A voltammetric electronic tongue made of modified epoxy-graphite electrodes for the qualitative analysis of wine

Gutiérrez, Juan Manuel; Moreno‐Barón, Laura; Pividori, María Isabel; Alegret, Salvador; Valle, Manel del

doi:10.1007/s00604-010-0351-z

Cited by 56 publications

(48 citation statements)

References 36 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…glucose) present. Similarly, sensors modified using conducting polymers bring new information depending on the type of cava considered [5].…”

Section: Voltammetric Responsesmentioning

confidence: 99%

“…An array of 5 graphite-epoxy voltammetric sensors made with different modifiers added to the bulk mixture were selected according with previous study in our laboratory with wines ( Figure 1) [5]. Four of them were modified by adding components as nanoparticles of copper, platinum or conducting polymer in powder like polyaniline and polypyrrole (Sigma-Aldrich, St. Louis, USA) -one component per sensor [22][23][24][25].…”

Section: Electrodes and Measurement Cellmentioning

confidence: 99%

“…The proposed method is known as Electronic Tongue (ET); this approach is formed by an array of sensors capable of giving a wide and complete response of the analyzed species, plus a chemometric processing tool, capable of extracting meaningful data from the complex readings [2][3][4]. Although the use of electronic tongues in the analysis of liquids has been widely described over the past decade, there are only some papers directly related to the world of wine [5][6][7][8][9]. The few studies which involve the study of sparkling wines as Cava often use other analysis techniques instead of ET, such as: gas chromatography (GC) [10], mass spectrometry (MS) [11] and some other atomic spectrometry techniques [12].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Voltammetric Electronic Tongue in the Analysis of Cava Wines

et al. 2010

Self Cite

View full text Add to dashboard Cite

This work demonstrates the use of a voltammetric electronic tongue formed by five modified graphite-epoxy electrodes in the qualitative and quantitative analysis of cava wines. The different samples were analyzed using cyclic voltammetry without any sample pretreatment. Recorded data were evaluated by Principal Component Analysis and Discrete Wavelet Transform in order to compress and extract significant features from the voltammetric signals. The preprocessed information was evaluated by an Artificial Neural Network that accomplishes the qualitative classification. Moreover, a preliminary study related to the quantification of sugar amount present was assessed by Second-Order Standard Addition Method.

show abstract

“…glucose) present. Similarly, sensors modified using conducting polymers bring new information depending on the type of cava considered [5].…”

Section: Voltammetric Responsesmentioning

confidence: 99%

Section: Electrodes and Measurement Cellmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Voltammetric Electronic Tongue in the Analysis of Cava Wines

et al. 2010

Self Cite

View full text Add to dashboard Cite

show abstract

“…including mass, optic, electrical or electrochemical transduction (Baldwin, Bai, Plotto, & Dea, 2011;Haddi et al, 2014;Riul, Dantas, Miyazaki, & Oliveira, 2010;Rodríguez-M endez, Medina, De Saja, Apetrei, & Muñoz, 2012;Sghaier, Barhoumi, Maaref, Siadat, & JaffrezicRenault, 2009;Sliwinska, Wisniewska, Dymerski, Namiesnik, & Wardencki, 2014;Smyth & Cozzolino, 2013). Arrays of electrochemical sensors have been successfully used to discriminate between wines with different organoleptic characteristics Cet o, Apetrei, Del Valle, & Rodríguez-M endez, 2014;Cet o et al, 2012;Gay et al, 2010;Gil-S anchez et al, 2011;Guti errez, Moreno-Bar on, Pividori, Alegret, & Del Valle, 2010;Parra, Hernando, Rodríguez-M endez, & De Saja, 2004;Rodríguez-M endez et al, 2014;Zeravik, Hlavacek, Lacina, & Skl adal, 2009) or grapes of different qualities (Guti errez et al, 2011;Moreno i Codinachs et al, 2008). It has also been established that arrays combining sensors and biosensors can be advantageous, as they bring together both the benefits of classical arrays of electrochemical sensors (which provide global information about the sample) with the specificity of the enzymeesubstrate reaction typical of biosensors Moreno i Codinachs et al, 2008).…”

Section: Introductionmentioning

confidence: 99%

The advantages of disposable screen-printed biosensors in a bioelectronic tongue for the analysis of grapes

Medina-Plaza

García-Hernández

Saja

et al. 2015

LWT - Food Science and Technology

View full text Add to dashboard Cite

a b s t r a c tDisposable screen-printed sensors have been modified with enzymes and used to form a bioelectronic tongue dedicated to the discrimination between different grape varieties. The multisensory system combined serigraphied electrodes modified with carbon, platinum, gold, graphene, Prussian blue and nickel oxide nanoparticles (M-SPE) covered with glucose oxidase (M-GOX-SPE) or tyrosinase (M-Tyr-SPE).The M-GOX-SPE and M-Tyr-SPE sensors produced a variety of responses due to the different behavior of the electron mediators of the six screen-printed materials used for the electro-catalysis of the glucose and phenols by means of glucose oxidase and tyrosinase.This variety of responses, together with the capability of the sensors to detect glucose or phenols, allowed the bioelectronic tongue developed here to discriminate between the juices obtained from different varieties of grape.Partial least-squares (PLS-1) multivariate calibration of electrochemical data has been successfully applied to the simultaneous determination of glucose and polyphenols in musts.The discrimination capability shown by this array of cheap and single-use sensors was similar to that found in other complex bioelectronic tongues. The lower price, ease of use and portability of the modified screen-printed electrode system makes the bioelectronic tongue developed here an alternative tool that can be used in situ in the vineyard block.

show abstract

“…For two DWT-based feature extraction methods, we chose Daubechies 1 (Harr) wavelet as the wavelet basis due to its simplicity and wide application in DWT analysis. Considering high dimensionalities of raw responses and extracted features, we implement PCA transformation for the results of feature extraction methods mentioned above to visualize their distributions [31,32]. We used red markers to denote the beverages belonging to each liquor type: beer (block), spirit (asterisk), and red wine (pentagram), while the sample distributions of black tea, maofeng tea, pu'er tea, and oolong tea are shown in black color by a triangle, asterisk, block, and circle, respectively.…”

Section: Electronic Tongue Settingsmentioning

confidence: 99%

An Active Feature Selection Strategy for DWT in Artificial Taste

Liu

Chen

et al. 2018

Journal of Sensors

View full text Add to dashboard Cite

A discrete wavelet transform (DWT) extracts meaningful information in a time-frequency domain and is a favorable feature extraction approach from pulse-like responses in large pulse voltammetry (LAPV) electronic tongues (e-tongue). A regular DWT generates lots of coefficients to describe signal details and approximations at different scales. Thus, coefficient selection is necessary to reduce the feature size. However, the common DWT-based feature selection follows a passive mode: manipulation through human experience or exhaustive trials. It is subjective, time consuming, and barely works in nonlaboratory conditions. In this paper, we present an active feature selection strategy consisting of a dispersion ratio computation and optimal searching search. To evaluate the performance of the proposed method, we prepared several beverage samples and performed experiments with a LAPV e-tongue. Meanwhile, the features of raw response, peak-inflection point, referenced DWT method, and our proposed method were presented to indicate the effects of the refined features of the proposed method. Furthermore, we utilized several classifiers such as the k-nearest neighbor (k-NN), support vector machine (SVM), and random forest (RF) to evaluate the improvement of recognition by the refined features. Compared with other regular feature extraction methods, the proposed method can automatically explore high-quality features with an acceptable feature size. Moreover, the highest average accuracy was achieved by the proposed method for each classifier. It is an alternative feature extraction approach for a LAPV e-tongue without any manipulation in real applications.

show abstract

A voltammetric electronic tongue made of modified epoxy-graphite electrodes for the qualitative analysis of wine

Cited by 56 publications

References 36 publications

Voltammetric Electronic Tongue in the Analysis of Cava Wines

Voltammetric Electronic Tongue in the Analysis of Cava Wines

The advantages of disposable screen-printed biosensors in a bioelectronic tongue for the analysis of grapes

An Active Feature Selection Strategy for DWT in Artificial Taste

Contact Info

Product

Resources

About