Sfoglia Instituto Universitario de Investigación en Procesos Sostenibles (IPS) per Data di Pubblicazione "2024"

Items 1-8 di 8

A comprehensive evaluation of eco-productivity of the municipal solid waste service in Chile

Mocholí Arce, Manuel; Sala Garrido, Ramón; Molinos Senante, María ; Maziotis, Alexandros (2024)
Assessing the effect of Fe2O3 nanoparticle addition on microalgae wastewater treatment and biomass composition

Vargas Estrada, Laura Gabriela ; Okoye, Patrick Ugochukwu; Muñoz Torre, Raúl ; Novelo Maldonado, Eberto; González Sánchez, Armando; Sebastian, P. J. (2024)
Enhancing permeability: unraveling the potential of microporous organic polymers in mixed matrix membranes

Torres Arribas, Alba ; Soto Guzmán, Marvelia Cenit ; Carmona Del Rio, Francisco Javier ; Simorte, María Teresa; Sanz Mateos, María Inmaculada ; Muñoz Torre, Raúl ; Palacio Martínez, Laura ; Prádanos del Pico, Pedro Lourdes ; Hernández Giménez, Antonio ; Tena Matias, Alberto (2024)
Exploring new strategies for optimizing the production of poly(3-hydroxybutyrate-co-3-hydroxyvalerate) from methane and VFAs in synthetic cocultures and mixed methanotrophic consortia

Amabile, Claudia; Abate, Teresa; Marcos Naveira, José Enrique ; Chianese, Simeone; Musmarra, Dino; Muñoz Torre, Raúl (2024)
Indoor air VOCs biofiltration by bioactive coating packed bed bioreactors

González Martín, Javier ; Sendino Cantera, Sara; Muñoz Torre, Raúl ; Lebrero Fernández, Raquel (2024)
Influence of carbon-coated zero-valent iron-based nanoparticle concentration on continuous photosynthetic biogas upgrading

Hoyos Durán, Edwin Gilbert; Amo Duodu, Gloria; Gulsum Kiral, U.; Vargas Estrada, Laura Gabriela ; Lebrero Fernández, Raquel ; Muñoz Torre, Raúl (2024)
Mechanisms of copper and zinc bioremoval by microalgae and bacteria grown in nutrient rich wastewaters

Antolin Puebla, Beatriz ; Torres Arribas, Alba ; García Encina, Pedro Antonio ; Bolado Rodríguez, Silvia ; Vega Alegre, María del Sol (2024)
Wastewater-based epidemiology for COVID-19 using dynamic artificial neural networks

Zamarreño Cosme, Jesús María ; Torres Franco, Andrés Felipe ; Carita Gonçalves, José Manuel ; Muñoz Torre, Raúl ; Rodríguez Rodríguez, Elisa; Eiros Bouza, José María ; García Encina, Pedro Antonio (2024)

Sfoglia Instituto Universitario de Investigación en Procesos Sostenibles (IPS) per Data di Pubblicazione "2024"

A comprehensive evaluation of eco-productivity of the municipal solid waste service in Chile ﻿

Assessing the effect of Fe2O3 nanoparticle addition on microalgae wastewater treatment and biomass composition ﻿

Enhancing permeability: unraveling the potential of microporous organic polymers in mixed matrix membranes ﻿

Exploring new strategies for optimizing the production of poly(3-hydroxybutyrate-co-3-hydroxyvalerate) from methane and VFAs in synthetic cocultures and mixed methanotrophic consortia ﻿

Indoor air VOCs biofiltration by bioactive coating packed bed bioreactors ﻿

Influence of carbon-coated zero-valent iron-based nanoparticle concentration on continuous photosynthetic biogas upgrading ﻿

Mechanisms of copper and zinc bioremoval by microalgae and bacteria grown in nutrient rich wastewaters ﻿

Wastewater-based epidemiology for COVID-19 using dynamic artificial neural networks ﻿

A comprehensive evaluation of eco-productivity of the municipal solid waste service in Chile

Assessing the effect of Fe2O3 nanoparticle addition on microalgae wastewater treatment and biomass composition

Enhancing permeability: unraveling the potential of microporous organic polymers in mixed matrix membranes

Exploring new strategies for optimizing the production of poly(3-hydroxybutyrate-co-3-hydroxyvalerate) from methane and VFAs in synthetic cocultures and mixed methanotrophic consortia

Indoor air VOCs biofiltration by bioactive coating packed bed bioreactors

Influence of carbon-coated zero-valent iron-based nanoparticle concentration on continuous photosynthetic biogas upgrading

Mechanisms of copper and zinc bioremoval by microalgae and bacteria grown in nutrient rich wastewaters

Wastewater-based epidemiology for COVID-19 using dynamic artificial neural networks