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Bioelectronic Tongues Employing Electrochemical Biosensors

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Trends in Bioelectroanalysis

Part of the book series: Bioanalytical Reviews ((BIOREV,volume 6))

Abstract

This chapter presents recent advances concerning work with electronic tongues that employ electrochemical biosensors, that is, bioelectronic tongues. (Bio)electronic tongues represent a new methodological use of (bio)sensors; they start by the use of biosensor arrays and assume the coupling of the obtained complex response with advanced chemometric data treatment; the goal is improving performance of existing sensors. Most of the bioelectronic tongues reported employ enzyme biosensors, essentially based on potentiometric or voltammetric/amperometric transduction. This report is organized considering the different forms to incorporate biosensors, i.e. considering the number of biosensors in the array, the number of different enzymes used, if the determination is aimed to substrates or inhibitors, etc. Significant applications in real problem-solving, mainly in the food and clinical or environmental fields, are commented.

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Abbreviations

AA:

Arachidic acid

AChE:

Acetylcholinesterases

ADH:

Alcohol dehydrogenase

AFM:

Atomic force microscopy

ANN:

Artificial neural network

AOx:

Alcohol oxidase

AuNP:

Gold nanoparticles

BChE:

Butyrylcholinesterase

BioET:

Bioelectronic tongue

BOD:

Biological oxygen demand

BSA:

Bovine serum albumin

CDH:

Cellobiose dehydrogenase

CE:

Capillary electrophoresis

COD:

Chemical oxygen demand

CPE:

Carbon paste electrodes

CV:

Cyclic voltammetry

DAO:

Diamino oxidase

ET:

Electronic tongue

FC:

Folin–Ciocalteu (index)

FFT:

Fast Fourier transform

FIA:

Flow-injection automated analysis

GOX:

Glucose oxidase

GPCRs:

G-protein-coupled receptor

HPLC:

High-performance liquid chromatography

HRP:

Horseradish peroxidase

hTAS1R2:

Human taste receptor type 1, receptor 2

hTAS1R3:

Human taste receptor type 1, receptor 3

ISE:

Ion-selective electrode

ITO:

Indium tin oxide

K-NN:

K-nearest neighbours

LB:

Langmuir–Blodgett

LDA:

Linear discriminant analysis

MAO:

Monoamine oxidase

MC:

Microcystins

MCR:

Multiple component regression

MDC:

Multiplicative drift correction

MEA:

Microelectrode arrays

MWCNT:

Multiwalled carbon nanotubes

PCA:

Principal component analysis

PCR:

Principal component regression

PEG:

Poly(ethylene glycol)

PLS:

Partial least squares

PP1, PP2A:

Protein phosphatases

PRM:

Partial robust M regression model

Pt:

Platinum

SBP:

Soybean peroxidase

SEM:

Scanning electron microscopy

SIA:

Sequential injection automated analysis

SPE:

Screen-printed electrodes

SVM:

Support vector machines

TAO:

Tyramine oxidase

TOC:

Total organic carbon

TTF:

Tetrathiafulvalene

TYR:

Tyrosinase

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Acknowledgements

Financial support from the European Commission (Grant Agreement number 264772 – ITN CHEBANA) and from the Spanish Ministry of Economy and Innovation, MINECO (Madrid), through project CTQ2013-41577-P is gratefully acknowledged. Manel del Valle thanks the support from programme ICREA Academia. Many thanks are also debt to PhD students that completed their formation in our laboratories in the research line of BioETs: Albert Gutés, Montserrat Cortina, Manuel Gutiérrez Capitán, Xavier Cetó, Andrea Cipri and Andreu González-Calabuig.

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  1. Sensors and Biosensors Group, Chemistry Department, Universitat Autònoma de Barcelona, 08193, Bellaterra, Barcelona, Spain

    Manel del Valle

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  1. Institute of Analytical Chemistry, University of Regensburg, Regensburg, Germany

    Frank-Michael Matysik

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del Valle, M. (2016). Bioelectronic Tongues Employing Electrochemical Biosensors. In: Matysik, FM. (eds) Trends in Bioelectroanalysis. Bioanalytical Reviews, vol 6. Springer, Cham. https://doi.org/10.1007/11663_2016_2

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