A novel bio-electronic tongue using cellobiose dehydrogenase from different origins to resolve mixtures of various sugars and interfering analytes
Cipri, Andrea (Universitat Autònoma de Barcelona. Departament de Química)
Schulz, Christopher (Lunds universitet. Department of Analytical Chemistry/Biochemistry and Structural Biology)
Ludwig, Roland (Universität für Bodenkultur Wien. Department of Food Science and Technology)
Gorton, Loo (Lunds universitet. Department of Analytical Chemistry/Biochemistry and Structural Biology)
Valle Zafra, Manuel del (Universitat Autònoma de Barcelona. Departament de Química)

Data:	2016
Resum:	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.
Ajuts:	Ministerio de Economía y Competitividad CTQ2013-41577-P
Nota:	Altres ajuts: REA/PITN-GA-2010-264772
Drets:	Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, i la comunicació pública de l'obra, sempre que no sigui amb finalitats comercials, i sempre que es reconegui l'autoria de l'obra original. No es permet la creació d'obres derivades.
Llengua:	Anglès
Document:	Article ; recerca ; Versió acceptada per publicar
Matèria:	Bioelectronic tongue ; Voltammetry ; Artificial neural networks ; Cellobiose dehydrogenase ; Glucose ; Lactose ; Calcium
Publicat a:	Biosensors & bioelectronics, Vol. 79 (May 2016) , p. 515-521, ISSN 1873-4235

DOI: 10.1016/j.bios.2015.12.069
PMID: 26748369

Postprint 22 p, 1.2 MB

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