Encontrados 14 documentos, a visualizar página 1 de 2

Sugar analysis by a multi-sensor system: applying to honey samples

One of the emerging approaches for analysis of liquid samples with complex matrices is the Electronic Tongue (ET) since it allows evaluating tastes by calibration, mimicking the human tongue. The ET records a pattern of signals that depends on the matrix solution composition, which information is extracted into qualitative and quantitative information by multivariate statistical methods. The chemical sensors us...

Evaluation of an electronic tongue for honey classification according to its po...

Electronic tongues (ET) have attracted great interest due to its potential to obtain global Information from complex samples that could hardly be obtained by traditional instrumental methods of analysis. These multi-sensor arrays provide a huge amount of sample information which, by applying chemometric methods, allows sample identification/ classification, taste evaluation as well as, multicomponent analysis. ...

Performance study of a potentiometric sensor array for lactic proteins analysis

Lactic proteins are complex biomolecules, possessing different molecular weights (from 19 kDa up to 66 kDa), which can be used as biomarkers for detecting food adulterations. This study reports for the first time the evaluation of two potentiometric sensor arrays, one electronic tongue (ET) using only cross-sensitivity chemical sensors and a hybrid-ET containing ionic-selective and cross-sensitivity chemical se...

A hybrid electronic tongue for direct classification of baby liquid foods with ...

A hybrid electronic tongue for direct classification of baby liquid foods with ...

People suffering from celiac disease are gluten intolerant and inadvertent ingestion of gluten proteins must be avoided. Several techniques have been proposed to detect/quantify gluten proteins in foodstuffs: immunochemical methods, mass tandem spectrometry and polymerase chain reaction as well as gluten sensors [1]. Recently, a potentiometric electronic tongue (ET) with lipo/polymeric membranes has been used t...

Application of an electronic tongue to detect gliadins in gluten-free foods

Celiac disease is an autoimmune-mediated disorder triggered in genetically susceptible individuals by the ingestion of some gluten proteins, namely gliadins. To prevent inadvertent gluten consumption, the Commission Regulation (EC) Nº41/2009 will implement labelling foods as “gluten-free” or “low-gluten content”[1]. The feasibility of an all-solid-state potentiometric electronic tongue to detect the contaminati...

Application of an electronic tongue to detect gliadins in gluten-free foods

Celiac disease is an autoimmune-mediated disorder triggered in genetically susceptible individuals by the ingestion of some gluten proteins, namely gliadins. To prevent inadvertent gluten consumption, the Commission Regulation (EC) N°41/2009 will implement labeling foods as ‘gluten-free” or “low-gluten content.

An electronic tongue for juice level evaluation in non-alcoholic beverages

An electronic tongue with 36 cross-sensibility polymeric membranes was built and used for semi-quantitative analysis of beverages. The objective was to differentiate 4 non-alcoholic beverage groups with different added fruit juice contents: higher than 30%, between 14%-30%, 5%-10% and 0.1%-2%. A set of 16 Portuguese beverages (4 for each group), purchased in commercial supermarkets, was analyzed and the respect...

An electronic tongue for juice level evaluation in non-alcoholic beverages

An electronic tongue with 36 cross-sensibility polymeric membranes was built and applied for qualitative beverage analysis. ; An electronic tongue with 36 cross-sensibility polymeric membranes was built and applied for qualitative beverage analysis. The objective was to distinguish non-a1coholic beverages with different leveis of added fruit juice. The different signal profiles recorded by the electronic tongu...

An electronic tongue for beer differentiation

In this work an electronic tongue, based on a potentiometric solid-state mufti-sensor array, with 36 polymeric membranes, was built for developing an analytical tool to apply in process monitoring and quality control. As a first approach, this tool was applied together with a supervised pattern recognition tool to semi-quantitatively differentiate beers with different alcoholic levels.