scholarly journals Voltammetric Electronic Tongue for the Simultaneous Determination of Three Benzodiazepines

Sensors ◽  
2019 ◽  
Vol 19 (22) ◽  
pp. 5002 ◽  
Author(s):  
Anna Herrera-Chacón ◽  
Farzad Torabi ◽  
Farnoush Faridbod ◽  
Jahan B. Ghasemi ◽  
Andreu González-Calabuig ◽  
...  
Keyword(s):  
Metallic Nanoparticles ◽  
Simultaneous Detection ◽  
Electronic Tongue ◽  
Principal Component ◽  
Quantitative Model ◽  
Discrete Wavelet ◽  
Composite Electrodes ◽  
Voltammetric Sensors ◽  
Voltammetric Electronic Tongue

The presented manuscript reports the simultaneous detection of a ternary mixture of the benzodiazepines diazepam, lorazepam, and flunitrazepam using an array of voltammetric sensors and the electronic tongue principle. The electrodes used in the array were selected from a set of differently modified graphite epoxy composite electrodes; specifically, six electrodes were used incorporating metallic nanoparticles of Cu and Pt, oxide nanoparticles of CuO and WO3, plus pristine electrodes of epoxy-graphite and metallic Pt disk. Cyclic voltammetry was the technique used to obtain the voltammetric responses. Multivariate examination using Principal Component Analysis (PCA) justified the choice of sensors in order to get the proper discrimination of the benzodiazepines. Next, a quantitative model to predict the concentrations of mixtures of the three benzodiazepines was built employing the set of voltammograms, and was first processed with the Discrete Wavelet Transform, which fed an artificial neural network response model. The developed model successfully predicted the concentration of the three compounds with a normalized root mean square error (NRMSE) of 0.034 and 0.106 for the training and test subsets, respectively, and coefficient of correlation R ≥ 0.938 in the predicted vs. expected concentrations comparison graph.

scholarly journals Determination of Bitterness of Andrographis Herba Based on Electronic Tongue Technology and Discovery of the Key Compounds of Bitter Substances

Molecules ◽  
2018 ◽  
Vol 23 (12) ◽  
pp. 3362 ◽  
Author(s):  
Xiao Zhang ◽  
Hongwei Wu ◽  
Xiankuo Yu ◽  
Hanyan Luo ◽  
Yaqi Lu ◽  
...  
Keyword(s):  
Chinese Medicine ◽  
High Performance ◽  
Quality Evaluation ◽  
Herbal Remedy ◽  
Three Dimensional ◽  
Electronic Tongue ◽  
Principal Component ◽  
Chemical Compositions ◽  
Tcm Theory

Andrographis Herba (AH), the dry aerial segments of Andrographis paniculata (Burm.f.) Nees, is a common herbal remedy with bitter properties in traditional Chinese medicine (TCM) theory. Although bitterness is one of the features representing Chinese medicine, it has not been implemented as an index to assess the quality and efficacy of TCM because of peoples’ subjectivity to taste. In this study, 30 batches of AH with different commercial classifications (leaves, stems, or mixtures of both) were collected. Bitterness of AH was quantified by electronic tongue technology. Meanwhile, chemical compositions were characterized through establishing high-performance liquid chromatography fingerprints. The result indicated that the radar curves of the bitterness from different AH commercial classifications displayed different taste fingerprint information. Based on six taste factors, a Principal Component Analysis (PCA) score three-dimensional (3D) plot exhibited a clear grouping trend (R2X, 0.912; Q2, 0.763) among the three different commercial classifications. Six compounds (Peaks 2, 3, 4, 6, 7, 8) with positive correlation to bitterness were discovered by a Spearman correlation analysis. Peaks 2, 6, 7, 8 were identified as andrographolide, neoandrographolide, 14-deoxyandrographolide, and dehydroandrographolide, respectively. The electronic tongue can be used to distinguish AH samples with different commercial classifications and for quality evaluation.

scholarly journals Optimization of Sensors to be Used in a Voltammetric Electronic Tongue Based on Clustering Metrics

Sensors ◽  
2020 ◽  
Vol 20 (17) ◽  
pp. 4798
Author(s):  
Munmi Sarma ◽  
Noelia Romero ◽  
Xavier Cetó ◽  
Manel del Valle
Keyword(s):  
A Priori ◽  
Electronic Tongue ◽  
Principal Component ◽  
Canonical Variate ◽  
Ann Model ◽  
Inclusion Removal ◽  
Discrimination Ability ◽  
Improved Performance ◽  
Voltammetric Electronic Tongue ◽  
The Impact

Herein we investigate the usage of principal component analysis (PCA) and canonical variate analysis (CVA), in combination with the F factor clustering metric, for the a priori tailored selection of the optimal sensor array for a given electronic tongue (ET) application. The former allows us to visually compare the performance of the different sensors, while the latter allows us to numerically assess the impact that the inclusion/removal of the different sensors has on the discrimination ability of the ET. The proposed methodology is based on the measurement of a pure stock solution of each of the compounds under study, and the posterior analysis by PCA/CVA with stepwise iterative removal of the sensors that demote the clustering when retained as part of the array. To illustrate and assess the potential of such an approach, the quantification of paracetamol, ascorbic acid, and uric acid mixtures were chosen as the study case. Initially, an array of eight different electrodes was considered, from which an optimal array of four sensors was derived to build the quantitative ANN model. Finally, the performance of the optimized ET was benchmarked against the results previously reported for the analysis of the same mixtures, showing improved performance.

Simultaneous determination of phenolic compounds by means of an automated voltammetric “electronic tongue”

2005 ◽  
Vol 382 (2) ◽  
pp. 471-476 ◽  
Author(s):  
A. Gutés ◽  
A. B. Ibáñez ◽  
F. Céspedes ◽  
Salvador Alegret ◽  
M. del Valle
Keyword(s):  
Phenolic Compounds ◽  
Simultaneous Determination ◽  
Electronic Tongue ◽  
Voltammetric Electronic Tongue

Electronic tongue formed by sensors and biosensors containing phthalocyanines as electron mediators: Application to the analysis of red grapes

2014 ◽  
Vol 18 (01n02) ◽  
pp. 76-86 ◽  
Author(s):  
Cristina Medina-Plaza ◽  
Gema Revilla ◽  
Raquel Muñoz ◽  
José Antonio Fernández-Escudero ◽  
Enrique Barajas ◽  
...  
Keyword(s):  
Glucose Oxidase ◽  
Electronic Tongue ◽  
Principal Component ◽  
Carbon Paste ◽  
Electron Mediator ◽  
Enzyme Substrate ◽  
Voltammetric Sensors ◽  
The Individual ◽  
Electron Mediators

An electronic tongue formed by voltammetric sensors and biosensors containing phthalocyanines has been developed and used to analyze grapes of different varieties. The sensors are prepared using the carbon paste technique and have been chemically modified with different metallophthalocyanines. In turn, biosensors consist of carbon paste electrodes modified with phthalocyanines combined with tyrosinase or glucose oxidase. The response of the individual sensors towards model solutions of glucose and catechol have demonstrated that the voltammetric responses depend on the nature of the phthalocyanine, evidencing the important role of the electron mediator in the performance of the sensors. The capability of the system to discriminate grapes according to their sugar and their polyphenolic content has been evidenced using Principal Component Analysis. It has been demonstrated that the proposed array of sensors combines the advantages of classical phthalocyanine based sensors — that provide global information about the sample —, with the specificity of the enzyme substrate reaction typical of biosensors. For this reason, the selectivity of the multisensor system and its capability of discrimination is clearly improved when biosensors containing glucose oxidase or tyrosinase are included in the array.

Quality Detection of Soybean Oil with Voltammetric Electronic Tongue

2013 ◽  
Vol 680 ◽  
pp. 333-338
Author(s):  
Hong Men ◽  
Cai Wa Zhang ◽  
Yan Ping Zhang ◽  
Hong Hui Gao
Keyword(s):  
Soybean Oil ◽  
Prediction Models ◽  
Electronic Tongue ◽  
Principal Component ◽  
Sample Pretreatment ◽  
Electrode System ◽  
Partial Least Square ◽  
Least Square ◽  
Kernel Principal Component Analysis ◽  
Voltammetric Electronic Tongue

This paper proposes a reasonable methodology applied in classification and quantification techniques based on the voltammetric electronic tongue. We designed voltammetric electronic tongue oil sample pretreatment system with petroleum ether organic solvent. Through three-electrode system and cyclic voltammetry method processing blending soybean oil sample to get waveform output. Extracting crest methods as its feature extraction Pattern recognition use kernel principal component analysis and factor analysis blending on a different level of soybean oil, Partial Least Square (PLS) techniques was applied for data management and prediction models building, the prediction models are the blending ratio, the results show that voltammetric electron tongue can distinguish the quality of soybean oil.

Voltammetric Sensors Based on Various Nanomaterials for the Determination of Sulfonamides

2019 ◽  
Vol 15 (2) ◽  
pp. 124-130
Author(s):  
Hana Beigizadeh ◽  
Mohammad Reza Ganjali ◽  
Parviz Norouzi
Keyword(s):  
Human Health ◽  
Metallic Nanoparticles ◽  
Antimicrobial Agents ◽  
Modified Electrodes ◽  
The Body ◽  
The Poor ◽  
Voltammetric Sensors ◽  
Sensitivity And Selectivity ◽  
History Of

Background: The widespread applications of sulphonamides, as antibacterial or antimicrobial agents, and their mechanism of actions in the body, have changed their determination to an important issue in the area of human health. Objective: Here, history of developing voltammetric sensors based on nanomaterials for the detection of sulfonamides including sulfadiazine, sulfamethoxazole, sulfacetamide, sulfadimethoxine, sulfathiazole, sulfamethiazole and sulfamerazine is reviewed. Modified electrodes based on various nanomaterials (carbonaceous nanomaterials, Metallic Nanoparticles (MNPs), conducting nanopolymers) have been reported, and studies showed that nanomaterials have been mostly used to overcome problems like the poor sensitivity and selectivity of bare electrodes. The study covers the properties of each sensor in detail, and reports and compares the linear ranges, Limits of Detection (LODs), reproducibility, and reusability of the electrodes reported so far.

scholarly journals Detection of Biogenic Amines in Canned Tuna Using a Voltammetric Electronic Tongue

2021 ◽  
Vol 6 (1) ◽  
pp. 41
Author(s):  
Marta Bonet-San-Emeterio ◽  
Maria Bruguera-Jané ◽  
Xavier Cetó ◽  
Manel del Valle
Keyword(s):  
Biogenic Amines ◽  
Electronic Tongue ◽  
Composite Electrodes ◽  
Zno Nps ◽  
Promising Alternative ◽  
Cuo Nps ◽  
High Concentrations ◽  
Artificial Neural Network Ann ◽  
Voltammetric Electronic Tongue ◽  
Chemometric Tools

Biogenic amines (BAs), which are produced naturally due to the decomposition of amino acids, are crucial for the food industry because its formation is directly related to improper storage and the presence of bacteria. High concentrations of BAs can be easily related with the quality and spoilage of the products of this sector. The necessity to quickly and efficiently quantify these targets makes mandatory the use of alternatives to conventional analytical methods used up to now. For example, the combination of sensors with chemometric tools (known as electronic tongue) are a promising alternative for quick and informative analysis in the food sector. Chemometric tools allow us to develop models for the quantification of specific compounds in a complex matrix, making it a feasible tool for the development of more user-friendly methods than the traditional ones. In this context, the work presents an electronic tongue created for the detection of histamine, cadaverine and tyramine using a set of five modified GEC (graphite epoxy composite) electrodes: ZnO NPs, CuO NPs, SnO2 NPs, Bi2O3 NPs, and polypyrrole, as the voltammetric multisensor array. The chemometric model was obtained with an Artificial Neural Network (ANN) with 51 input neurons, five neurons in the hidden layer and three neurons in the output layer. The functions used for the hidden and output layers were tansig and purelin, respectively. The results show slopes near to 1 and intercepts close to 0, indicating the feasibility of the model.

scholarly journals Determination of total polyphenol index in wines employing a voltammetric electronic tongue

2012 ◽  
Vol 732 ◽  
pp. 172-179 ◽  
Author(s):  
Xavier Cetó ◽  
Juan Manuel Gutiérrez ◽  
Manuel Gutiérrez ◽  
Francisco Céspedes ◽  
Josefina Capdevila ◽  
...  
Keyword(s):  
Electronic Tongue ◽  
Total Polyphenol ◽  
Voltammetric Electronic Tongue

scholarly journals Determination of Chemical Oxygen Demand (COD) Using Nanoparticle-Modified Voltammetric Sensors and Electronic Tongue Principles

Chemosensors ◽  
2021 ◽  
Vol 9 (3) ◽  
pp. 46
Author(s):  
Qing Wang ◽  
Manel del Valle
Keyword(s):  
Chemical Oxygen Demand ◽  
Agricultural Waste ◽  
Electronic Tongue ◽  
Oxygen Demand ◽  
Modified Electrodes ◽  
Alkaline Media ◽  
Organic Load ◽  
Intelligent Sensor ◽  
Voltammetric Sensors

This manuscript reports the use of nanoparticle-modified voltammetric sensors for the rapid and green determination of chemical oxygen demand in river waters and waters from agricultural waste. Four different variants of modified electrodes have been prepared: CuO nanoparticles electrogenerated over Cu and covered with Nafion film (CuO/Cu-Nf), and graphite–epoxy composites modified with Cu, CuO, and Cu–Ni alloy nanoparticles. The response features of these electrodes were assessed by calibrating them vs. glucose, glycine, ethyleneglycol, and hydrogenphtalate in alkaline media, as samples providing different difficulty in their (bio)degradation characteristics. The most sensitive electrode was demonstrated to be the (CuO/Cu-Nf) electrode, with an LOD of 12.3 mg O2·L−1. The joint information provided by the sensor array showed the ability of estimating both the organic load and the type of sample in terms of difficulty of degradation, in what can be named an intelligent sensor assembly.

Sign in / Sign up

Export Citation Format

Share Document