期刊
SENSORS
卷 11, 期 3, 页码 3214-3226出版社
MDPI
DOI: 10.3390/s110303214
关键词
electronic tongue; ion-selective electrode; artificial neural network; sulfide; perchlorate; phtalocyanine ionophores
资金
- Spanish Ministry of Science and Innovation [MCINN CTQ2010-17099]
- ICREA Academia
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 interfering effects need to be counterbalanced: relative errors in determination of individual ions can be decreased typically from 25% to less than 5%, if compared to the use of a single proposed ion-selective electrode.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据