纳米医学
纳米载体
计算机科学
纳米技术
农业
可持续农业
领域(数学)
风险分析(工程)
生化工程
数据科学
业务
工程类
药物输送
材料科学
生态学
生物
数学
纳米颗粒
纯数学
作者
Gregory V. Lowry,Juan Pablo Giraldo,Nicole F. Steinmetz,Astrid Avellan,Gözde S. Demirer,Kurt D. Ristroph,Gerald Wang,Christine Ogilvie Hendren,Christopher A. Alabi,Adam A. Caparco,Washington da Silva,Ivonne González‐Gamboa,Khara Grieger,Su‐Ji Jeon,Mariya V. Khodakovskaya,Hagay Kohay,Vivek Kumar,Raja Muthuramalingam,Hanna Poffenbarger,Swadeshmukul Santra,Robert D. Tilton,Jason C. White
标识
DOI:10.1038/s41565-024-01667-5
摘要
Nanocarriers (NCs) that can precisely deliver active agents, nutrients and genetic materials into plants will make crop agriculture more resilient to climate change and sustainable. As a research field, nano-agriculture is still developing, with significant scientific and societal barriers to overcome. In this Review, we argue that lessons can be learned from mammalian nanomedicine. In particular, it may be possible to enhance efficiency and efficacy by improving our understanding of how NC properties affect their interactions with plant surfaces and biomolecules, and their ability to carry and deliver cargo to specific locations. New tools are required to rapidly assess NC–plant interactions and to explore and verify the range of viable targeting approaches in plants. Elucidating these interactions can lead to the creation of computer-generated in silico models (digital twins) to predict the impact of different NC and plant properties, biological responses, and environmental conditions on the efficiency and efficacy of nanotechnology approaches. Finally, we highlight the need for nano-agriculture researchers and social scientists to converge in order to develop sustainable, safe and socially acceptable NCs. Nanocarrier delivery has huge potential in agriculture; however, there are significant scientific and societal barriers to overcome. In this Review, the authors explore the state of the field, what lessons can be learned from nanomedicine, and discuss what scientific and societal issues need to be addressed.
科研通智能强力驱动
Strongly Powered by AbleSci AI