Carlos Pérez Bergmann is a full Professor at Federal University of Rio Grande do Sul, Brazil. He has experience in Material and Metallurgical Engineering, acting on the following subjects: nanostructured materials, surface engineering, materials characterization, and recycling of materials.Fernando Machado Machado is an associate professor at the Federal University of Pelotas, Brazil. He has experience in Material and Metallurgical Engineering, acting on the following subjects: synthesis, characterization and application of nanomaterials, carbon-based nanomaterials, nanoadsorbents, activated carbon, adsorption, and effluent treatment.

• 1.Carbon-based Nanomaterials: Advanced Materials for Water Treatment and Environmental Monitoring.- 2. Carbon Quantum Dots: Advanced Sensors and Adsorbents for the Removal of Toxic Chemicals.- 3.Exploring Carbon Nanotubes for Removing Organic and Inorganic Pollutants from Wastewater.- 4.Graphene-based Adsorbents for Effective Removal of Organic Pollutants.- 5.3D Graphene-Based Adsorbents: Synthesis, Characterization, and Applications in Water Treatment.- 6.Theoretical Fundamentals for the Batch Contact Adsorption Method.- 7.Experimental Approaches to Adsorption Processes.- 8. Molecules With Biological Interest Adsorbed on Graphene and Derivatives.- 9.Utilizing Artificial Intelligence Models to Optimize Adsorptive Processes.

Carlos Pérez Bergmann is a full Professor at Federal University of Rio Grande do Sul, Brazil. He has experience in Material and Metallurgical Engineering, acting on the following subjects: nanostructured materials, surface engineering, materials characterization, and recycling of materials.Fernando Machado Machado is an associate professor at the Federal University of Pelotas, Brazil. He has experience in Material and Metallurgical Engineering, acting on the following subjects: synthesis, characterization and application of nanomaterials, carbon-based nanomaterials, nanoadsorbents, activated carbon, adsorption, and effluent treatment.

• 1.Carbon-based Nanomaterials: Advanced Materials for Water Treatment and Environmental Monitoring.- 2. Carbon Quantum Dots: Advanced Sensors and Adsorbents for the Removal of Toxic Chemicals.- 3.Exploring Carbon Nanotubes for Removing Organic and Inorganic Pollutants from Wastewater.- 4.Graphene-based Adsorbents for Effective Removal of Organic Pollutants.- 5.3D Graphene-Based Adsorbents: Synthesis, Characterization, and Applications in Water Treatment.- 6.Theoretical Fundamentals for the Batch Contact Adsorption Method.- 7.Experimental Approaches to Adsorption Processes.- 8. Molecules With Biological Interest Adsorbed on Graphene and Derivatives.- 9.Utilizing Artificial Intelligence Models to Optimize Adsorptive Processes.

Carlos Pérez Bergmann is a full Professor at Federal University of Rio Grande do Sul, Brazil. He has experience in Material and Metallurgical Engineering, acting on the following subjects: nanostructured materials, surface engineering, materials characterization, and recycling of materials.Fernando Machado Machado is an associate professor at the Federal University of Pelotas, Brazil. He has experience in Material and Metallurgical Engineering, acting on the following subjects: synthesis, characterization and application of nanomaterials, carbon-based nanomaterials, nanoadsorbents, activated carbon, adsorption, and effluent treatment.

• 1.Carbon-based Nanomaterials: Advanced Materials for Water Treatment and Environmental Monitoring.- 2. Carbon Quantum Dots: Advanced Sensors and Adsorbents for the Removal of Toxic Chemicals.- 3.Exploring Carbon Nanotubes for Removing Organic and Inorganic Pollutants from Wastewater.- 4.Graphene-based Adsorbents for Effective Removal of Organic Pollutants.- 5.3D Graphene-Based Adsorbents: Synthesis, Characterization, and Applications in Water Treatment.- 6.Theoretical Fundamentals for the Batch Contact Adsorption Method.- 7.Experimental Approaches to Adsorption Processes.- 8. Molecules With Biological Interest Adsorbed on Graphene and Derivatives.- 9.Utilizing Artificial Intelligence Models to Optimize Adsorptive Processes.