We’re delighted to announce the recipients of the Outstanding Early Career Researcher Award 2024 from Sensors & Diagnostics: the innovative team behind “Sustainable agriculture with LEAFS: a low-cost electrochemical analyzer of foliage stress”.
This research team, led by Maral Mousavi at the Medical and Analytical Device Laboratory (MADLab), University of Southern California, has developed a portable and low-cost electrochemical sensor that detects salicylic acid (SA)—a key biomarker of plant stress. Traditional methods for SA detection, such as chromatography, are effective but expensive and lab-bound. LEAFS offers a scalable alternative using laser-induced graphene (LIG) and square wave voltammetry for highly sensitive, real-time detection in plants such as aloe vera and philodendron hederaceum.
With a sensitivity of 144.28 μA mM⁻¹ and a detection limit of 1.44 μM, LEAFS empowers farmers and researchers with field-ready, real-time monitoring of plant health, supporting precision agriculture and global food security.
About the researchers:
- Maral Mousavi, the PI, leads MADLab with a vision for equitable, field-deployable diagnostics across biology and agriculture.
- Sina Khazaee Nejad works at the intersection of wearable sensors and machine learning.
- Haozheng Ma specializes in high-sensitivity electrochemical biosensors.
- Abdulrahman Al-Shami focuses on accessible diagnostic devices for global health.
- Ali Soleimani develops low-cost biosensors and microfluidic tools.
- Mona A. Mohamed is an expert in electrochemical sensing and nanomaterials.
- Preston Dankwah contributed as an undergrad in mechanical-biomedical research.
- Hannah J. Lee explores cancer diagnostics and nano-based imaging.
In their words:
“We are honoured to receive the Outstanding Early Career Research Award from Sensors & Diagnostics. This recognition highlights the importance of developing accessible and sustainable technologies for sustainable agriculture. Our work on the LEAFS platform represents a collective effort to merge low-cost electrochemical sensing with real-world applications that can impact food security. We are grateful to the journal and its editorial team for this recognition, and we look forward to working with the wider community to push forward the frontiers of point of care diagnostics.”
🔗 Read the winners’ paper here!
Join us on LinkedIn to celebrate with the winners!
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