Research Terms
This universal insect trap captures flying adult insects that can later be analyzed as vectors for pathogens that cause plant diseases. Existing insect traps are complicated and expensive to manufacture and can only attract and capture specific insects. Multiple trap types are necessary to examine a full range of insects responsible for damage or spreading disease in plants. In addition, these traps do not preserve the captured insects, which prevents later identification and recovery of its nucleic acids to determine if it is vectoring a specific pathogenic microorganism.
Researchers at the University of Florida have developed a simple universal insect trap that can be used to capture and preserve a variety of insect species for later analysis. With a simplistic and inexpensive design, this trap anticipates behavioral and flight characteristics of various insects to trap them. It does not require the use of adhesives, bait, or attractants to lure insects, and it can trap them alive or preserve them for later analysis. Insects caught in the trap can reflect seasonal activity, population increases, and density differences of adult insect populations as well.
An insect trap that captures and preserves a wide variety of insect pests that are vectors of various plant diseases. The trap may also be used as the collection-preserving component of other traps used to target insects under different situations such as a soil or water emergence traps.
This insect trap design uses a double entry, color, and light to attract and trap a variety of insects and collect them for analysis. The simple design using molded plastic is inexpensive to manufacture and includes elements that can be modified depending on the species of insect intended for capture. Though baits or chemical lures are not needed for the trap to function, they can be used to improve the trap capture rate. The trap preserves the target insect so researchers can analyze their infection rates, strain of vector or pathogen they carry, and its natural enemies can be determined. In addition to whiteflies, this trap can collect insects such as Asian citrus psyllids, aphids, thrips, and leafhoppers.
This olfactometer system tracks animal responses to a variety of controllable olfactory cues and optionally simultaneously, with visual cues. Insect behavior plays a critical role in agriculture, disease transmission, and environmental monitoring. Understanding insect responses to odors and visual cues is vital for developing vector control strategies and chemical ecology tools. Traditional olfactometer systems are often low throughput, lack consistency in odor delivery, and do not allow multimodal testing in a synchronized fashion. Furthermore, most commercially available setups are not scalable and cannot simultaneously deliver multiple odorants and light cues across separate test lanes.
Researchers at the University of Florida have developed a multi-lane olfactometer that delivers programmable olfactory and visual stimuli with high temporal and spatial precision. The system features individually sealed test lanes, modular scent-delivery assemblies, collimated light inputs, and integrated tracking capabilities. It also includes dedicated calibration lanes equipped with VOC and light sensors for validating stimulus conditions in real time. This setup enables scalable, reproducible behavioral assays in entomology and related fields, supporting applications in neuroscience, vector biology, chemical ecology, and environmental toxicology.
A multi-lane, high-throughput olfactometer system for testing insect response to odor and light stimuli
The olfactometer consists of a central manifold supplying clean air to several scent-generating modules, each linked to a mixing chamber. Odorants are introduced via vial assemblies and directed into an arena housing multiple parallel lanes, each with its own airflow, light source, and insect chamber. A light-isolated design ensures that sensory inputs remain contained to their respective lanes. Collimated light cues can be precisely aligned using fiber optics and shutters. Data is collected through an overhead tracking system monitoring movement in response to stimulus changes. Additional sensor lanes validate scent intensity, airspeed, and light wavelength in real-time to confirm experimental conditions.
