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一种具有抗干扰功能的新型铵智能传感器。

A New Ammonium Smart Sensor with Interference Rejection.

机构信息

Instituto de las Tecnologías de la Información y Comunicaciones ITACA, Universitat Politècnica de València, Camino de Vera s/n, 46022 Valencia, Spain.

Department of Chemistry, Universitat Politècnica de València, 46071 Valencia, Spain.

出版信息

Sensors (Basel). 2020 Dec 11;20(24):7102. doi: 10.3390/s20247102.

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 NH-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.

摘要

在许多水样中,确定氨浓度非常重要,以便全面了解污染物和人类活动对环境的影响,以及检测富营养化阶段。为此,通常使用离子选择性电极 (ISE),尽管存在干扰离子(NH-ISE 情况下为钾和钠),这会对测量质量造成障碍。此外,随机故障可能会导致测量结果不准确。考虑到这一切,我们开发并测试了一种具有增强功能的智能氨传感器,并在详细展示和讨论了成功完成的整套实验测量结果之后进行了介绍。这是通过实施一个专家系统来实现的,该系统可以监督一组 ISE 以 (a) 避免随机故障和 (b) 消除干扰。我们的方法也可以通过实施无线传感器网络来适用于水质的在线监测。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ed3e/7764669/319ca8e08a43/sensors-20-07102-g001.jpg

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