Evidence map›Paper›PMID 41374485›Full record

ArticleSensors (Basel, Switzerland)2025

Development of a Cost-Effective Multiparametric Probe for Continuous Real-Time Monitoring of Aquatic Environments.

Samuel Fernandes, Alice Fialho, José Maria Santos, Teresa Ferreira, Ana Filipa Filipe

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2025. 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

5 authors.

Samuel FernandesPortuguese Environment Agency (APA) P.I., 2610-124 Amadora, Portugal.
Alice FialhoPortuguese Environment Agency (APA) P.I., 2610-124 Amadora, Portugal.
José Maria SantosForest Research Centre (CEF), Associate Laboratory TERRA, School of Agriculture, University of Lisbon, 1349-017 Lisbon, Portugal.ORCID 0000-0003-1232-2560
Teresa FerreiraForest Research Centre (CEF), Associate Laboratory TERRA, School of Agriculture, University of Lisbon, 1349-017 Lisbon, Portugal.ORCID 0000-0002-3900-1460
Ana Filipa FilipeForest Research Centre (CEF), Associate Laboratory TERRA, School of Agriculture, University of Lisbon, 1349-017 Lisbon, Portugal.ORCID 0000-0001-7862-2676

Funding

AFF was also supported by FCT through the Stimulus of Scientific Employment Contract (2020.03872.CEECIND). 2020.03872.CEECINDAQUAdapt project (Ref. PD20-00008, Promove Program, 'La Caixa' Foundation, in col-laboration with BPI and Foundation for Science and Technology (FCT), Portugal). PD20-00008The Open Access was funded by CEF Project UIDB/00239/2025. UIDB/00239/2025This work was supported by FCT - Fundação para a Ciência e Tecnologia, I.P. through project reference UID/00239/2025. UID/00239/2025
6 · The paper itself

Abstract

Continuous, real-time measurements are essential for informed water resource management and the development of strategies for the protection of aquatic ecosystems. Traditional methods of water quality assessment often fail to adequately capture seasonal trends, and the frequency and rapidity of fluctuations. To address this challenge, a standalone, low-cost (<EUR 1000), autonomous multisensor prototype for remote assessment was developed. The design of the system was optimized with a hardware-centric approach to minimize costs, whilst providing reliability and high precision and accuracy. Based on embedded systems and capable of long-range communication through GSM/GPRS, the device operates with minimal human intervention, ensuring timely data availability for analysis and decision-making. The multisensor instrument determines four important water quality parameters: pH, conductivity, temperature, and water level. Calibration and sensitivity analyses were performed; 1000 measurements per sensor indicated distributions consistent with normality for pH, conductivity, and water level. The results demonstrated high performance in pH measurements (mean: 5.65 on the Sørensen scale, R

Indexed as

dataloggerembedded systemsenvironmental monitoringESP32real-time monitoringuncertainty analysiswater monitoringwater quality

Identifiers

PMID41374485
PMCPMC12693955

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.