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

Medina-Plaza, Cristina; García-Hernández, Celia; Saja, J.A. de; Fernández-Escudero, J.A.; Barajas, Enrique; Medrano, G.; Garcı́a, C.; Martín-Pedrosa, Fernando; Rodrı́guez-Méndez, M.L.

doi:10.1016/j.lwt.2015.02.027

Cited by 41 publications

(27 citation statements)

References 35 publications

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“…In the case of voltammetric electronic tongues, one solution is to use a feature extraction using the wavelet transformation [36], genetic algorithms [37] or using “kernels” [26,38]. In this paper, the Kernel method was used with the aim to obtain 10 variables from each voltammogram.…”

Section: Resultsmentioning

confidence: 99%

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Discrimination of Apple Liqueurs (Nalewka) Using a Voltammetric Electronic Tongue, UV-Vis and Raman Spectroscopy

Śliwińska

García-Hernández

Kościński

et al. 2016

Sensors

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The capability of a phthalocyanine-based voltammetric electronic tongue to analyze strong alcoholic beverages has been evaluated and compared with the performance of spectroscopic techniques coupled to chemometrics. Nalewka Polish liqueurs prepared from five apple varieties have been used as a model of strong liqueurs. Principal Component Analysis has demonstrated that the best discrimination between liqueurs prepared from different apple varieties is achieved using the e-tongue and UV-Vis spectroscopy. Raman spectra coupled to chemometrics have not been efficient in discriminating liqueurs. The calculated Euclidean distances and the k-Nearest Neighbors algorithm (kNN) confirmed these results. The main advantage of the e-tongue is that, using PLS-1, good correlations have been found simultaneously with the phenolic content measured by the Folin–Ciocalteu method (R2 of 0.97 in calibration and R2 of 0.93 in validation) and also with the density, a marker of the alcoholic content method (R2 of 0.93 in calibration and R2 of 0.88 in validation). UV-Vis coupled with chemometrics has shown good correlations only with the phenolic content (R2 of 0.99 in calibration and R2 of 0.99 in validation) but correlations with the alcoholic content were low. Raman coupled with chemometrics has shown good correlations only with density (R2 of 0.96 in calibration and R2 of 0.85 in validation). In summary, from the three holistic methods evaluated to analyze strong alcoholic liqueurs, the voltammetric electronic tongue using phthalocyanines as sensing elements is superior to Raman or UV-Vis techniques because it shows an excellent discrimination capability and remarkable correlations with both antioxidant capacity and alcoholic content—the most important parameters to be measured in this type of liqueurs.

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Section: Resultsmentioning

confidence: 99%

“…Voltammograms and Raman spectra were normalized and pre-processed by means of an adaptation of a data reduction technique based on ‘kernels’ using Matlab v2014b (The Mathworks Inc., Natick, MA, USA) [26]. Using this variable reduction method, 10 variables were obtained from each voltammogram or Raman spectrum.…”

Section: Methodsmentioning

confidence: 99%

Discrimination of Apple Liqueurs (Nalewka) Using a Voltammetric Electronic Tongue, UV-Vis and Raman Spectroscopy

Śliwińska

García-Hernández

Kościński

et al. 2016

Sensors

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show abstract

“…The multivariate data analysis was performed by using MATLAB R2014b (The Mathworks Inc., Natick, MA, USA). The Principal Component Analysis (PCA) was carried out using as input data source pre-processed voltammograms obtained by the adaptation of a data reduction technique based on predefined response "bell-shaped-windowing" curves called "kernels" [33,34]. Using this method, voltammograms were multiplied by 10 smooth, bell-shaped windowing functions defined as:…”

Section: Methodsmentioning

confidence: 99%

Multisensor System Based on Layer by Layer Films. Discrimination of Milks

Salvo-Comino¹,

García-Hernández²,

Garcı́a³

et al. 2018

Preprint

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Abstract:A nanostructured electrochemical bi-sensor system for analysis of milks has been developed using the Layer by Layer technique. The non-enzymatic sensor [CHI+IL/CuPc S ]2, is a layered material containing a negative film of the anionic sulfonated copper phthalocyanine (CuPc S ) acting as electrocatalytic material, and a cationic layer containing a mixture of an ionic liquid (IL) (1-butyl-3-methylimidazolium tetrafluoroborate) that enhances the conductivity and chitosan (CHI) that facilitates the enzyme immobilization. The biosensor ([CHI+IL/CuPc S ]2-GAO) results from the immobilization of galactose oxidase on the top of the LbL layers. FTIR, UV-vis and AFM have confirmed the proposed structure and cyclic voltammetry has demonstrated the amplification caused by the combination of materials in the film. Sensors have been combined to form an electronic tongue for milk analysis. Principal Component Analysis has revealed the ability of the sensor system to discriminate between milk samples with different lactose content. Using PLS-1 calibration models, correlations have been found between the voltammetric signals and chemical parameters measured by classical methods. PLS-1 models provide excellent correlations with lactose content. Additional information about other components such as fats, proteins and acidity can also be obtained. The method developed is simple and the short response time permits its use in assaying milk samples on-line.

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“…Also, Cipri and others () developed bioelectronic tongues coupled with chemometrics methods for the simultaneous determination of glucose, fructose, and sucrose in fruits. In addition, Medina‐Plaza and others () fabricated disposable bioelectronic tongues using screen‐printed enzymatic biosensors for the determination of glucose in grapes and further discrimination of different varieties combined with principal component analysis (PCA). However, in spite of these advances, more work is still needed to improve the limited repeatability and reduce the number of sensors despite obtaining enhanced electrochemical reactivity.…”

Section: Emerging Detection Techniques For Sugarsmentioning

confidence: 99%

Recent Developments in Methods and Techniques for Rapid Monitoring of Sugar Metabolism in Fruits

Sun

et al. 2016

Comp Rev Food Sci Food Safe

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The major sugars in fruits, including glucose, fructose, and sucrose, play a critical role in fruit quality control and maturity evaluation. Many novel methods and techniques such as enzymatic and nonenzymatic biosensors, nuclear magnetic resonance, and near-infrared spectroscopy have been developed to provide the rapid estimation of sugar inversion under different storage conditions. This review provides a description of recent advancements in these technologies for the determination of sugar contents in fruits. The prospects of emerging spectroscopic technologies such as Raman spectroscopy, hyperspectral imaging, and terahertz imaging, for assessing sugars in intact fruits are discussed. The challenges for further developments of these methods and technologies to meet the increasing demand for rapid and on-line quality control are also presented.

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

Cited by 41 publications

References 35 publications

Discrimination of Apple Liqueurs (Nalewka) Using a Voltammetric Electronic Tongue, UV-Vis and Raman Spectroscopy

Discrimination of Apple Liqueurs (Nalewka) Using a Voltammetric Electronic Tongue, UV-Vis and Raman Spectroscopy

Multisensor System Based on Layer by Layer Films. Discrimination of Milks

Recent Developments in Methods and Techniques for Rapid Monitoring of Sugar Metabolism in Fruits

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