4.8 Article

Real-time monitoring of plant stresses via chemiresistive profiling of leaf volatiles by a wearable sensor

期刊

MATTER
卷 4, 期 7, 页码 2553-+

出版社

CELL PRESS
DOI: 10.1016/j.matt.2021.06.009

关键词

-

资金

  1. NCSU Chancellor's Faculty Excellence Program
  2. Kenan Institute for Engineering, Technology and Science (KIETS)
  3. NCSU Game-Changing Research Incentive Program for the Plant Science Initiative (GRIP4PSI)
  4. NCSU Center for Human Health and the Environment (CHHE) Pilot Project Award
  5. USDA [2019-67030-29311]
  6. USDA APHIS Farm Bill grant [3.0096]
  7. NSF [1728370]
  8. National Natural Science Foundation of China [22076125]
  9. Natural Science Foundation of Guangdong Province [2021B1515020106]
  10. Guangdong Young Talents Project [2019KQNCX218]

向作者/读者索取更多资源

An innovative leaf-attachable sensor array has been developed for real-time diagnosis of plant diseases, achieving 97% classification accuracy of 13 individual plant volatiles. The sensor patch allows for rapid profiling of plant volatiles and early diagnosis of diseases like late blight within less than a week post inoculation.
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.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.8
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据