Artificial Neural Networks for the Resolution of Dopamine and Serotonin Complex Mixtures Using a Graphene‐Modified Carbon Electrode

Bonet-San-Emeterio, Marta; González‐Calabuig, Andreu; Valle, Manel del

doi:10.1002/elan.201800525

Cited by 16 publications

(11 citation statements)

References 44 publications

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“…The graphite epoxy composite (GEC) electrode, used as base transducer, had an average geometric area of 28 mm 2 (Ø = 6 mm), as it is specified in the reference bibliography [ 39 , 40 , 43 ]; the composite conductive paste was added in an assembly formed by an electrical connector and a PVC tube. Afterwards, the conductive material was hardened in an oven at 40 °C.…”

Section: Methodsmentioning

confidence: 99%

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Graphene for the Building of Electroanalytical Enzyme-Based Biosensors. Application to the Inhibitory Detection of Emerging Pollutants

2021

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Graphene and its derivates offer a wide range of possibilities in the electroanalysis field, mainly owing to their biocompatibility, low-cost, and easy tuning. This work reports the development of an enzymatic biosensor using reduced graphene oxide (RGO) as a key nanomaterial for the detection of contaminants of emerging concern (CECs). RGO was obtained from the electrochemical reduction of graphene oxide (GO), an intermediate previously synthesized in the laboratory by a wet chemistry top-down approach. The extensive characterization of this material was carried out to evaluate its proper inclusion in the biosensor arrangement. The results demonstrated the presence of GO or RGO and their correct integration on the sensor surface. The detection of CECs was carried out by modifying the graphene platform with a laccase enzyme, turning the sensor into a more selective and sensitive device. Laccase was linked covalently to RGO using the remaining carboxylic groups of the reduction step and the carbodiimide reaction. After the calibration and characterization of the biosensor versus catechol, a standard laccase substrate, EDTA and benzoic acid were detected satisfactorily as inhibiting agents of the enzyme catalysis obtaining inhibition constants for EDTA and benzoic acid of 25 and 17 mmol·L−1, respectively, and a maximum inhibition percentage of the 25% for the EDTA and 60% for the benzoic acid.

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Section: Methodsmentioning

confidence: 99%

“…The RGO was obtained by the electrochemical reduction of the previous electrode. As it was first optimized [ 43 ], the reduction was carried out via CV; in particular, 10 cycles were applied in a potential range going from +1.90 V to −2.30 V at 0.1 V·s −1 .…”

Section: Methodsmentioning

confidence: 99%

Graphene for the Building of Electroanalytical Enzyme-Based Biosensors. Application to the Inhibitory Detection of Emerging Pollutants

2021

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“…In the case of tetrahydrocannabinol vapor sensing, the accuracies were 56–73% at low concentrations (<0.01 µg). [ 73 ] ML models have also been developed using graphene‐based sensors for organic compounds (dopamine, serotonin, ascorbic acid, uric acid, mesitylene, o‐xylene, p‐xylene, toluene, and formaldehyde), and ammonia gas [ 75,76,93 ] to predict their concentrations or discriminate analytes.…”

Section: Applications and Devicesmentioning

confidence: 99%

“…The transformed voltammograms were used as inputs for an ANN, and the model reached an R 2 of 0.97 for all analytes. [ 93 ]…”

Section: Applications and Devicesmentioning

confidence: 99%

Data Science Applied to Carbon Materials: Synthesis, Characterization, and Applications

Morelos-Gómez

Terrones

Endo

2021

Advcd Theory and Sims

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Data science has been rapidly developed and implemented in diverse scientific and technological fields over the past decade, to accelerate new knowledge generation and develop high‐impact applications. Recently, different data science tools and techniques have been widely used, such as optimizations, regressions, and classifications of data (tabular, spectral, or visual). In this review, data science tools and techniques are discussed for their adoption for the synthesis, characterization, and applications of carbon‐based materials. Materials synthesis in conjunction with data science has resulted in optimal growth conditions with desired properties and processing techniques. Regarding characterization, molecular structures can be reconstructed using microscopy images, and a particular property can be predicted based on the other properties of the desired carbon material. Moreover, for the applications of carbon materials, data science has enabled prediction of the water treatment efficiency, classification of electronic signals, prediction of the biological activity, and virus classification. It is clear that by combining data science and carbon‐related materials, it is now possible to accelerate theory‐experimental research in the quest for novel materials and their emerging applications.

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“…The electrodes were assembled using a PVC tube body. A small copper disk was welded at the electrical connector [9]. After the electrodes (EG) were assembled, a composite graphite-epoxy mixture was prepared by manually mixing the epoxy resin, the hardener, and the graphite powder.…”

Section: Preparation Of Graphite/epoxy Electrodesmentioning

confidence: 99%

Methanol, Ethanol, and Glycerol Oxidation by Graphite-Epoxy Composite Electrodes with Graphene-Anchored Nickel Oxyhydroxide Nanoparticles

Oliveira

Emeterio

Sá

et al. 2019

The 6th International Electronic Conference on Sensors and Applications

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In this work, a graphite-epoxy electrode with cyclic voltammetry electrodeposited reduced graphene oxide and nickel oxyhydroxide nanoparticles was prepared by decomposition in NaOH alkaline solution of cyclic voltammetry electrodeposited nickel hexacyanoferrate. FE-SEM studies were performed to confirm the NiOOH nanoparticle; the average size of the NiOOH nanoparticles was 61 ± 16 nm and EDX was applied to analyze chemical composition. To verify the performance of the prepared electrode, it was used in the electrooxidation of alcohols in alkaline medium by cyclic voltammetry. By performing different calibration experiments of methanol, ethanol, and glycerol, it was possible to extract some information about the electrode in the presence of alcohols. The LOD for methanol, ethanol, and glycerol were 2.16 mM, 2.73 mM and 0.09 mM, respectively, with sensitivity values of 1.32 µA mM −1 , 1.80 µA mM −1 and 24.60 µA mM −1 , respectively. Multivariate inspection of the data using Principal Component Analysis (performed with the ClustVis online tool) demonstrated the potential ability to discriminate between the different alcohols, whereas the explained variance with the first two components was as high as 89.7%.

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Artificial Neural Networks for the Resolution of Dopamine and Serotonin Complex Mixtures Using a Graphene‐Modified Carbon Electrode

Cited by 16 publications

References 44 publications

Graphene for the Building of Electroanalytical Enzyme-Based Biosensors. Application to the Inhibitory Detection of Emerging Pollutants

Graphene for the Building of Electroanalytical Enzyme-Based Biosensors. Application to the Inhibitory Detection of Emerging Pollutants

Data Science Applied to Carbon Materials: Synthesis, Characterization, and Applications

Methanol, Ethanol, and Glycerol Oxidation by Graphite-Epoxy Composite Electrodes with Graphene-Anchored Nickel Oxyhydroxide Nanoparticles

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