Langmuir–Blodgett film and carbon paste electrodes based on phthalocyanines as sensing units for taste

Arrieta, Andrés Adolfo Amell; Rodrı́guez-Méndez, M.L.; Saja, J.A. de

doi:10.1016/s0925-4005(03)00438-6

Cited by 107 publications

(80 citation statements)

References 23 publications

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“…They have demonstrated to behave as excellent modifiers for the detection of a variety of analytes including polyphenolic compounds (Gay et al, 2012;Ceto et al, 2012a;Matemadombo et al, 2012). Nanostructured electrochemical sensors based on phthalocyanines can be prepared using the Langmuir-Blodgett (LB) technique (Arrieta et al, 2003;Volpati et al, 2008).…”

Section: Introductionmentioning

confidence: 99%

Bioelectronic tongue based on lipidic nanostructured layers containing phenol oxidases and lutetium bisphthalocyanine for the analysis of grapes

Medina-Plaza

Saja

Rodrı́guez-Méndez

2014

Biosensors and Bioelectronics

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a b s t r a c tIn this work, a multisensor system formed by nanostructured voltammetric biosensors based on phenol oxidases (tyrosinase and laccase) has been developed. The enzymes have been incorporated into a biomimetic environment provided by a Langmuir-Blodgett (LB) film of arachidic acid (AA). Lutetium bisphthalocyanine (LuPc 2 ) has also been introduced in the films to act as electron mediator. The incorporation of the enzymes to the floating layers to form Tyr/AA/LuPc 2 and Lac/AA/LuPc 2 films has been confirmed by the expansion in the surface pressure isotherms and by the AFM images. The voltammetric response towards six phenolic compounds demonstrates the enhanced performance of the biosensors that resulted from a preserved activity of the tyrosinase and laccase combined with the electron transfer activity of LuPc 2 . Biosensors show improved detection limits in the range of 10. An array formed by three sensors AA/LuPc 2 , Tyr/AA/LuPc 2 and Lac/AA/LuPc 2 has been employed to discriminate phenolic antioxidants of interest in the food industry. The Principal Component Analysis scores plot has demonstrated that the multisensor system is able to discriminate phenols according to the number of phenolic groups attached to the structure. The system has also been able to discriminate grapes of different varieties according to their phenolic content. This good performance is due to the combination of four factors: the high functionality of the enzyme obtained using a biomimetic immobilization, the signal enhancement caused by the LuPc 2 mediator, the improvement in the selectivity induced by the enzymes and the complementary activity of the enzymatic sensors demonstrated in the loading plots.

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Section: Introductionmentioning

confidence: 99%

Bioelectronic tongue based on lipidic nanostructured layers containing phenol oxidases and lutetium bisphthalocyanine for the analysis of grapes

Medina-Plaza

Saja

Rodrı́guez-Méndez

2014

Biosensors and Bioelectronics

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“…[9] [17] [18]. In order to evaluate the discrimination capability of the sensor array, the instrument was used with a series of five simple substances whose properties are related to coffee including the specificity of basic flavors.…”

Section: Resultsmentioning

confidence: 99%

Electronic Tongue and Neural Networks, Biologically Inspired Systems Applied to Classifying Coffee Samples

Almario¹,

Cáceres²

2014

AJAC

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In this paper, the possibility to use an electronic tongue based on a polypyrrole sensor array in classifying coffee samples has been studied. Each sensor shows a distinguished electrochemical response when exposed to the studied solutions, providing signals with a high degree of cross-selectivity. The sensor array electrochemical response is related to the interaction of the ionic and non-ionic solution compounds and to the surface of the sensors polymeric matrix. Furthermore, the electronic tongue was used to perform an analysis on coffee samples. In this case, each sensor showed a particular response to each coffee sample. Data obtained from the registered signals were used to perform a discrimination of the samples. The analysis with neural networks of the principal components (NNPC) done on the electronic tongue response to five types of commercial coffee, allows to achieve a clear differentiation of samples.

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“…The first voltammetric electronic tongues based on chemically modified electrodes dated from 2003-2004 and involved sensors prepared by means of simple methods such as the carbon paste technique (CPE) where phthalocyanines are mixed with carbon powder and a mineral oil (Nujol) [5,6]. Deposition by spin-coating, drop casting onto conductive surfaces (platinum, carbon, ITO) or chemical modification of screen printed electrodes (SPE) was also used [7].…”

Section: Electronic Tongue Based On Non-nanostructured Sensorsmentioning

confidence: 99%

Analysis of grapes and wines using a voltammetric bioelectronic tongue: Correlation with the phenolic and sugar content

Rodrı́guez-Méndez

Medina-Plaza

García-Hernández

et al. 2014

IEEE SENSORS 2014 Proceedings

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Langmuir–Blodgett film and carbon paste electrodes based on phthalocyanines as sensing units for taste

Cited by 107 publications

References 23 publications

Bioelectronic tongue based on lipidic nanostructured layers containing phenol oxidases and lutetium bisphthalocyanine for the analysis of grapes

Bioelectronic tongue based on lipidic nanostructured layers containing phenol oxidases and lutetium bisphthalocyanine for the analysis of grapes

Electronic Tongue and Neural Networks, Biologically Inspired Systems Applied to Classifying Coffee Samples

Analysis of grapes and wines using a voltammetric bioelectronic tongue: Correlation with the phenolic and sugar content

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