Living biosensor crops detect chemical exposure

January 07, 2026

A multidisciplinary research team from leading U.S. institutions has created a groundbreaking plant biotechnology platform that transforms grasses—including staple grain crops like corn—into living biosensors capable of detecting trace levels of chemicals directly in agricultural fields.

Scientists from the Donald Danforth Plant Science Center, the University of Florida in Gainesville, and the University of Iowa collaborated to develop genetic tools that allow grasses to visibly respond to environmental chemical exposure. These engineered plants can signal the presence of pollutants or harmful compounds by producing a distinct purple pigment, enabling real-time, noninvasive monitoring of crop and environmental health.

Engineering crops to visually signal chemical exposure

The project was led by principal investigators Dmitri Nusinow, Ph.D., and Malia Gehan, Ph.D., who focused on activating anthocyanin—a naturally occurring purple plant pigment—only when specific chemical signals are detected. By coupling this response with advanced imaging and data analysis technologies, the system can identify extremely low concentrations of chemicals that may pose risks to agriculture or human health.

The team’s research, titled “Remote Sensing of Endogenous Pigmentation by Inducible Synthetic Circuits in Grasses,” appears in the Plant Biotechnology Journal.

From traditional crops to environmental sentinels

The researchers explored a key question: could crop plants themselves warn farmers about unfavorable conditions or chemical contamination? While earlier plant biosensor technologies largely focused on dicot species such as Arabidopsis thaliana, monocots—grasses that dominate global food production—have remained underdeveloped in this area.

By leveraging plant pigments like anthocyanins as visual indicators, the team developed a non-destructive reporting system that works in grass species. They successfully implemented a ligand-responsive synthetic genetic circuit in Setaria viridis, a model C4 grass closely related to major cereal crops.

This innovation opens the door to crops like corn changing color in response to targeted chemical exposure, making stress detection visible without laboratory testing.

Major scientific breakthroughs achieved

The research delivered several critical advancements in plant synthetic biology:

Discovery of two transcription factors that can be expressed together from a single genetic sequence to initiate anthocyanin production

Validation of both continuous and chemically inducible pigment expression in isolated plant cells and mature grasses

Creation of hyperspectral imaging and analytical methods capable of detecting pigment changes remotely and without damaging the plant


Collectively, these innovations demonstrate a reliable system for precision chemical sensing in grasses, enabling crops to actively communicate environmental stressors.

Strengthening food security through smart crops

“Grain crops are fundamental to global food security,” said Nusinow. “Plants that can act as early warning systems in the field have the potential to improve sustainability and resilience in agriculture.”

This technology represents a significant step toward plant-based monitoring systems that can detect chemical drift, contamination, and other environmental challenges that affect crop yield and safety. As sensing technologies continue to advance, crops that can self-report stress may redefine how farmers manage agricultural systems.

Open-access tools for the scientific community

To support collaboration and accelerate innovation, the research team has made both the genetic constructs and imaging methodologies publicly available through open-access repositories.