2011
DOI: 10.3390/s110303214
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Potentiometric Electronic Tongue to Resolve Mixtures of Sulfide and Perchlorate Anions

Abstract: This work describes the use of an array of potentiometric sensors and an artificial neural network response model to determine perchlorate and sulfide ions in polluted waters, by what is known as an electronic tongue. Sensors used have been all-solid-state PVC membrane selective electrodes, where their ionophores were different metal-phtalocyanine complexes with specific and anion generic responses. The study case illustrates the potential use of electronic tongues in the quantification of mixtures when interf… Show more

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Cited by 25 publications
(15 citation statements)
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“…It is also noteworthy that all sensors present cross‐sensitivity, desired when working with electronic tongue systems. Sensors of this type mimic the taste buds of animals generating great amount of complex data which are later analyzed using chemometric techniques 33, 34.…”
Section: Resultsmentioning
confidence: 99%
“…It is also noteworthy that all sensors present cross‐sensitivity, desired when working with electronic tongue systems. Sensors of this type mimic the taste buds of animals generating great amount of complex data which are later analyzed using chemometric techniques 33, 34.…”
Section: Resultsmentioning
confidence: 99%
“…ETs were initially postulated in the early 1990s to overcome limitations of single sensor methodologies and to make extensive use of sensor arrays and chemometric tools [ 9 ]. Since then, ETs have been used to resolve individual pollutants present in complex samples [ 10 , 11 ] and to correct interference and/or matrix effects in environmental determinations [ 12 ].…”
Section: Introductionmentioning
confidence: 99%
“…An electronic tongue/taste sensor array is a smart/intelligent instrument with an appropriate pattern recognition system, which can detect different types of taste from simple or complex mixtures of soluble nonvolatile molecules in a sample [ 1 ]. Taste sensors have huge applications in research institutes, pharmaceutical industries, food and beverage industries, medical diagnostic centers, environmental monitoring centers, and the agricultural sector [ 2 , 3 , 4 , 5 , 6 , 7 , 8 , 9 ].…”
Section: Introductionmentioning
confidence: 99%