Publications by authors named "D Del Corso"

Copper is efficient, has a high conductivity (5.8 × 10 S/m), and is cost-effective. The use of copper-based catalysts is promising for the electrocatalytic reduction of nitrates.

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The detection of in environmental samples, such as water, is crucial for public health monitoring and outbreak prevention. Although effective, traditional detection methods, including culture-based techniques and polymerase chain reaction, have limitations such as long processing times, trained operators, and the need for specialized laboratory equipment. Biosensing technologies offer a promising alternative due to their rapid, sensitive, cost-effectiveness, and on-site detection capabilities.

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Increasing tree diversity is considered a key management option to adapt forests to climate change. However, the effect of species diversity on a forest's ability to cope with extreme drought remains elusive. In this study, we assessed drought tolerance (xylem vulnerability to cavitation) and water stress (water potential), and combined them into a metric of drought-mortality risk (hydraulic safety margin) during extreme 2021 or 2022 summer droughts in five European tree diversity experiments encompassing different biomes.

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The progressive increase in nitrate's (NO) presence in surface and groundwater enhances environmental and human health risks. The aim of this work is the fabrication and characterization of sensitive, real-time, low-cost, and portable amperometric sensors for low NO concentration detection in water. Copper (Cu) micro-flowers were electrodeposited on top of carbon screen-printed electrodes (SPCEs) via cyclic voltammetry (with voltage ranging from -1.

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Article Synopsis
  • * Two sensor fabrication methods were compared: one involved electrodeposition of gold nanoparticles on polyaniline (Au/PANI/C), and the other used electropolymerized polyaniline on a carbon electrode (Au/PANIep/C), enhancing electrical conductivity for better performance.
  • * The Au/PANI/C sensor is effective for high NH concentrations but less so for low levels, while the Au/PANIep/C sensor excels at detecting low NH concentrations, both showing good reproducibility and reversibility in their electrochemical reactions.
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