传感器阵列
枯萎病
可穿戴计算机
非生物成分
材料科学
疫病疫霉菌
计算机科学
生物
园艺
嵌入式系统
生态学
机器学习
作者
Zheng Li,Yuxuan Liu,Oindrila Hossain,Rajesh Paul,Shanshan Yao,Shuang Wu,Jean B. Ristaino,Yong Zhu,Qingshan Wei
出处
期刊:Matter
[Elsevier]
日期:2021-07-01
卷期号:4 (7): 2553-2570
被引量:128
标识
DOI:10.1016/j.matt.2021.06.009
摘要
Determination of plant stresses such as infections by plant pathogens is currently dependent on time-consuming and complicated analytical technologies. Here, we report a leaf-attachable chemiresistive sensor array for real-time fingerprinting of volatile organic compounds (VOCs) that permits noninvasive and early diagnosis of plant diseases, such as late blight caused by Phytophthora infestans. The imperceptible sensor patch integrates an array of graphene-based sensing materials and flexible silver nanowire electrodes on a kirigami-inspired stretchable substrate, which can minimize strain interference. The sensor patch has been mounted on live tomato plants to profile key plant volatiles at low-ppm concentrations with fast response (<20 s). The multiplexed sensor array allows for accurate detection and classification of 13 individual plant volatiles with >97% classification accuracy. The wearable sensor patch was used to diagnose tomato late blight as early as 4 days post inoculation and abiotic stresses such as mechanical damage within 1 h.
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