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Naji, M. |
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Motta, Antonella |
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Aletan, Dirar |
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Mohamed, Tarek |
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Ertürk, Emre |
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Taccardi, Nicola |
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Kononenko, Denys |
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Petrov, R. H. | Madrid |
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Alshaaer, Mazen | Brussels |
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Bih, L. |
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Casati, R. |
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Muller, Hermance |
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Kočí, Jan | Prague |
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Šuljagić, Marija |
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Kalteremidou, Kalliopi-Artemi | Brussels |
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Azam, Siraj |
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Ospanova, Alyiya |
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Blanpain, Bart |
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Ali, M. A. |
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Popa, V. |
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Rančić, M. |
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Ollier, Nadège |
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Azevedo, Nuno Monteiro |
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Landes, Michael |
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Rignanese, Gian-Marco |
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Kumar, Vinod
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (17/17 displayed)
- 2024Bioactivity and corrosion analysis of thermally sprayed hydroxyapatite based coatings
- 2024MIL-101(Cr)/Aminoclay Nanocomposites for Conversion of CO2 into Cyclic Carbonatescitations
- 2024Cellulose‐based smart materials: Novel synthesis techniques, properties, and applications in energy storage and conversion devicescitations
- 2024Corrosion inhibition analysis on cerium induced hydrophobic surface of Al-6061/SiC/Al<sub>2</sub>O<sub>3</sub> hybrid compositescitations
- 2023Analyzing the tribological and mechanical performance of Al-6061 with rare earth oxides: An experimental analysiscitations
- 2023Structural, morphological, optical and biomedical applications of Berberis aristata mediated ZnO and Ag-ZnO nanoparticlescitations
- 2023Organic sensing element approach in electrochemical sensor for automated and accurate pesticides detectioncitations
- 2023Sustainable utilization and valorization of potato waste: state of the art, challenges, and perspectivescitations
- 2022On-Sun Testing of a High-Temperature Solar Receiver’s Flux Distributioncitations
- 2022Effect of REOs on tribological behavior of aluminum hybrid composites using ANNcitations
- 2021A CNN With Deep Learning for Non-Equilibrium Characterization of Al-Sm Melt Infusion Into a B4C Packed Bed
- 2019Uncertainty Quantification of Molten Hafnium Infusion Into a B4C Packed-Bed
- 2019Microstructure and magnetic behavior of FeCoNi(Mn-Si)x (x = 0.5, 0.75, 1.0) high-entropy alloyscitations
- 2018Utilization of Machine Learning to Predict the Surface Tension of Metals and Alloys
- 2018Predicting the Depth of Penetration of Molten Metal Into a Pore Network Using TensorFlow
- 2015Optical and Structural Study of Polyaniline/Polystyrene Composite Filmscitations
- 2012Simulation of Cooling Rate of Gray Cast Iron Casting in a Sand Mold and its Experimental Validationcitations
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article
Organic sensing element approach in electrochemical sensor for automated and accurate pesticides detection
Abstract
<jats:p>The primary component for human health is food quality and its safety. The world has crossed 8 billion population highlighting major demand to fulfil high consumption food requirement. To overcome food security issue, inorganic farming trend is booming. In the process of boosting agriculture and allied products, unethical practices of using pesticides achieve heights. Protection of plants is necessary from weeds and pests. Thus, in order, to minimize the curb of unwanted growth of weeds and pest attack, pesticides act as an agent for protection and helping for immense production of crops. Therefore, swift and precise detection of harmful pesticides in agriculture products is required in urgent demand. In this review, the distinct organic material-based sensor such as colorimetric sensing, fluorescent sensors, gas chromatography-mass spectrometry, and liquid chromatography, with the organic compounds as sensing elements to monitor pesticides level in distinct samples due to their specificity, reusability, stability, high sensitivity, and selectivity. Apart from it, this study provides a comprehensive overview of the recent major advancement in organic sensing elements in electrochemical sensor pesticides detection based on molecularly imprinted, multimodal sensor polydopamine and conductive polymer at low-cost production.</jats:p>