Evidence map›Paper›PMID 32092984›Full record

ArticleSensors (Basel, Switzerland)2020

A Self-Powered Wireless Water Quality Sensing Network Enabling Smart Monitoring of Biological and Chemical Stability in Supply Systems.

Marco Carminati, Andrea Turolla, Lorenzo Mezzera, Michele Di Mauro, Marco Tizzoni, Gaia Pani, Francesco Zanetto, Jacopo Foschi, Manuela Antonelli

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

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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

9 authors.

Marco CarminatiDipartimento di Elettronica, Informazione e Bioingegneria (DEIB), Politecnico di Milano, Milano 20133, Italy.ORCID 0000-0002-3485-4317
Andrea TurollaDepartment of Civil and Environmental Engineering (DICA)-Environmental Section, Politecnico di Milano, Milano 20133, Italy.ORCID 0000-0002-2902-5004
Lorenzo MezzeraDipartimento di Elettronica, Informazione e Bioingegneria (DEIB), Politecnico di Milano, Milano 20133, Italy.
Michele Di MauroDepartment of Civil and Environmental Engineering (DICA)-Environmental Section, Politecnico di Milano, Milano 20133, Italy.
Marco TizzoniDepartment of Civil and Environmental Engineering (DICA)-Environmental Section, Politecnico di Milano, Milano 20133, Italy.
Gaia PaniDepartment of Civil and Environmental Engineering (DICA)-Environmental Section, Politecnico di Milano, Milano 20133, Italy.
Francesco ZanettoDipartimento di Elettronica, Informazione e Bioingegneria (DEIB), Politecnico di Milano, Milano 20133, Italy.ORCID 0000-0002-0242-5016
Jacopo FoschiDepartment of Civil and Environmental Engineering (DICA)-Environmental Section, Politecnico di Milano, Milano 20133, Italy.
Manuela AntonelliDepartment of Civil and Environmental Engineering (DICA)-Environmental Section, Politecnico di Milano, Milano 20133, Italy.ORCID 0000-0003-1293-2019

Funding

Camera di Commercio di Milano StartCup Lombardia 2018Ministero dell'Istruzione, dell'Università e della Ricerca Giovani ricercatoriPolitecnico di Milano Switch2Product 2017
6 · The paper itself

Abstract

A smart, safe, and efficient management of water is fundamental for both developed and developing countries. Several wireless sensor networks have been proposed for real-time monitoring of drinking water quantity and quality, both in the environment and in pipelines. However, surface fouling significantly affects the long-term reliability of pipes and sensors installed in-line. To address this relevant issue, we presented a multi-parameter sensing node embedding a miniaturized slime monitor able to estimate the micrometric thickness and type of slime. The measurement of thin deposits in pipes is descriptive of water biological and chemical stability and enables early warning functions, predictive maintenance, and more efficient management processes. After the description of the sensing node, the related electronics, and the data processing strategies, we presented the results of a two-month validation in the field of a three-node pilot network. Furthermore, self-powering by means of direct energy harvesting from the water flowing through the sensing node was also demonstrated. The robustness and low cost of this solution enable its upscaling to larger monitoring networks, paving the way to water monitoring with unprecedented spatio-temporal resolution.

Indexed as

Electric Power SuppliesWater QualityWireless TechnologyElectric ConductivityEnvironmental MonitoringMicroelectrodesTemperatureUser-Computer Interfacebiofilmenergy harvestingimpedanceinterdigitated microelectrodesscalingsmart pipewireless sensor network

Identifiers

PMID32092984
PMCPMC7070842

What OpenQuestion holds

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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.