Wearable patch monitors plants for disease and stress

The sensor patch sits on a plant's leaf

Researchers have developed a new patch that plants can “wear” to continuously monitors for diseases or other stresses, such as crop damage or extreme heat.

“We’ve created a wearable sensor that monitors plant stress and disease in a noninvasive way by measuring the volatile organic compounds (VOCs) emitted by plants,” says Qingshan Wei, assistant professor of chemical and biomolecular engineering at North Carolina State University and co-corresponding author of a paper on the work.

Current methods of testing for plant stress or disease involve taking plant tissue samples and conducting an assay in a lab. However, this only gives growers one measurement, and there is a time lag between when growers take a sample and when they get the test results.

Plants emit different combinations of VOCs under different circumstances. By targeting VOCs that are relevant to specific diseases or plant stress, the sensors can alert users to specific problems.

“Our technology monitors VOC emissions from the plant continuously, without harming the plant,” Wei says. “The prototype we’ve demonstrated stores this monitoring data, but future versions will transmit the data wirelessly. What we’ve developed allows growers to identify problems in the field—they wouldn’t have to wait to receive test results from a lab.”

The rectangular patches are 30 millimeters (1.18 inches) long and consist of a flexible material containing graphene-based sensors and flexible silver nanowires. The sensors are coated with various chemical ligands that respond to the presence of specific VOCs, allowing the system to detect and measure VOCs in gases the plant’s leaves emit.

The researchers tested a prototype of the device on tomato plants. The prototype was set up to monitor for two types of stress: physical damage to the plant and infection by P. infestans, the pathogen that causes late blight disease in tomatoes. The system detected VOC changes associated with the physical damage within one to three hours, depending on how close the damage was to the site of the patch.

Detecting the presence of P. infestans took longer. The technology didn’t pick up changes in VOC emissions until three to four days after researchers inoculated the tomato plants.

“This is not markedly faster than the appearance of visual symptoms of late blight disease,” Wei says. “However, the monitoring system means growers don’t have to rely on detecting minute visual symptoms. Continuous monitoring would allow growers to identify plant diseases as quickly as possible, helping them limit the spread of the disease.”

“Our prototypes can already detect 13 different plant VOCs with high accuracy, allowing users to develop a customized sensor array that focuses on the stresses and diseases that a grower thinks are most relevant,” says Yong Zhu, professor of mechanical and aerospace engineering and co-corresponding author of the paper.


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“It’s also important to note that the materials are fairly low cost,” Zhu says. “If the manufacturing was scaled up, we think this technology would be affordable. We’re trying to develop a practical solution to a real-world problem, and we know cost is an important consideration.”

The researchers are currently working to develop a next-generation patch that can monitor for temperature, humidity, and other environmental variables as well as VOCs. And while the prototypes were battery-powered and stored the data on-site, the researchers plan for future versions to be solar powered and capable of wireless data transfer.

Zheng Li, a former postdoc at NC State who is now an assistant professor at Shenzhen University, and Yuxuan Li, a PhD student at NC State, are co-first authors of the paper, published in the journal Matter. Additional coauthors are from Stony Brook University and NC State.

The work received support from the US Department of Agriculture, the National Science Foundation, and NC State.

Source: NC State

About The Author

Matt Shipman-NC State

books-gardening

This article originally appeared on Futurity

 

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