Application of Blind Source Separation Methods to Ion-Selective Electrode Arrays in Flow-Injection Analysis

Leonardo Tomazeli Duarte (1) , João Marcos Romano (1) , Christian Jutten (2) , Karin Chumbimuni-Torres (3) , Lauro Kubota (4)

1 DSPCom
2 GIPSA-VIBS - GIPSA - Vision and Brain Signal Processing
3 UCF - University of Central Florida [Orlando]
4 Institute of Chemistry

As shown recently, the interference problem typical of ion-selective electrodes can be dealt with via smart arrays adjusted by blind source separation methods. In this letter, we resume this study and show that such an approach can be applied even when faced with a limited number of samples acquired through flow-injection analysis.

Mots clés: Chemical sensor arrays; blind source separation; ion-selective electrodes; signal processing

Domaines: Traitement du signal et de l'image [eess.SP]; Traitement du signal et de l'image [eess.SP]

Leonardo Tomazeli Duarte, João Marcos Romano, Christian Jutten, Karin Chumbimuni-Torres, Lauro Kubota. Application of Blind Source Separation Methods to Ion-Selective Electrode Arrays in Flow-Injection Analysis. IEEE Sensors Journal, 2014, 14 (7), pp.2228-2229. ⟨10.1109/JSEN.2014.2318174⟩. ⟨hal-01009910⟩