A review of the use of the potentiometric electronic tongue in the monitoring of environmental systems

Mimendia, Aitor; Gutiérrez, Juan Manuel; Leija, L.; Hernández, P.R.; Favari, Liliana; Muñoz, Robert; Valle, Manel del

doi:10.1016/j.envsoft.2009.12.003

Cited by 102 publications

(50 citation statements)

References 31 publications

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“…The use of ion-selective electrodes (ISEs) is feasible for real-time monitoring because they can be used to directly in the medium to be tested. Furthermore, ISEs are both compact and low cost (Kim et al, 2006;2007;2011;2013;Mimendia et al, 2010;Tang et al, 2012;Winkler et al, 2004). However, some concerns remain regarding the stability, repeatability, and selectivity of ISEs when continuous immersion of the electrodes in hydroponic solutions is required, such as that in a continuous, on-line system.…”

Section: Introductionmentioning

confidence: 99%

An Automated Water Nitrate Monitoring System based on Ion-Selective Electrodes

Cho¹,

Kim²,

Jung³

et al. 2016

Journal of Biosystems Engineering

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Purpose: In-situ water quality monitoring based on ion-selective electrodes (ISEs) is a promising technique because ISEs can be used directly in the medium to be tested, have a compact size, and are inexpensive. However, signal drift can be a major concern with on-line management systems because continuous immersion of the ISEs in water causes electrode degradation, affecting the stability, repeatability, and selectivity over time. In this study, a computer-based nitrate monitoring system including automatic electrode rinsing and calibration was developed to measure the nitrate concentration in water samples in real-time. Methods: The capabilities of two different types of poly(vinyl chloride) membrane-based ISEs, an electrode with a liquid filling and a carbon paste-based solid state electrode, were used in the monitoring system and evaluated on their sensitivities, selectivities, and durabilities. A feasibility test for the continuous detection of nitrate ions in water using the developed system was conducted using water samples obtained from various water sources. Results: Both prepared ISEs were capable of detecting low concentrations of nitrate in solution, i.e., 0.7 mg/L NO3-N. Furthermore, the electrodes have the same order of selectivity for nitrate:, and maintain their sensitivity by > 40 mV/decade over a period of 90 days. Conclusions: The use of an automated ISE-based nitrate measurement system that includes automatic electrode rinsing and two-point normalization proved to be feasible in measuring NO3-N in water samples obtained from different water sources. A one-to-one relationship between the levels of NO3-N measured with the ISEs and standard analytical instruments was obtained.

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Section: Introductionmentioning

confidence: 99%

An Automated Water Nitrate Monitoring System based on Ion-Selective Electrodes

Cho¹,

Kim²,

Jung³

et al. 2016

Journal of Biosystems Engineering

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“…In that work a system for water sample authentication is presented based on a back-propagation learning based neuronal network (BPNN). Finally, not only chemical and physical properties can be determined, but also biological parameters, for example, Nayak et al [35] present an electronic nose for Escherichia coli (E. coli) applying a pattern recognition.…”

Section: Introductionmentioning

confidence: 99%

“…[27][28][29][30][31][32][33], environmental analyses, water quality monitoring, etc. [27,[34][35][36][37]. For instance, Campos et al [27] show an electronic tongue that is able to analyze COD (Chemical Oxygen Demand), BOD (Biochemical Oxygen Demand), ammonia (NH4-N), orthophosphate (PO3-P), sulphate (SO4-S), acetic acid (HCA) and alkalinity (Alk) from an array of metallic electrodes and using a partial least squares (PLS) analysis.…”

Section: Introductionmentioning

confidence: 99%

Feasibility Study of a Simple and Low-Cost Device for Monitoring Trihalomethanes Presence in Water Supply Systems Based on Statistical Models

Rivadeneyra

García-Ruiz

Delgado-Ramos

et al. 2014

Water

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This paper describes a new method for predicting trihalomethanes (THMs) presence in networks of water supply systems, using a low-cost device that permits a fast monitoring of concentrations without need of complex analysis made in laboratories. This method, based on statistical models, allows the estimation of THM concentration by monitoring parameters whose determination is direct and easy, and therefore, THM presence can be carried out in real-time. These parameters values are introduced in a multiple regression model resulting in the concentration of THMs levels. This model has taken into account parameters compulsory in water quality analysis and it has been shown that six parameters are enough to determine accurately THM concentration. In addition, the feasibility of a low-cost device that directly gives THM concentration is demonstrated. This device can be easily designed to be transported to different points of the water supply network where it is intended to make control campaigns.

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“…There are various analytical methods that have been used for HMI determination including atomic fluorescence spectroscopy, atomic absorption spectroscopy and inductively coupled plasma-mass spectroscopy (Sanchez-Rodas et al 2010;Larivière et al 2012). The potentiometric method has been used for measuring and monitoring HMI in rivers (Mimendia et al 2010a) and can be applied to evaluate crosssensitivity of any kind of potentiometric sensors for liquid media (Vlasov et al 1997). The major drawbacks of such potentiometric measurements are the property of temperature dependency, which influences the changes in solution, and adsorption of solution components, which further has effect on the nature of charge transfer; however, the effects of those factors can be minimized by controlling the temperature (Ciosek and Wroblewski 2007).…”

Section: Introductionmentioning

confidence: 99%

Classification of heavy metal ions present in multi-frequency multi-electrode potable water data using evolutionary algorithm

et al. 2016

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Access to potable water for the common people is one of the most challenging tasks in the present era. Contamination of drinking water has become a serious problem due to various anthropogenic and geogenic events. The paper demonstrates the application of evolutionary algorithms, viz., particle swan optimization and genetic algorithm to 24 water samples containing eight different heavy metal ions (Cd, Cu, Co, Pb, Zn, Ar, Cr and Ni) for the optimal estimation of electrode and frequency to classify the heavy metal ions. The work has been carried out on multi-variate data, viz., single electrode multi-frequency, single frequency multi-electrode and multi-frequency multi-electrode water samples. The electrodes used are platinum, gold, silver nanoparticles and glassy carbon electrodes. Various hazardous metal ions present in the water samples have been optimally classified and validated by the application of Davis Bouldin index. Such studies are useful in the segregation of hazardous heavy metal ions found in water resources, thereby quantifying the degree of water quality.

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A review of the use of the potentiometric electronic tongue in the monitoring of environmental systems

Cited by 102 publications

References 31 publications

An Automated Water Nitrate Monitoring System based on Ion-Selective Electrodes

An Automated Water Nitrate Monitoring System based on Ion-Selective Electrodes

Feasibility Study of a Simple and Low-Cost Device for Monitoring Trihalomethanes Presence in Water Supply Systems Based on Statistical Models

Classification of heavy metal ions present in multi-frequency multi-electrode potable water data using evolutionary algorithm

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