenges associated with fabrication of next-generation graphene-based ELMs are identified and discussed. Based on a comprehensive overview of the literature, the primary challenge limiting the integration of graphene-based nanostructures in ELMs is nanotoxicity arising from synthetic and structural parameters. Finally, we present possible design principles to potentially address these challenges. This work provides a comprehensive overview of the latest scientific advancements in the design and fabrication of graphene-based engineered living materials (ELMs). Four main methodologies for the fabrication of these ELMs are recognized and discussed in detail. Moreover, potential engineering applications and design principles for next-generation graphene-based ELMs are overviewed.image
更多
查看译文
关键词
engineered living materials,graphene-based nanostructures,living graphene hydrogels,smart living materials
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要