Influence of the Flow Rate in an Automated Microfluidic Electronic Tongue Tested for Sucralose Differentiation

Incorporating electronic tongues into microfluidic devices brings benefits as dealing with small amounts of sample/discharge. Nonetheless, such measurements may be time-consuming in some applications once they require several operational steps. Here, we designed four collinear electrodes on a single printed circuit board, further comprised inside a straight microchannel, culminating in a robust e-tongue device for faster data acquisition. An analog multiplexing circuit automated the signal’s routing from each of the four sensing units to an impedance analyzer. Both instruments and a syringe pump are controlled by dedicated software. The automated e-tongue was tested with four Brazilian brands of liquid sucralose-based sweeteners under 20 different flow rates, aiming to systematically evaluate the influence of the flow rate in the discrimination among sweet tastes sold as the same food product. All four brands were successfully distinguished using principal component analysis of the raw data, and despite the nearly identical sucralose-based taste in all samples, all brands’ significant distinction is attributed to small differences in the ingredients and manufacturing processes to deliver the final food product. The increasing flow rate improves the analyte’s discrimination, as the silhouette coefficient reaches a plateau at ~3 mL/h. We used an equivalent circuit model to evaluate the raw data, finding a decrease in the double-layer capacitance proportional to improvements in the samples’ discrimination. In other words, the flow rate increase mitigates the formation of the double-layer, resulting in faster stabilization and better repeatability in the sensor response.

[1]  D. Correa,et al.  Impedimetric electronic tongue based on molybdenum disulfide and graphene oxide for monitoring antibiotics in liquid media. , 2020, Talanta.

[2]  Z. Kovács,et al.  Factors Influencing the Long-Term Stability of Electronic Tongue and Application of Improved Drift Correction Methods , 2020, Biosensors.

[3]  F. Shimizu,et al.  Electronic Tongues , 2020, Smart Sensors for Environmental and Medical Applications.

[4]  P. Arratia,et al.  Microfluidic Mixer with Automated Electrode Switching for Sensing Applications , 2020, Chemosensors.

[5]  Manel del Valle,et al.  Voltammetric Electronic Tongue for the Simultaneous Determination of Three Benzodiazepines , 2019, Sensors.

[6]  A. Riul,et al.  3D-Printed Graphene Electrodes Applied in an Impedimetric Electronic Tongue for Soil Analysis , 2019, Chemosensors.

[7]  G. Varela-Moreiras,et al.  Novel database of declared low- and no-calorie sweeteners from foods and beverages available in Spain , 2019, Journal of Food Composition and Analysis.

[8]  C. Ross,et al.  Detection of Spicy Compounds Using the Electronic Tongue. , 2019, Journal of food science.

[9]  Pedro M. C. Inácio,et al.  Insight into the sensing mechanism of an impedance based electronic tongue for honey botanic origin discrimination , 2019, Sensors and Actuators B: Chemical.

[10]  D. Diamond,et al.  Paper based electronic tongue - a low-cost solution for the distinction of sugar type and apple juice brand. , 2019, The Analyst.

[11]  S. Lemos,et al.  A simple voltammetric electronic tongue for the analysis of coffee adulterations. , 2019, Food chemistry.

[12]  J. Lindner,et al.  Sweeteners and sweet taste enhancers in the food industry , 2018 .

[13]  Osvaldo N. Oliveira,et al.  Functionalization-Free Microfluidic Electronic Tongue Based on a Single Response. , 2017, ACS sensors.

[14]  Osvaldo N. Oliveira,et al.  Information Visualization and Feature Selection Methods Applied to Detect Gliadin in Gluten-Containing Foodstuff with a Microfluidic Electronic Tongue. , 2017, ACS applied materials & interfaces.

[15]  Marystela Ferreira,et al.  High performance of electrochemical sensors based on LbL films of gold nanoparticles, polyaniline and sodium montmorillonite clay mineral for simultaneous detection of metal ions , 2017 .

[16]  Maria Luisa Braunger,et al.  Microfluidic Electronic Tongue Applied to Soil Analysis , 2017 .

[17]  Joseph J. Richardson,et al.  Technology-driven layer-by-layer assembly of nanofilms , 2015, Science.

[18]  Maria H. O. Piazzetta,et al.  Microfluidic electronic tongue , 2015 .

[19]  N. Kim,et al.  Evaluation of taste-masking effects of pharmaceutical sweeteners with an electronic tongue system , 2014, Drug development and industrial pharmacy.

[20]  J. Valsa,et al.  Network Model of the CPE , 2011 .

[21]  Alisa Rudnitskaya,et al.  Assessment of bitterness intensity and suppression effects using an Electronic Tongue , 2009 .

[22]  Y. Lee Intermolecular and Colloidal Forces , 2007 .

[23]  L. H. C. Mattoso,et al.  Correlation Between Human Panel and Electronic Tongue Responses on the Analysis of Commercial Sweeteners , 2006 .

[24]  C. Di Natale,et al.  Nonspecific sensor arrays ("electronic tongue") for chemical analysis of liquids (IUPAC Technical Report) , 2005 .

[25]  Kiyoshi Toko,et al.  Study of sweet taste evaluation using taste sensor with lipid/polymer membranes. , 2004, Biosensors & bioelectronics.

[26]  S. V. Mello,et al.  An electronic tongue using polypyrrole and polyaniline , 2003 .

[27]  Mia Hubert,et al.  Clustering in an object-oriented environment , 1997 .

[28]  Kiyoshi Toko,et al.  Taste sensor with global selectivity , 1996 .

[29]  P. Rousseeuw Silhouettes: a graphical aid to the interpretation and validation of cluster analysis , 1987 .

[30]  A. G. Macdonald,et al.  AC admittance of the metal/insulator/electrolyte interface , 1987 .

[31]  J. D. Winefordner,et al.  Limit of detection. A closer look at the IUPAC definition , 1983 .

[32]  C. M. Daikuzono,et al.  A Microfluidic E-Tongue System Using Layer-by-Layer Films Deposited onto Interdigitated Electrodes Inside a Polydimethylsiloxane Microchannel. , 2019, Methods in molecular biology.

[33]  A. Lasia Electrochemical Impedance Spectroscopy and its Applications , 2014 .

[34]  Fernando J. Fonseca,et al.  Artificial Taste Sensor: Efficient Combination of Sensors Made from Langmuir−Blodgett Films of Conducting Polymers and a Ruthenium Complex and Self-Assembled Films of an Azobenzene-Containing Polymer , 2002 .