Simultaneous Titration of Ternary Mixtures of Pb(II), Cd(II) and Cu(II) with Potentiometric Electronic Tongue Detection

Wilson, Deivy; Alegret, Salvador; Valle, Manel del

doi:10.1002/elan.201400480

Cited by 10 publications

(6 citation statements)

References 29 publications

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“…Still, concerning the presence of heavy metals in soils, an automatic titration method was proposed employing an e-tongue integrated to an automatic microburette, used as an endpoint detection method in titration to resolve ternary mixtures of Pb 2+ , Cd 2+ , and Cu 2+ ions at mmol L −1 level. An ANN model afforded a high accuracy in the determination of Pb 2+ , with a reproducibility of 3.0% for Pb 2+ , 4.1% for Cd 2+ , and 5.2% for Cu 2+ [61].…”

Section: Computational Analysis Assisting E-tongues In the Detection mentioning

confidence: 99%

Heavy Metal/Toxins Detection Using Electronic Tongues

2019

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The growing concern for sustainability and environmental preservation has increased the demand for reliable, fast response, and low-cost devices to monitor the existence of heavy metals and toxins in water resources. An electronic tongue (e-tongue) is a multisensory array mostly based on electroanalytical methods and multivariate statistical techniques to facilitate information visualization in a qualitative and/or quantitative way. E-tongues are promising analytical devices having simple operation, fast response, low cost, easy integration with other systems (microfluidic, optical, etc) to enable miniaturization and provide a high sensitivity for measurements in complex liquid media, providing an interesting alternative to address many of the existing environmental monitoring challenges, specifically relevant emerging pollutants such as heavy metals and toxins.

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Section: Computational Analysis Assisting E-tongues In the Detection mentioning

confidence: 99%

Heavy Metal/Toxins Detection Using Electronic Tongues

2019

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“…Environmental monitoring is greatly hampered by the difficulty of heavy metal biosensing. The classification of soil, pollutant infiltration properties, organic content and macronutrient measurements, and soil contamination prediction have all been studied using ANNs (El Tabach et al, 2007;Wilson et al, 2015;Emamgholizadeh et al, 2017;De Souza et al, 2020;Teniou et al, 2021). Anagu et al, 2009 developed a sorption model for estimating heavy metal sorption from fundamental soil properties and assessing the dangers associated with their appearance.…”

Section: Environmental Monitoring Based On Artificial Neural Network ...mentioning

confidence: 99%

Detection and removal of emerging contaminants from water bodies: A statistical approach

2023

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The integration of mathematical modelling in different scientific domains has increased dramatically in recent years. In general, modelling involves using programming languages, manipulating matrices, designing algorithms, and tracking functions and data to gain new insights and more quantitative and qualitative information about systems. These strategies have motivated researchers to investigate numerous approaches to accurately solve a variety of problems. In this direction, modelling and simulation have been used to create sensitive and focused detection methods for a variety of applications, including environmental control. New pollutants, including pesticides, heavy metals, and medications, are endangering wildlife by poisoning water supplies. As a result, numerous biosensors that use modelling for effective environmental monitoring have been documented in the literature. The most current model-inspired biosensors used for environmental monitoring will be discussed in this review study. Additionally, each analytical biosensor’s capabilities and degree of success will be discussed. Finally, present difficulties in this area will be highlighted.

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“…Three measurements per sensing unit were performed, with two independent replicates per sensor. Capacitance values were extracted from impedance data, and the whole spectra were statistically interpreted using Principal Components Analysis (PCA) [39].…”

Section: Detection Experimentsmentioning

confidence: 99%

Tuning the Electrical Properties of Electrospun Nanofibers with Hybrid Nanomaterials for Detecting Isoborneol in Water Using an Electronic Tongue

et al. 2019

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The presence of contaminants in water is a subject of paramount importance nowadays, which can make water improper to human consumption even when these contaminants are present at very low concentrations, causing health issues and economic losses. In this work, we evaluated the performance of nanocomposites based on nylon 6,6/chitosan electrospun nanofibers modified by cellulose nanowhiskers combined with functional materials like silver nanoparticles, gold nanoparticles, and reduced graphene oxide to be used as sensing layers of an electronic tongue (e-tongue) to detect Isoborneol. This compound, found in some plants and essential oils, is used as a natural repellent and also to produce many other chemicals. Additionally, its chemical structure is related to that of 2-methylisoborneol, a critical pollutant in aqueous media. The synergism between the nanomaterials combined with electrospun nanofibers could be verified by the enhancement of the charge transference ability. Additionally, electrical capacitance data measured with the impedimetric e-tongue were treated by Principal Component Analysis (PCA), and revealed the sensing system was able to discriminate samples contaminated with Isoborneol at nanomolar concentrations. Moreover, the electronic tongue system could detect Isoborneol in real water samples under different concentrations.

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Simultaneous Titration of Ternary Mixtures of Pb(II), Cd(II) and Cu(II) with Potentiometric Electronic Tongue Detection

Cited by 10 publications

References 29 publications

Heavy Metal/Toxins Detection Using Electronic Tongues

Heavy Metal/Toxins Detection Using Electronic Tongues

Detection and removal of emerging contaminants from water bodies: A statistical approach

Tuning the Electrical Properties of Electrospun Nanofibers with Hybrid Nanomaterials for Detecting Isoborneol in Water Using an Electronic Tongue

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