Arduino-Based Volatile Delivery System for Evaluating Honeybee Learning.

Area of Science:

• Behavioral Neuroscience
• Animal Cognition
• Entomology

Background:

• The proboscis extension reflex (PER) is a key model for studying honeybee learning and memory.
• Existing PER conditioning systems often involve complex and costly equipment, limiting accessibility.
• Consistent and accurate odorant delivery is critical for reliable PER conditioning results.

Purpose of the Study:

• To develop and validate a low-cost, Arduino-based automated system for volatile delivery in PER conditioning.
• To provide an accessible and reproducible method for researchers and educators to conduct honeybee learning experiments.
• To demonstrate the system's efficacy in establishing associative learning in honeybees.

Main Methods:

• An Arduino-controlled system integrating solenoid and servo valves was designed for precise airflow management between clean air and odorant channels.
• Open-source code was utilized for easily modifiable stimulus timing control.
• Apis mellifera workers were conditioned to associate 1-hexanol odor with a sucrose reward using the developed system.

Main Results:

• The system successfully facilitated the conditioning of honeybees to associate 1-hexanol with sucrose.
• High conditioned response rates were achieved: 90% after three trials and 75% retention after five trials.
• Performance metrics were comparable to those reported in studies using more complex and expensive equipment.

Conclusions:

• The developed Arduino-based system offers a reliable, accessible, and cost-effective solution for automated odor delivery in PER conditioning.
• This flexible tool lowers the barrier for implementing classical conditioning protocols in honeybee research and education.
• The system supports reproducible learning and memory studies in honeybees without requiring specialized infrastructure or expertise.