Literature DB >> 33322346

A New Ammonium Smart Sensor with Interference Rejection.

Juan V Capella1, Alberto Bonastre1, José C Campelo1, Rafael Ors1, Miguel Peris2.   

Abstract

In many water samples, it is important to determine the ammonium concentration in order to obtain an overall picture of the environmental impact of pollutants and human actions, as well as to detect the stage of eutrophization. Ion selective electrodes (ISEs) have been commonly utilized for this purpose, although the presence of interfering ions (potassium and sodium in the case of NH4+-ISE) represents a handicap in terms of the measurement quality. Furthermore, random malfunctions may give rise to incorrect measurements. Bearing all of that in mind, a smart ammonium sensor with enhanced features has been developed and tested in water samples, as demonstrated and commented on in detail following the presentation of the complete set of experimental measurements that have been successfully carried out. This has been achieved through the implementation of an expert system that supervises a set of ISEs in order to (a) avoid random failures and (b) reject interferences. Our approach may also be suitable for in-line monitoring of the water quality through the implementation of wireless sensor networks.

Entities:  

Keywords:  expert system; in-line water monitoring; interference tolerance; smart ammonium sensor; triple modular redundancy; wireless sensor networks

Year:  2020        PMID: 33322346     DOI: 10.3390/s20247102

Source DB:  PubMed          Journal:  Sensors (Basel)        ISSN: 1424-8220            Impact factor:   3.576


  1 in total

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

Authors:  José C Campelo; Juan V Capella; Rafael Ors; Miguel Peris; Alberto Bonastre
Journal:  Sensors (Basel)       Date:  2022-01-22       Impact factor: 3.576

  1 in total

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