面向植物生长监测的纳米传感器:工作机制与系统集成应用示例OA

The development of intelligent agriculture urgently needs to transcend traditional environ-mental monitoring to achieve precise and real-time perception of the internal physiological state of plants.Nano-sensors provide unprecedented technological tools for the in situ,non-destructive,and dynamic analy-sis of plant physiological processes due to its ultra-high sensitivity,excellent specificity,and good biocom-patibility with biological systems brought about by nanoscale effects.This article systematically reviewed the principles of design,material systems,and cutting-edge applications of nano-sensors for monitoring plant growth,with a focus on analyzing the mechanisms and efficacy of nano-sensors in the dynamic detec-tion of key physiological signaling molecules including H₂O₂,Ca²+,phytohormones within plants.The new challenges and emerging solutions presented by the unique properties of nano-sensing data including near-in-frared fluorescence imaging and high-frequency electrochemical signals for agricultural Internet of Things(IoT),data mining,and intelligent modeling were discussed.The full-chain integration pathway from data acquisition and intelligent processing to decision support was elaborated in detail by combining an example of an"Intelligent planting analysis system"that integrates multi-source nano-sensing data.The bottlenecks and development directions of nano-sensors in moving towards large-scale field applications in the future was systematically prospected from four dimensions including material innovation,intelligent anti-interfer-ence,system integration,and risk assessment.It will provide a solid theoretical reference for studying the intersection of intelligent agriculture and nanotechnology.