Innovative Materials and Processes for Removal of Biopersistent Pollutants

Edited by
October 2023
204 pages
  • ISBN978-3-0365-8945-9 (Hardback)
  • ISBN978-3-0365-8944-2 (PDF)

This book is a reprint of the Special Issue Innovative Materials and Processes for Removal of Biopersistent Pollutants that was published in

Biology & Life Sciences
Chemistry & Materials Science
Computer Science & Mathematics
Environmental & Earth Sciences

Hazardous artificial contaminants are molecules of inorganic and organic nature (pharmaceuticals, food sources, heavy metals, dyes, personal care products, detergents, flame retardants, cosmetics, and pesticides) with potential toxicological effects on human health and the environment (air, water, and soil) due to their ubiquity at trace levels. These products could be bio-persistent during conventional treatment processes; accordingly, the adoption of proper and innovative technologies is necessary for the removal of these hazardous, persistent chemicals before their release into the environment. The aim of this reprint, entitled “Innovative Materials and Processes for the Removal of Biopersistent Pollutants”, was to collect studies devoted to the recent progress and new perspectives in the treatment and removal of hazardous artificial contaminants in the air, soil, and water supply.

  • Hardback
License and Copyright
© 2022 by the authors; CC BY-NC-ND license
photo-catalysis; TiO2; azo dye; kinetic study; hydraulic and hydrodynamic parameters; water caltrop husk; CO2 activation; mesoporous activated carbon; methylene blue; adsorptive removal; kinetic modeling; internal microelectrolysis; Fe-Cu material; phenol; wastewater treatment; coking wastewater; TiO2 nanoparticles; photocatalysis; landfill leachate; aged waste reactors; environmental regulation; governance synergy; industrial green technology progress; mediating effect; digestate; endocrine-disrupting chemical; metribuzin; boscalid; bisphenol A; octylphenol; xenoestrogen; sorption kinetics; sorption isotherm; desorption; silane coupling agents; biochar; hydrophobic modification; landfill cover; ANOVA; heavy metals; second-degree function; soybean biomass; waste; Artificial Neural Networks; biosorption; Differential Evolution; heavy metals; optimization; soybean waste; sudden water pollution events; digital emergency plan; emergency response; emergency plan management; knowledge visualization; decision support system; n/a