© 2015 Elsevier B.V.. A novel application of cellobiose dehydrogenase (CDH) as sensing element for a Bioelectronic Tongue (BioET) system has been tested. In this work CDHs from various fungi, which exhibit different substrate specificities, were used to discriminate between lactose and glucose in presence of the interfering matrix compound Ca2+ in various mixtures. This work exploits the advantage of an electronic tongue system with practically zero pre-treatment of samples and operation at low voltages in a direct electron transfer mode. The Artificial Neural Network (ANN) used in the BioET system to interpret the voltammetric data was able to provide a correct prediction of the concentrations of the analytes considered. Correlation coefficients in the comparison of obtained vs. expected concentrations were highly significant, especially for lactose (R2=0.975) and Ca2+ (R2=0.945). This BioET application has a high potential especially for the food and dairy industry and also, if further miniaturised in screen printed format, for its in-situ use.
|Journal||Biosensors and Bioelectronics|
|Publication status||Published - 15 May 2016|
- Artificial neural networks
- Bioelectronic tongue
- Cellobiose dehydrogenase