Abstract Detection of Biogenic Amines in Canned Tuna Using a Voltammetric Electronic Tongue † Marta Bonet-San-Emeterio , Maria Bruguera-Jané, Xavier Cetó and Manel del Valle * Sensors and Biosensors Group, Chemistry Department, Universitat Autònoma de Barcelona, 08193 Bellaterra, Spain; marta.bonet@uab.cat (M.B.-S.-E.); maria.brugueraj@e-campus.uab.cat (M.B.-J.); xavier.ceto@uab.es (X.C.) * Correspondence: manel.delvalle@uab.cat † Presented at the 8th International Symposium on Sensor Science, 17–28 May 2021; Available online: https://i3s2021dresden.sciforum.net/. Abstract: Biogenic amines (BAs), which are produced naturally due to the decomposition of amino acids, are crucial for the food industry because its formation is directly related to improper storage and the presence of bacteria. High concentrations of BAs can be easily related with the quality and spoilage of the products of this sector. The necessity to quickly and efficiently quantify these targets makes mandatory the use of alternatives to conventional analytical methods used up to now. For example, the combination of sensors with chemometric tools (known as electronic tongue) are a promising alternative for quick and informative analysis in the food sector. Chemometric tools allow us to develop models for the quantification of specific compounds in a complex matrix, making it a feasible tool for the development of more user-friendly methods than the traditional ones. In this context, the work presents an electronic tongue created for the detection of histamine, cadaverine and tyramine using a set of five modified GEC (graphite epoxy composite) electrodes: ZnO NPs,   CuO NPs, SnO2 NPs, Bi2 O3 NPs, and polypyrrole, as the voltammetric multisensor array. The chemometric model was obtained with an Artificial Neural Network (ANN) with 51 input neurons, Citation: Bonet-San-Emeterio, M.; Bruguera-Jané, M.; Cetó, X.; del Valle, five neurons in the hidden layer and three neurons in the output layer. The functions used for the M. Detection of Biogenic Amines in hidden and output layers were tansig and purelin, respectively. The results show slopes near to 1 Canned Tuna Using a Voltammetric and intercepts close to 0, indicating the feasibility of the model. Electronic Tongue. Eng. Proc. 2021, 6, 41. https://doi.org/10.3390/ Keywords: artificial neural networks; electronic tongue; biogenic amines; histamine; voltammetry I3S2021Dresden-10169 Academic Editors: Gianaurelio Cuniberti and Larysa Baraban Published: 21 May 2021 Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affil- iations. Copyright: © 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https:// creativecommons.org/licenses/by/ 4.0/). Eng. Proc. 2021, 6, 41. https://doi.org/10.3390/I3S2021Dresden-10169 https://www.mdpi.com/journal/engproc