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Related Experiment Video

Updated: May 28, 2026

Modeling Alcohol Consumption in Rodents Using Two-Bottle Choice Home Cage Drinking and Microstructural Analysis
08:45

Modeling Alcohol Consumption in Rodents Using Two-Bottle Choice Home Cage Drinking and Microstructural Analysis

Published on: November 8, 2024

A Microcontroller-Based Device for Liquid Intake and Lick Analysis in Rodents.

Sikandar Ali1,2, Massimo Ubaldi2, Sofia Christina Gkolfinopoulou1,2

  • 1School of Pharmacy, Center for Neuroscience, Pharmacology Unit, University of Camerino, 62032 Camerino, Italy.

Biosensors
|May 26, 2026
PubMed
Summary
This summary is machine-generated.

Researchers developed a cost-effective device for automated monitoring of animal drinking behavior. This system reliably records fluid intake and analyzes licking microstructure in mice and rats, improving experimental efficiency.

Keywords:
IOTbehavioral neuroscienceembedded systemingestive behaviorlickometerliquid intake monitoringmicrocontrollerrodent behaviorsensor technology

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Last Updated: May 28, 2026

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Area of Science:

  • Animal behavior research
  • Laboratory animal science
  • Biomedical engineering

Background:

  • Manual measurement of animal fluid intake is labor-intensive and can disturb subjects.
  • Existing automated drinkometers are expensive and require specialized housing.
  • There is a need for cost-effective, adaptable systems for monitoring drinking behavior.

Purpose of the Study:

  • To develop a low-cost, microcontroller-based device for continuous monitoring of liquid consumption.
  • To enable automated analysis of drinking microstructure (e.g., licks, bouts).
  • To create a system compatible with standard laboratory cages.

Main Methods:

  • Utilized capacitive sensing technology for liquid consumption assessment.
  • Designed a custom bottle handler and capacitive sensor for standard 250 mL bottles.
  • Integrated a microcontroller for autonomous data acquisition and transfer to a computer.

Main Results:

  • The developed system reliably and reproducibly recorded fluid consumption in both mice and rats.
  • The device successfully enabled the analysis of licking microstructure.
  • Data acquisition and transfer were automated and efficient.

Conclusions:

  • The new device offers a cost-effective solution for monitoring animal drinking behavior.
  • This technology enhances experimental accuracy and reduces animal disturbance.
  • The system is suitable for integration into standard home cage conditions for mice and rats.