Portable Electronic Tongue Based on Microsensors for the Analysis of Cava Wines

Cava is a quality sparkling wine produced in Spain. As a product with a designation of origin, Cava wine has to meet certain quality requirements throughout its production process; therefore, the analysis of several parameters is of great interest. In this work, a portable electronic tongue for the analysis of Cava wine is described. The system is comprised of compact and low-power-consumption electronic equipment and an array of microsensors formed by six ion-selective field effect transistors sensitive to pH, Na+, K+, Ca2+, Cl−, and CO32−, one conductivity sensor, one redox potential sensor, and two amperometric gold microelectrodes. This system, combined with chemometric tools, has been applied to the analysis of 78 Cava wine samples. Results demonstrate that the electronic tongue is able to classify the samples according to the aging time, with a percentage of correct prediction between 80% and 96%, by using linear discriminant analysis, as well as to quantify the total acidity, pH, volumetric alcoholic degree, potassium, conductivity, glycerol, and methanol parameters, with mean relative errors between 2.3% and 6.0%, by using partial least squares regressions.We acknowledge funding from the Spanish R & D National Program (MINECO, Projects TEC2011-29045-C04-01 and TEC2014-54449-C3-1-R). P.G.-G. is grateful to MINECO, Spain, for the financial support through a research studentship of the FPI Program. We acknowledge support by the CSIC Open Access Publication Initiative through its Unit of Information Resources for Research (URICI)

High data density near-field chipless-RFID tags with synchronous reading

Near-field chipless-RFID tags with high data density and synchronous reading capability are presented and experimentally validated in this paper. The tags consist of a chain of rectangular patches etched or printed at predefined positions on a dielectric substrate, including rigid or flexible (i.e., plastic or even paper) substrates. Patch dimensions determine the binary state, where the larger and smaller patches are associated with the logic '1' and '0' states, respectively, or vice versa. For sequentially and synchronously reading the bits, a sensitive element able to determine the presence of the patches and their size by proximity (through near field using microwaves) is considered. Such element is a microstrip line loaded with a pair of rectangular complementary split ring resonators (CSRRs), one etched inside the other in the ground plane. When the tag chain is displaced at short distance over the CSRRs, the larger patches modify the resonance frequency of both sensing CSRRs, whereas the lower patches do only alter the resonance frequency of the smaller CSRR. Consequently, the ID code is contained in the patch dimensions, and the presence of a patch (regardless of its size) determines the reading times (clock signal), necessary for synchronous reading. Tag reading in this system proceeds by feeding the CSRR-loaded line (reader) with a pair of harmonic signals tuned to the resonance frequencies of the bare CSRRs. Both signals are amplitude modulated (AM) at the output port as consequence of tag motion, and the respective envelope functions contain both the clock signal and the tag ID code. The ID codes of several 16-bit tags, implemented on different substrates (microwave substrate, plastic and paper) and exhibiting a per unit length density of 1.67 bit/cm, have been inferred with the dedicated reader for validation purposes

Portable Electronic Tongue Based on Microsensors for the Analysis of Cava Wines

Cava is a quality sparkling wine produced in Spain. As a product with a designation of origin, Cava wine has to meet certain quality requirements throughout its production process; therefore, the analysis of several parameters is of great interest. In this work, a portable electronic tongue for the analysis of Cava wine is described. The system is comprised of compact and low-power-consumption electronic equipment and an array of microsensors formed by six ion-selective field effect transistors sensitive to pH, Na+, K+, Ca2+, Cl−, and CO32−, one conductivity sensor, one redox potential sensor, and two amperometric gold microelectrodes. This system, combined with chemometric tools, has been applied to the analysis of 78 Cava wine samples. Results demonstrate that the electronic tongue is able to classify the samples according to the aging time, with a percentage of correct prediction between 80% and 96%, by using linear discriminant analysis, as well as to quantify the total acidity, pH, volumetric alcoholic degree, potassium, conductivity, glycerol, and methanol parameters, with mean relative errors between 2.3% and 6.0%, by using partial least squares regressions.info:eu-repo/semantics/publishedVersio

Cross-compensation of FET sensor drift and matrix effects in the industrial continuous monitoring of ion concentrations

Under reviewField-Effect Transistor (FET) sensors are attractive potentiometric (bio)chemical measurement devices because of their fast response, low output impedance, and potential for miniaturization in standard CMOS VLSI technologies. Yet the wide adoption of these sensors for industrial applications is still limited mainly due to temporal drift and cross-sensitivities to confounding environmental variables and chemical substances. In this paper, we demonstrate that we can apply various Machine Learning (ML) methods - including current state-of-art Artificial Neural Networks (ANNs) - to correct FET sensor non-idealities and to predict ion concentrations using multimodal raw measurements collected continuously from an array of FETs selective to target and interfering ions. We studied pH accuracy from combinatorial H+, Na+ and K+ ion-sensitive FET (ISFET) readings collected over a period of 90 consecutive days in real water quality monitoring conditions, and we estimated the predicted accuracy against reference online measurements from a commercial pH sensor. Results show that the ANN-mediated fusion of H+ with Na+ or K+ ISFET measurements gives the best accuracy with prediction RMSEs 0.048 and R2 scores > 0.91 on a test set consisting of measurements performed over the latest nine days. On average, the ANN architectures achieve a relative RMSE reduction of 73.05%, 68.22% and 9.93% over the RMSEs using a two-point, standard pH FET sensor calibration, multivariate Linear Regression (LR), and multivariate Support Vector Regression (SVR) respectively.N

Programmable Organic Chipless RFID Tags Inkjet Printed on Paper Substrates

Altres ajuts: Agència per a la Competitivitat de l'Empresa de la Generalitat de Catalunya by FEDER funds, Institució Catalana de Recerca i Estudis Avançats, and ERDF fundsIn this paper, an organic, fully recyclable and eco-friendly 20-bit inkjet-printed chipless RFID tag is presented. The tag operates in the near field and is implemented by means of chains of resonant elements. The characterization and manufacturing process of the tag, printed with a few layers of a commercial organic ink on conventional paper substrate (DIN A4), are presented, and tag functionality is demonstrated by reading it by means of a custom-designed reader. The tags are read by proximity (through the near field), by displacing them over a resonator-loaded transmission line, and each resonant element (bit) of the tag is interrogated by a harmonic signal tuned to the resonance frequency. The coupling between the reader line and the resonant elements of the tag produce and amplitude modulated (AM) signal containing the identification (ID) code of the tag

Live Demonstration: A Portable Microsensor Fusion System with Real-Time Measurement for On-Site Beverage Tasting

We demonstrate a portable multisensor fusion system for the automated analysis of multiple beverages. The system makes use of compact and low-power-consumption electronic equipment to simultaneously read out an array of microsensors formed by six ion-selective field-effect transistors (ISFETs), one conductivity sensor, one redox potential sensor, and two ampero-metric microelectrodes. A custom Python application running on a laptop computer receives real-time multivariate data via USB, and provides chemometric models to classify different varieties and to quantify relevant parameters of mineral water and wine. The software also includes a graphical user interface (GUI) to visualize readouts and analytical estimates

Dispositivo y procedimiento para medir concentración de biomasa, y uso de un elemento electrónico chip para medir dicha concentración de biomasa

[EN] The invention relates to a device for measuring the biomass concentration of a medium, including: means for measuring the change in electric impedance produced by the presence of biomass, and control and processing means for determining the biomass concentration from said means in order to measure the impedance change. The invention is characterised in that the impedance change measurement means include at least two electrodes having a suitable configuration to allow the measurement of the capacitance change of the double electric layer of the electrode/solution interface, produced by the electrostatic adhesion of the biomass. The invention is also characterised in that the processing and control means determine the biomass concentration from a calibration curve that correlates the capacitance change value with the biomass concentration. The invention also relates to the method used to measure the biomass concentration of the medium using impedance change measurement means. The invention further relates to the use of an electronic chip element for measuring biomass concentration.[ES] La invención relaciona a un dispositivo para medir la concentración de la biomasa de un medio, incluyendo: medio para medir el cambio en la impedancia eléctrica producida por la presencia de biomasa, y control y medio de procesamiento para determinar la concentración de la biomasa del medio dicho para medir el cambio de la impedancia. La invención se caracteriza en que el medio de medición del cambio de la impedancia incluye por lo menos dos electrodos que tienen una configuración adecuada para permitir la medición del cambio de la capacitancia de la capa eléctrica doble del electrodo/de la interfaz de la solución, producida por la adhesión electrostática de la biomasa. La invención también se caracteriza en que el tratamiento y el medio de control determinan la concentración de la biomasa de una curva de calibración que correlacione el valor del cambio de la capacitancia con la concentración de la biomasa. La invención también relaciona al método utilizado para medir la concentración de la biomasa del medio usando medio de medición del cambio de la impedancia. La invención más futura relaciona al uso de un elemento electrónico del chip para la concentración de la biomasa de la medición.Peer reviewedConsejo Superior de Investigaciones Científicas (España),Universidad Autonoma de BarcelonaA1 Solicitud de patente con informe sobre el estado de la técnic