Publications by authors named "Pabel A Cervantes-Aviles"

Article Synopsis
  • Researchers created and characterized ZnO nanoparticles, which were then combined with a chemical compound (salen) to detect metal ions in water.
  • The ZnO-salen system was found to selectively identify aluminum ions, and the presence of potassium further increased its fluorescence signal.
  • This detection method was successfully applied in human glioblastoma U251 cells, demonstrating high cell viability even at higher concentrations of ZnO-salen.
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Article Synopsis
  • - The study focused on creating photocatalysts from steel waste by oxidizing them using various pH levels and temperatures, achieving high production efficiency and magnetic properties.
  • - The resulting materials, particularly (Co-Zn)FeO, exhibit a bandgap of 2.02 eV, allowing them to be activated by sunlight and showing uniform particle sizes.
  • - When applied to treat black liquors from cellulose extraction, the photocatalysts led to a 15% reduction in Chemical Oxygen Demand and improved biodegradability, demonstrating potential for large-scale environmental applications.
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Wastewater-based epidemiology offers a time- and cost-effective way to monitor SARS-CoV-2 spread in communities and therefore represents a complement to clinical testing. WBE applicability has been demonstrated in a number of cases over short-term periods as a method for tracking the prevalence of SARS-CoV-2 and an early-warning tool for predicting outbreaks in the population. This study reports SARS-CoV-2 viral loads from wastewater treatment plants (WWTPs) and hospitals over a 6-month period (June to December 2020).

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The identification of nitrate (NO) sources and biogeochemical transformations is critical for understanding the different nitrogen (N) pathways, and thus, for controlling diffuse pollution in groundwater affected by livestock and agricultural activities. This study combines chemical data, including environmental isotopes (δH, δO, δN and δO), with land use/land cover data and a Bayesian isotope mixing model, with the aim of reducing the uncertainty when estimating the contributions of different pollution sources. Sampling was taken from 53 groundwater sites in Comarca Lagunera, northern Mexico, during 2018.

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