Nanobiotechnology approaches for engineering smart plant sensors

纳米生物技术 纳米技术 接口 计算机科学 精准农业 纳米传感器 材料科学 系统工程 工程类 农业 计算机硬件 生物 生态学 纳米颗粒
作者
Juan Pablo Giraldo,Honghong Wu,Gregory M. Newkirk,Sebastian Kruss
出处
期刊:Nature Nanotechnology [Nature Portfolio]
卷期号:14 (6): 541-553 被引量:590
标识
DOI:10.1038/s41565-019-0470-6
摘要

Nanobiotechnology has the potential to enable smart plant sensors that communicate with and actuate electronic devices for improving plant productivity, optimize and automate water and agrochemical allocation, and enable high-throughput plant chemical phenotyping. Reducing crop loss due to environmental and pathogen-related stresses, improving resource use efficiency and selecting optimal plant traits are major challenges in plant agriculture industries worldwide. New technologies are required to accurately monitor, in real time and with high spatial and temporal resolution, plant physiological and developmental responses to their microenvironment. Nanomaterials are allowing the translation of plant chemical signals into digital information that can be monitored by standoff electronic devices. Herein, we discuss the design and interfacing of smart nanobiotechnology-based sensors that report plant signalling molecules associated with health status to agricultural and phenotyping devices via optical, wireless or electrical signals. We describe how nanomaterial-mediated delivery of genetically encoded sensors can act as tools for research and development of smart plant sensors. We assess performance parameters of smart nanobiotechnology-based sensors in plants (for example, resolution, sensitivity, accuracy and durability) including in vivo optical nanosensors and wearable nanoelectronic sensors. To conclude, we present an integrated and prospective vision on how nanotechnology could enable smart plant sensors that communicate with and actuate electronic devices for monitoring and optimizing individual plant productivity and resource use.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
wangjg发布了新的文献求助10
刚刚
siyue发布了新的文献求助10
1秒前
Cyril完成签到,获得积分10
1秒前
温婉的不弱完成签到,获得积分10
1秒前
DW应助Su采纳,获得10
2秒前
哭热完成签到,获得积分10
2秒前
gurdeva发布了新的文献求助10
3秒前
BZPL发布了新的文献求助30
3秒前
6666发布了新的文献求助50
3秒前
闷油瓶完成签到,获得积分10
4秒前
Chouvikin完成签到,获得积分0
5秒前
小水发布了新的文献求助30
6秒前
6秒前
奇异果完成签到,获得积分10
7秒前
7秒前
许栩应助孤独的元枫采纳,获得10
7秒前
7秒前
7秒前
桐桐应助PJR采纳,获得10
8秒前
8秒前
欧小乐发布了新的文献求助10
8秒前
浩男发布了新的文献求助10
9秒前
生活散文完成签到,获得积分10
10秒前
Starvotary完成签到,获得积分10
10秒前
10秒前
真实的曼柔完成签到,获得积分10
11秒前
小玲子发布了新的文献求助10
11秒前
TH完成签到,获得积分10
12秒前
12秒前
Juvenilesy应助ergatoid采纳,获得10
13秒前
14秒前
wanci应助迅速的蜗牛采纳,获得10
14秒前
15秒前
15秒前
科研通AI6.4应助zzw采纳,获得10
15秒前
16秒前
好难下载完成签到,获得积分10
16秒前
17秒前
星辰大海应助小玲子采纳,获得10
17秒前
18秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Principles of town planning: translating concepts to applications 1000
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
核安全综合知识2024版 500
Photothermal Science and Techniques 500
Essentials of Carbohydrate Chemistry and Biochemistry, 4th Edition 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7718665
求助须知:如何正确求助?哪些是违规求助? 9272662
关于积分的说明 20092994
捐赠科研通 7294618
什么是DOI,文献DOI怎么找? 3299512
关于科研通互助平台的介绍 2453387
邀请新用户注册赠送积分活动 2306840