title: A novel bio-electronic tongue using different cellobiose dehydrogenases to resolve mixtures of various sugars and interfering analytes.
abstract: 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 Ca(2+) 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 (R(2)=0.975) and Ca(2+) (R(2)=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.
authors.affiliation: Sensors and Biosensors Group, Chemistry Department, Universitat Autònoma de Barcelona, 08193 Bellaterra, Barcelona, Spain.
authors.forename: Andrea
authors.initials: A
authors.lastname: Cipri
authors.affiliation: Department of AnalyticalChemistry/Biochemistry and Structural Biology, Lund University, Lund, Sweden.
authors.forename: Christopher
authors.initials: C
authors.lastname: Schulz
authors.affiliation: Department of Food Science and Technology BOKU - University of Natural Resources and Life Sciences, Muthgasse 18, 1190 Vienna, Austria.
authors.forename: Roland
authors.initials: R
authors.lastname: Ludwig
authors.affiliation: Department of AnalyticalChemistry/Biochemistry and Structural Biology, Lund University, Lund, Sweden.
authors.forename: Lo
authors.initials: L
authors.lastname: Gorton
authors.affiliation: Sensors and Biosensors Group, Chemistry Department, Universitat Autònoma de Barcelona, 08193 Bellaterra, Barcelona, Spain. Electronic address: manel.delvalle@uab.cat.
authors.forename: Manel
authors.initials: M
authors.lastname: Del Valle
mesh_terms: D015374:Biosensing Techniques / Q000295:instrumentation*; D002118:Calcium / Q000302:isolation & purification* / Q000378:metabolism; D002237:Carbohydrate Dehydrogenases / Q000378:metabolism*; D055615:Electrical Equipment and Supplies; D055664:Electrochemical Techniques / Q000295:instrumentation; D004867:Equipment Design; D005658:Fungi / Q000201:enzymology*; D005947:Glucose / Q000302:isolation & purification* / Q000378:metabolism; D007785:Lactose / Q000302:isolation & purification* / Q000378:metabolism; D016571:Neural Networks, Computer; D014059:Tongue / Q000502:physiology*
chemical_list: D002237:Carbohydrate Dehydrogenases; C019859:cellobiose-quinone oxidoreductase; D005947:Glucose; D007785:Lactose; D002118:Calcium
keywords: Artificial neural networks; Bioelectronic tongue; Calcium; Cellobiose dehydrogenase; Glucose; Lactose; Voltammetry