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Plant patch can detect stress signals in real time

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ACS Sensors

Environmental conditions can cause damaging stress to plants, posing challenges for home gardeners and farmers. Therefore, early detection 鈥� before leaves visibly discolor, wilt or wither 鈥� is crucial. Now, researchers reporting in ACS Sensors have created a wearable patch for plants that quickly senses stress and relays the information to a grower. The electrochemical sensor attaches directly to live plant leaves and monitors hydrogen peroxide, a key distress signal.聽

An electrode containing miniature spikes on top of gold electrical circuits on the side facing away from a green leaf in the background.
This sensor measures hydrogen peroxide, a marker of stress in soybean and tobacco plant leaves.
Adapted from ACS Sensors 2025, DOI: 10.1021/acssensors.4c02645

Pests, drought, extreme temperatures and infections all cause stress in plants. In response, plants鈥� normal biochemistry gets out of whack, and they produce hydrogen peroxide, which also acts as a signal between cells to activate their defense mechanisms. Early detection of this chemical clue could help people expertly tailor plant care and prevent further damage, thereby maximizing crop yields, even in difficult conditions. But most current methods for detecting hydrogen peroxide require removal of plant parts and multiple processing steps or external detectors that observe fluorescence changes, which can get muddled by chlorophyll. And researchers have previously investigated plant-wearable devices to monitor leaf water content as an indicator of plant health. So, Liang Dong and colleagues set out to design a stand-alone patch that quickly and accurately detects the hydrogen peroxide distress signals from living plants.聽

To build a patch that sticks to the underside of leaves, the researchers created an array of microscopic plastic needles across a flexible base. Onto this patterned surface they coated a chitosan-based hydrogel mixture that converted small changes in hydrogen peroxide into measurable differences in electrical current. The mixture contained an enzyme that reacted with hydrogen peroxide to produce electrons and reduced graphene oxide to conduct those electrons through the sensor. 聽

A piece of black plastic with wires coming out one side attached to a leaf.
This reusable patch (shown on the underside of a tobacco leaf) could help growers make decisions earlier to maintain the health of their crops through earlier detection of plant stress.
Adapted from ACS Sensors 2025, DOI: 10.1021/acssensors.4c02645

The researchers tested their patches on live, healthy soybean and tobacco plants and compared them to stressed bacteria-infected plants. They found:

  • For both crops infected with the bacterial pathogen Pseudomonas syringae pv.鈥痶omato DC3000, the sensor produced more electrical current on stressed leaves than on healthy ones, and the current levels were directly related to the amount of hydrogen peroxide present.聽

  • The sensor鈥檚 measurement of hydrogen peroxide was accurate and confirmed by conventional lab analyses.聽

  • After about 1 minute, the patches measured hydrogen peroxide in the leaves at significantly lower levels than those previously reported from needle-like sensors for live plants.

  • Patches could be reused nine times before the microscopic needles lost their form.聽

The new strategy provides information that could help growers efficiently make decisions about their crops. 鈥淲e can achieve direct measurements in under a minute for less than a dollar per test,鈥� says Dong. 鈥淭his breakthrough will significantly streamline analysis, making it practical for farmers to use our patch sensor for real-time disease crop monitoring.鈥�

And the researchers are excited to continue moving the research forward. 鈥淥ur next step is to refine the technology and enhance its reusability,鈥� concludes Dong.

The authors acknowledge funding from Iowa State University, the U.S. Department of Agriculture鈥檚 National Institute of Food and Agriculture, and the National Science Foundation.

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