Evidence map›Paper›PMID 42187464›Full record

ArticleBiosensors2026

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

Sikandar Ali, Massimo Ubaldi, Sofia Christina Gkolfinopoulou, Andrea Della Valle, Fabio Casarola, Adolfo Russo, Matteo Piersantelli, Roberto Ciccocioppo

Abstract read
In one paragraph

Article in Biosensors, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Sikandar AliSchool of Pharmacy, Center for Neuroscience, Pharmacology Unit, University of Camerino, 62032 Camerino, Italy.ORCID 0009-0006-9726-7474
Massimo UbaldiSchool of Advanced Studies, University of Camerino, 62032 Camerino, Italy.ORCID 0000-0002-4089-2483
Sofia Christina GkolfinopoulouSchool of Pharmacy, Center for Neuroscience, Pharmacology Unit, University of Camerino, 62032 Camerino, Italy.ORCID 0009-0004-1028-4489
Andrea Della ValleSchool of Pharmacy, Center for Neuroscience, Pharmacology Unit, University of Camerino, 62032 Camerino, Italy.ORCID 0009-0005-7405-1032
Fabio CasarolaAM Microsystems Srl, 62100 Macerata, Italy.
Adolfo RussoAM Microsystems Srl, 62100 Macerata, Italy.
Matteo PiersantelliAM Microsystems Srl, 62100 Macerata, Italy.
Roberto CiccocioppoSchool of Pharmacy, Center for Neuroscience, Pharmacology Unit, University of Camerino, 62032 Camerino, Italy.ORCID 0000-0003-3126-9240

Funding

Eureka program of the Region Marche, Italy PRIN-PNRR2022-P202274WPN(toRC),PRIN-202220227HRFPJ(toRC), 399 MNESYS(PE0000006)-ProjectAMSUD2024,PRIN2022X9X5MS(toMU)
6 · The paper itself

Abstract

Drinking behavior is an important parameter in laboratory animal experiments. Traditionally, the amount of fluid consumed is recorded manually by the experimenter, who weighs the bottle at predetermined timepoints to calculate the intake. This approach is labor-intensive and involves human intervention, which can disturb the animals and affect their natural drinking patterns. Automated drinkometer systems have been developed to enable continuous and automated recording of fluid consumption. One advantage of these devices is that they allow researchers not only to measure total fluid intake but also to analyze the microstructure of drinking behavior (e.g., number of licks, bouts, and inter-bout intervals). However, these systems typically require dedicated cages equipped with proprietary drinkometers, making them highly expensive and often unsuitable for monitoring fluid consumption under standard home cage conditions. Here, we describe the development of a new cost-effective microcontroller-based device for continuous monitoring of liquid consumption and analysis of licking microstructure, which can be integrated with existing cages. The system is based on capacitive sensing technology for the assessment of liquid consumption. A customized bottle handler and capacitive sensor have been designed, which can be mounted on a standard 250 mL sized bottle for data acquisition. The device has been tested both in mice and in rats. The results demonstrated that for both animal species the system reproducibly and reliably recorded fluid consumption, also allowing for licking analysis. The data are acquired autonomously through custom devices and directly transferred to a computer for storage and analysis.

Indexed as

Biosensing TechniquesDrinkingDrinking BehaviorAnimalsMiceRatsbehavioral neuroscienceembedded systemingestive behaviorIOTlickometerliquid intake monitoringmicrocontrollerrodent behaviorsensor technology

Identifiers

PMID42187464
PMCPMC13204009

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.