Evidence map›Paper›PMID 35161589›Full record

ArticleSensors (Basel, Switzerland)2022

IoT Technologies in Chemical Analysis Systems: Application to Potassium Monitoring in Water.

José C Campelo, Juan V Capella, Rafael Ors, Miguel Peris, Alberto Bonastre

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2022. 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.

José C CampeloInstitute of Information and Communication Technologies (ITACA), Universitat Politècnica de València, Camino de Vera s/n, 46071 Valencia, Spain.ORCID 0000-0003-0558-7683
Juan V CapellaInstitute of Information and Communication Technologies (ITACA), Universitat Politècnica de València, Camino de Vera s/n, 46071 Valencia, Spain.ORCID 0000-0003-3879-9826
Rafael OrsInstitute of Information and Communication Technologies (ITACA), Universitat Politècnica de València, Camino de Vera s/n, 46071 Valencia, Spain.
Miguel PerisDepartment of Chemistry, Universitat Politècnica de València, Camino de Vera s/n, 46071 Valencia, Spain.ORCID 0000-0003-3142-0529
Alberto BonastreInstitute of Information and Communication Technologies (ITACA), Universitat Politècnica de València, Camino de Vera s/n, 46071 Valencia, Spain.ORCID 0000-0003-3639-8420

Funding

Ministry of Economy, Industry and Competitiveness DPI2016-80303-C2-1-P
6 · The paper itself

Abstract

The in-line determination of chemical parameters in water is of capital importance for environmental reasons. It must be carried out frequently and at a multitude of points; thus, the ideal method is to utilize automated monitoring systems, which use sensors based on many transducers, such as Ion Selective Electrodes (ISE). These devices have multiple advantages, but their management via traditional methods (i.e., manual sampling and measurements) is rather complex. Wireless Sensor Networks have been used in these environments, but there is no standard way to take advantage of the benefits of new Internet of Things (IoT) environments. To deal with this, an IoT-based generic architecture for chemical parameter monitoring systems is proposed and applied to the development of an intelligent potassium sensing system, and this is described in detail in this paper. This sensing system provides fast and simple deployment, interference rejection, increased reliability, and easy application development. Therefore, in this paper, we propose a method that takes advantage of Cloud services by applying them to the development of a potassium smart sensing system, which is integrated into an IoT environment for use in water monitoring applications. The results obtained are in good agreement (correlation coefficient = 0.9942) with those of reference methods.

Indexed as

PotassiumWaterCloud ComputingReproducibility of ResultsWireless TechnologyPotassiumWatercloud servicesin-line monitoringInternet of Thingsion-selective electrodepotassium determinationsmart sensorwater analysis

Identifiers

PMID35161589
PMCPMC8839428

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Registered trials

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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.