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Andrey Legin - One of the best experts on this subject based on the ideXlab platform.
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Electronic Tongue: Chemical Sensor Systems for Analysis of Aquatic Media
Russian Journal of General Chemistry, 2008Co-Authors: Yu. G. Vlasov, Andrey Legin, Alisa RudnitskayaAbstract:The history of development of “Electronic Tongue” multisensor systems whose operation is underlain by principles close to those in biological sensory systems was briefly overviewed. The main types of “Electronic Tongue” systems developed by now were described, along with sensor materials and sensors applied in such systems. The most widespread applications of “Electronic Tongues” were discussed including those for recognition and classification of liquid media, quantitative analysis of various components in these liquids, smart monitoring of industrial processes, and evaluation of the type and intensity of the flavor of various foodstuffs and drugs.
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Prediction of the Port wine age using an Electronic Tongue
Chemometrics and Intelligent Laboratory Systems, 2007Co-Authors: Alisa Rudnitskaya, Andrey Legin, Ivonne Delgadillo, Sílvia M. Rocha, A. C. F. M. Costa, Tomás SimõesAbstract:Abstract The Electronic Tongue multisensor system was applied to the measurements in about 160 samples of the Port wines of different ages (from 2 to 70 years old) and of different types including Tawnies, Vintages, Late Bottled Vintage (LBV) and harvest wines. Multivariate calibration for the prediction of the Port wine age was made applying PLS regression to the Electronic Tongue and chemical analysis data. Orthogonal signal correction (OSC) was evaluated as data pre-processing method. OSC filtering was applied to the both data sets and the results were compared. The age of the Port wine was predicted with similar accuracy using both Electronic Tongue and chemical analysis data. The accuracy of age prediction was improved to about 1.5 years when using only the samples aged from 10 to 35 years for the calibration. This appears to be acceptable for the practical applications.
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analysis of apples varieties comparison of Electronic Tongue with different analytical techniques
Sensors and Actuators B-chemical, 2006Co-Authors: Alisa Rudnitskaya, Andrey Legin, Dmitri Kirsanov, Katrien Beullens, Jeroen Lammertyn, Bart Nicolai, Joseph IrudayarajAbstract:The present study was aimed at application of rapid analytical techniques such as Electronic Tongue and FTIR spectroscopy to the recognition and quantitative analysis of different apple varieties. Five apple varieties were studied using three different analytical techniques: HPLC, Electronic Tongue multisensor system based on potentiometric chemical sensors and FTIR spectroscopy. Twenty samples (apples) of each variety were measured. Concentrations of organic acids such as malic, citric, galacturonic etc. and sugars were measured by HPLC, which is a conventional method for fruit analysis. HPLC data were used as reference for calibration of the Electronic Tongue and FTIR. Different aspects of data processing were addressed. Recognition and classification of the apples according to variety was performed by PCA and PLS DISCRIM using the data from three different analytical instruments. Quantitative calibration of the Electronic Tongue and FTIR with respect to organic acids content was performed using PLS regression. Different approaches to data merging from two different analytical instruments, ET and ATR-FTIRT, were considered. Low-level data fusion was found to be the most effective for ET and ATR-FTIR.
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the Electronic Tongue and atr ftir for rapid detection of sugars and acids in tomatoes
Sensors and Actuators B-chemical, 2006Co-Authors: Katrien Beullens, Alisa Rudnitskaya, Andrey Legin, Bart Nicolai, Joseph Irudayaraj, Dmitriy Kirsanov, Jeroen LammertynAbstract:Abstract The Electronic Tongue and attenuated total reflectance–Fourier transform infrared spectroscopy (ATR–FTIR) have been evaluated as novel rapid techniques in taste research. The Electronic Tongue, consisting of 27 potentiometric sensors, and ATR–FTIR, a well-established spectroscopic technique, have been used to determine the sugar and acid profile of four tomato cultivars: Aranca, Climaks, Clotilde and DRW 73-29. The most abundant sugars (glucose, fructose and sucrose) and organic acids (citric acid, malic acid, tartaric acid, fumaric acid and succinic acid) in tomatoes were measured with HPLC as a traditional reference technique. The ability of the novel techniques to detect differences in sugar and acid profiles between these four tomato cultivars has been studied by means of unsupervised and supervised multivariate data analysis techniques such as principal components analysis (PCA) and canonical discriminant analysis (CDA). Canonical correlation analysis (CCA) was applied to compare the information content of the reference technique with that of the Electronic Tongue and ATR–FTIR. The potential of both the Electronic Tongue and ATR–FTIR to predict the chemical composition of a sample has been evaluated using partial least squares (PLS) models. Both the Electronic Tongue and ATR–FTIR have the potential to measure taste determining compounds. Tomato cultivars can be classified based on their sugar and acid profile. However, the prediction of individual components in tomato juice is still inaccurate and needs further optimization.
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nonspecific sensor arrays Electronic Tongue for chemical analysis of liquids iupac technical report
International Conference on Control and Automation, 2005Co-Authors: Yu. G. Vlasov, Alisa Rudnitskaya, Andrey Legin, C Di Natale, Arnaldo DamicoAbstract:The history of the development of potentiometric sensors over the past century demonstrates progress in constructing single, discrete (i.e., separate, to distinguish from sensor arrays) ion sensors, which have been made as selective as possible. Only a few types reveal high selectivity. However, easy measurement procedure, with low cost and availability, give rise to the search for new ways for their successful application. The present document describes a new concept for application of potentiometric multisensor systems, viz., sensor arrays for solution analysis, and the performance of this new analytical tool-the "Electronic Tongue". The Electronic Tongue is a multisensor system, which consists of a number of low-selective sensors and uses advanced mathematical procedures for signal processing based on the pattern recognition (PARC) and/or multivariate analysis [artificial neural networks (ANNs), principal component analysis (PCA), etc.]. Definitions of the multisensor systems and their parameters are suggested. Results from the application of the Electronic Tongue, both for quantitative and qualitative analysis of different mineral water and wine samples, are presented and discussed.
Alisa Rudnitskaya - One of the best experts on this subject based on the ideXlab platform.
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Determination of paralytic shellfish toxins using potentiometric Electronic Tongue
Sensors and Actuators B: Chemical, 2018Co-Authors: Marco G.n. Cruz, Nádia S. Ferreira, M.t.s.r. Gomes, Maria João Botelho, Sara T. Costa, Carlos Vale, Alisa RudnitskayaAbstract:Abstract Paralytic shellfish toxins (PSTs) are monitored in commercial bivalves in several countries in the world due to their toxicity to human consumers. The present work examines the application of an Electronic Tongue based on potentiometric chemical sensors to the quantification of PSTs in mussel extracts. The Electronic Tongue comprised six miniaturized sensors with solid inner contact and plasticized polyvinylchloride membranes. Calibration models were calculated by PLS regression using measurements in sixteen model mixed solutions containing four PSTs commonly found in bivalves from the Portuguese coast. Transfer of the calibration models to sample matrix was done by joint-PLS regression using measurements in five mussel extracts spiked with PST standards. Quantification of PSTs in extracts of naturally contaminated mussels, using the Electronic Tongue and updated calibration model, was in agreement with values of the chromatographic reference method. Those sensors alone or combined in an Electronic Tongue are useful tools for rapid screening of PST in bivalves.
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Electronic Tongue: Chemical Sensor Systems for Analysis of Aquatic Media
Russian Journal of General Chemistry, 2008Co-Authors: Yu. G. Vlasov, Andrey Legin, Alisa RudnitskayaAbstract:The history of development of “Electronic Tongue” multisensor systems whose operation is underlain by principles close to those in biological sensory systems was briefly overviewed. The main types of “Electronic Tongue” systems developed by now were described, along with sensor materials and sensors applied in such systems. The most widespread applications of “Electronic Tongues” were discussed including those for recognition and classification of liquid media, quantitative analysis of various components in these liquids, smart monitoring of industrial processes, and evaluation of the type and intensity of the flavor of various foodstuffs and drugs.
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Prediction of the Port wine age using an Electronic Tongue
Chemometrics and Intelligent Laboratory Systems, 2007Co-Authors: Alisa Rudnitskaya, Andrey Legin, Ivonne Delgadillo, Sílvia M. Rocha, A. C. F. M. Costa, Tomás SimõesAbstract:Abstract The Electronic Tongue multisensor system was applied to the measurements in about 160 samples of the Port wines of different ages (from 2 to 70 years old) and of different types including Tawnies, Vintages, Late Bottled Vintage (LBV) and harvest wines. Multivariate calibration for the prediction of the Port wine age was made applying PLS regression to the Electronic Tongue and chemical analysis data. Orthogonal signal correction (OSC) was evaluated as data pre-processing method. OSC filtering was applied to the both data sets and the results were compared. The age of the Port wine was predicted with similar accuracy using both Electronic Tongue and chemical analysis data. The accuracy of age prediction was improved to about 1.5 years when using only the samples aged from 10 to 35 years for the calibration. This appears to be acceptable for the practical applications.
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analysis of apples varieties comparison of Electronic Tongue with different analytical techniques
Sensors and Actuators B-chemical, 2006Co-Authors: Alisa Rudnitskaya, Andrey Legin, Dmitri Kirsanov, Katrien Beullens, Jeroen Lammertyn, Bart Nicolai, Joseph IrudayarajAbstract:The present study was aimed at application of rapid analytical techniques such as Electronic Tongue and FTIR spectroscopy to the recognition and quantitative analysis of different apple varieties. Five apple varieties were studied using three different analytical techniques: HPLC, Electronic Tongue multisensor system based on potentiometric chemical sensors and FTIR spectroscopy. Twenty samples (apples) of each variety were measured. Concentrations of organic acids such as malic, citric, galacturonic etc. and sugars were measured by HPLC, which is a conventional method for fruit analysis. HPLC data were used as reference for calibration of the Electronic Tongue and FTIR. Different aspects of data processing were addressed. Recognition and classification of the apples according to variety was performed by PCA and PLS DISCRIM using the data from three different analytical instruments. Quantitative calibration of the Electronic Tongue and FTIR with respect to organic acids content was performed using PLS regression. Different approaches to data merging from two different analytical instruments, ET and ATR-FTIRT, were considered. Low-level data fusion was found to be the most effective for ET and ATR-FTIR.
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the Electronic Tongue and atr ftir for rapid detection of sugars and acids in tomatoes
Sensors and Actuators B-chemical, 2006Co-Authors: Katrien Beullens, Alisa Rudnitskaya, Andrey Legin, Bart Nicolai, Joseph Irudayaraj, Dmitriy Kirsanov, Jeroen LammertynAbstract:Abstract The Electronic Tongue and attenuated total reflectance–Fourier transform infrared spectroscopy (ATR–FTIR) have been evaluated as novel rapid techniques in taste research. The Electronic Tongue, consisting of 27 potentiometric sensors, and ATR–FTIR, a well-established spectroscopic technique, have been used to determine the sugar and acid profile of four tomato cultivars: Aranca, Climaks, Clotilde and DRW 73-29. The most abundant sugars (glucose, fructose and sucrose) and organic acids (citric acid, malic acid, tartaric acid, fumaric acid and succinic acid) in tomatoes were measured with HPLC as a traditional reference technique. The ability of the novel techniques to detect differences in sugar and acid profiles between these four tomato cultivars has been studied by means of unsupervised and supervised multivariate data analysis techniques such as principal components analysis (PCA) and canonical discriminant analysis (CDA). Canonical correlation analysis (CCA) was applied to compare the information content of the reference technique with that of the Electronic Tongue and ATR–FTIR. The potential of both the Electronic Tongue and ATR–FTIR to predict the chemical composition of a sample has been evaluated using partial least squares (PLS) models. Both the Electronic Tongue and ATR–FTIR have the potential to measure taste determining compounds. Tomato cultivars can be classified based on their sugar and acid profile. However, the prediction of individual components in tomato juice is still inaccurate and needs further optimization.
Fredrik Winquist - One of the best experts on this subject based on the ideXlab platform.
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A miniaturized voltammetric Electronic Tongue
Analytical Letters, 2008Co-Authors: Fredrik Winquist, C. Krantz-rülcker, I. LundstromAbstract:Abstract A miniaturized Electronic Tongue based on pulsed voltammetry has been developed. It was made by inserting three types of wires acting as working electrodes (gold, platinum, and rhodium; diameter 0.25 mm) into a platinum tube acting as a counter electrode (diameter 2 mm; length 4 mm). The arrangement was connected to a potentiostat controlled by a computer. Due to the small size of the miniaturized Electronic Tongue, and since no reference electrode is used, the setup is very simple and convenient. In order to characterize the analytical possibilities of the miniaturized Electronic Tongue, some initial experiments were performed. These include the determination of trace amounts of cadmium and lead (in the µM range) in 5 µL samples. Furthermore, the setup was placed under the real Tongue of a volunteer to follow saliva composition during exercise.
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A self polishing Electronic Tongue
Sensors and Actuators B-chemical, 2006Co-Authors: John Olsson, Fredrik Winquist, I. LundstromAbstract:An investigation to obtain reproducible measurements with a pulse voltammetric Electronic Tongue has lead to the development of self polishing device. A grit paper covered bar rotating over the wor ...
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An Electronic Tongue in the dairy industry
Sensors and Actuators B-chemical, 2005Co-Authors: Fredrik Winquist, I. Lundstrom, C. Krantz-rülcker, Robert B. Bjorklund, Karin Östergren, Tomas SkoglundAbstract:The concept of Electronic Tongues or taste sensors has developed rapidly during recent years due to their large potential. They are based on electrochemical sensors combined with multivariate data analysis. Voltammetric Electronic Tongues have proven valuable in many applications. Due to their ruggedness and simplicity, they have been found especially suitable for on-line monitoring of industrial processes. A voltammetric Electronic Tongue, specially designed for use in the dairy industry is described. It consisted of four working electrodes (gold, platinum, rhodium and stainless steel), embedded in PEEK (TM). It was mounted in a housing of stainless steel, which was inserted in the process line for direct on-line measurements. The voltammetric Electronic Tongue was used to follow different sources of milk coming into the process and to monitor the cleaning process. (c) 2005 Elsevier B.V. All rights reserved.
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Supervision of rinses in a washing machine by a voltammetric Electronic Tongue
Sensors and Actuators B: Chemical, 2005Co-Authors: Patrik Ivarsson, Fredrik Winquist, C. Krantz-rülcker, Madeleine Johansson, Nils-erik Höjer, I. LundstromAbstract:A study that investigates if it is possible to discriminate between the different rinses in a household washing machine with a voltammetric Electronic Tongue is concluded. The voltammetric Electronic Tongue applies a potential pulse train over two electrodes and measures the produced current. Multivariate data analysis is used to treat the data. In this paper, a simplified Electronic Tongue, with only 5% of the original current responses, is used. The rinses from 20 machine wash runs with four different prerequisites are investigated. Principal component analysis (PCA) and Soft-independent modelling of class analogy (SIMCA) are used in order to classify the rinses. In PCA, only one of the rinses is classified erroneous, and in SIMCA none of the rinses are classified only to the wrong class, although 38% of the rinses are classitied to more than one class. (c) 2005 Elsevier B.V. All rights reserved.
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Use of an Electronic Tongue to analyze mold growth in liquid media.
International journal of food microbiology, 2003Co-Authors: C. Söderström, Fredrik Winquist, Hans Borén, C. Krantz-rülckerAbstract:The feasibility of employing an Electronic Tongue to measure the growth of mold in a liquid medium was studied. We used the Electronic Tongue developed at Linkoping University, which is based on pulsed voltammetry and consists of an array of different metal electrodes. Instead of focusing on a single parameter, this device provides information about the condition or quality of a sample or process. Accordingly, the data obtained are complex, and multivariate methods such as principal component analysis (PCA) or projection to latent structures (PLS) are required to extract relevant information. A gas chromatographic technique was developed to measure ergosterol content in mold biomass and was subsequently used as a reference method to investigate the ability of the Electronic Tongue to measure the growth of mold in liquid media. The result shows that the Electronic Tongue can monitor mold growth in liquids. In PLS analysis, the Electronic Tongue signals correlate well with the amount of ergosterol in the mold biomass as well as the microbially induced changes in the pH of the medium.
I. Lundstrom - One of the best experts on this subject based on the ideXlab platform.
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A miniaturized voltammetric Electronic Tongue
Analytical Letters, 2008Co-Authors: Fredrik Winquist, C. Krantz-rülcker, I. LundstromAbstract:Abstract A miniaturized Electronic Tongue based on pulsed voltammetry has been developed. It was made by inserting three types of wires acting as working electrodes (gold, platinum, and rhodium; diameter 0.25 mm) into a platinum tube acting as a counter electrode (diameter 2 mm; length 4 mm). The arrangement was connected to a potentiostat controlled by a computer. Due to the small size of the miniaturized Electronic Tongue, and since no reference electrode is used, the setup is very simple and convenient. In order to characterize the analytical possibilities of the miniaturized Electronic Tongue, some initial experiments were performed. These include the determination of trace amounts of cadmium and lead (in the µM range) in 5 µL samples. Furthermore, the setup was placed under the real Tongue of a volunteer to follow saliva composition during exercise.
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A self polishing Electronic Tongue
Sensors and Actuators B-chemical, 2006Co-Authors: John Olsson, Fredrik Winquist, I. LundstromAbstract:An investigation to obtain reproducible measurements with a pulse voltammetric Electronic Tongue has lead to the development of self polishing device. A grit paper covered bar rotating over the wor ...
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An Electronic Tongue in the dairy industry
Sensors and Actuators B-chemical, 2005Co-Authors: Fredrik Winquist, I. Lundstrom, C. Krantz-rülcker, Robert B. Bjorklund, Karin Östergren, Tomas SkoglundAbstract:The concept of Electronic Tongues or taste sensors has developed rapidly during recent years due to their large potential. They are based on electrochemical sensors combined with multivariate data analysis. Voltammetric Electronic Tongues have proven valuable in many applications. Due to their ruggedness and simplicity, they have been found especially suitable for on-line monitoring of industrial processes. A voltammetric Electronic Tongue, specially designed for use in the dairy industry is described. It consisted of four working electrodes (gold, platinum, rhodium and stainless steel), embedded in PEEK (TM). It was mounted in a housing of stainless steel, which was inserted in the process line for direct on-line measurements. The voltammetric Electronic Tongue was used to follow different sources of milk coming into the process and to monitor the cleaning process. (c) 2005 Elsevier B.V. All rights reserved.
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Supervision of rinses in a washing machine by a voltammetric Electronic Tongue
Sensors and Actuators B: Chemical, 2005Co-Authors: Patrik Ivarsson, Fredrik Winquist, C. Krantz-rülcker, Madeleine Johansson, Nils-erik Höjer, I. LundstromAbstract:A study that investigates if it is possible to discriminate between the different rinses in a household washing machine with a voltammetric Electronic Tongue is concluded. The voltammetric Electronic Tongue applies a potential pulse train over two electrodes and measures the produced current. Multivariate data analysis is used to treat the data. In this paper, a simplified Electronic Tongue, with only 5% of the original current responses, is used. The rinses from 20 machine wash runs with four different prerequisites are investigated. Principal component analysis (PCA) and Soft-independent modelling of class analogy (SIMCA) are used in order to classify the rinses. In PCA, only one of the rinses is classified erroneous, and in SIMCA none of the rinses are classified only to the wrong class, although 38% of the rinses are classitied to more than one class. (c) 2005 Elsevier B.V. All rights reserved.
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A hybrid Electronic Tongue.
Analytica Chimica Acta, 2000Co-Authors: Fredrik Winquist, Peter Wide, C. Krantz-rülcker, Susanne Holmin, I. LundstromAbstract:Abstract A hybrid Electronic Tongue is described based on a combination of potentiometry, voltammetry and conductivity. It was used for classification of six different types of fermented milk. Using ion-selective electrodes, pH, carbon dioxide and chloride ion concentrations were measured. The voltammetric Electronic Tongue consisted of six working electrodes of different metals (gold, iridium, palladium, platinum, rhenium and rhodium) and an Ag/AgCl reference electrode. The measurement principle is based on pulse voltammetry in which current transients are measured due to the onset of voltage pulses at decreasing potentials. The data obtained from the measurements were treated by multivariate data processing based on principal components analysis and an artificial neural net. The hybrid Tongue could separate all six samples. Also, the nature of the micro-organisms in the different fermentations was reflected in the principal component analysis.
Andras Fekete - One of the best experts on this subject based on the ideXlab platform.
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Temperature correction of Electronic Tongue measurement results
Acta Alimentaria, 2013Co-Authors: András Bíró Nagy, Zoltan Kovacs, Dániel Szöllosi, Andras FeketeAbstract:The potentiometric Electronic Tongue is a new and rapidly developing technique. However, the description of the exact working mechanism is still absent. An important part of this description is the effect of the sample temperature on the measurement results. The paper reported here gives a description of the effect of temperature on results obtained with an α-Astree potentiometric Electronic Tongue. The yielded model was used to perform a temperature correction as if the samples were measured at room temperature (25 °c).
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Analysis of Differently Roasted Arabica Coffee Samples by Electronic Tongue
2013 Kansas City Missouri July 21 - July 24 2013, 2013Co-Authors: Zoltan Kovacs, Dániel Szöllosi, E. Várvölgyi, Lajos Dénes Dénes, Andras FeketeAbstract:Abstract. In the coffee industry the degree of roast is determined by visual inspection of the color of the coffee beans or by measurement of the ground beans light reflectance. Because of the lack of an exact method the actual under and/or over roasting of the coffee can result in an off-flavor of the brewed coffee. The purpose of the work reported here was to reveal the possible off-flavors of differently roasted Arabica coffee samples by sensory evaluation and to check the ability of the Electronic Tongue to discriminate the samples by their degree of roast. Further aim was to find relationship between the results of color measurement and Electronic Tongue and to predict the degree of roast of some commercial coffee samples by the Electronic Tongue. For these purposes six differently roasted Arabica coffees and five commercial 100% Arabica coffee samples were analyzed. The attributes evaluated by the panelists were as follows: global aroma, acidic, bitter, roasted and coffee taste intensity and also the presence of the possible off-flavors. The results of the Electronic Tongue tests showed definite discrimination among the differently roasted coffee samples. The main differences were found between the light roasted and intensively roasted coffee samples (PC1-96.8%, PC2-3%). The degree of roast (color) was predicted by Electronic Tongue data with an R2 of 0.88. Among the sensory properties the prediction of the roasted attribute was the best, resulted an R2 of 0.9.
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discrimination of mineral waters by Electronic Tongue sensory evaluation and chemical analysis
Food Chemistry, 2012Co-Authors: Laszlo Sipos, Zoltan Kovacs, Zoltan Kokai, Andras Fekete, Virag Sagikiss, Timea Csiki, Károly HébergerAbstract:Mineral, spring and tap water samples of different geographical origins (7 classes) were distinguished by various methods, such as sensory evaluation, Electronic Tongue measurement, inductively coupled plasma atomic emission spectroscopy and ion chromatography. Samples from the same geographical origin were correctly classified by chemical analysis and Electronic Tongue (100%), but it was found that only 80% classification rate can be achieved by sensory evaluation. Different water brands (different brand names) from the same geographical origin did not show definite differences, as expected. Forward stepwise algorithm selected three chemical parameters namely, chloride (Cl ), sulphate (SO4 2 ) and magne
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Sweetener Recognition and Taste Prediction of Coke Drinks by Electronic Tongue
IEEE Sensors Journal, 2012Co-Authors: Dániel Szöllosi, Laszlo Sipos, Zoltan Kovacs, Zoltan Kokai, Attila Gere, Andras FeketeAbstract:Natural and artificial sweetener monitoring methods are getting more important, since soft drinks with low energy play a considerable role in the market. Our objective is to describe the relevant sensory attributes and to determine the applicability of the Electronic Tongue to discriminate the coke drink samples with different sweeteners. Furthermore, the aim is to find a relationship between the taste attributes and measurement results received by the Electronic Tongue. An Alpha astree Electronic Tongue and a trained sensory panel are used to evaluate coke samples. Panelists found significant differences between the samples in 13 cases from the 18 sensory attributes defined previously by the consensus group. The samples are definitely distinguished by the Electronic Tongue. The main difference is found according to the sweetener content of the samples. The Electronic Tongue is able to distinguish samples containing different kinds of artificial and natural sweeteners, as well. The Electronic Tongue is able to predict, by the partial least squares regression method, the taste attributes of the coke drinks determined by the sensory panel with close correlation and low prediction error.
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Application of Electronic Tongue for distinguishing coffee samples and predicting sensory attributes
Progress in Agricultural Engineering Sciences, 2012Co-Authors: E. Várvölgyi, Zoltan Kovacs, Dániel Szöllősi, Sz. Kozits, J. Soós, Andras FeketeAbstract:Efforts have been made to predict the sensory profile of coffee samples by instrumental measurement results. The objective of the work was to evaluate the most important sensory attributes of coffee samples prepared from ground roasted coffee by Electronic Tongue and by sensory panel. Further aim was to predict the Arabica concentration and the main sensory attributes of the different coffee blends by Electronic Tongue and to analyze the sensitivity of the Electronic Tongue to the detection of poor quality coffee samples. Five coffee blends with known Arabica and Robusta concentration ratio, five commercially available coffee blends and a poor quality coffee were analyzed. The Electronic Tongue distinguished the coffee samples according to the Arabica and Robusta content. The sensory panel was able to discriminate the samples based on global aroma, bitterness and coffee aroma intensity (p < 0.01). The Arabica concentration was predicted from the Electronic Tongue results by PLS with close correlation and ...