Removal of Mo(VI), Pb(II), and Cu(II) from wastewater using electrospun cellulose acetate/chitosan biopolymer fibers

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Título: Removal of Mo(VI), Pb(II), and Cu(II) from wastewater using electrospun cellulose acetate/chitosan biopolymer fibers
Autor/es: Lopez, Esmeralda | Gómez, Mauricio | Becar, Ian | Zapata, Paula | Pizarro, Jaime | Navlani-García, Miriam | Cazorla-Amorós, Diego | Presser, Volker | Gómez, Tatiana | Cárdenas, Carlos
Grupo/s de investigación o GITE: Materiales Carbonosos y Medio Ambiente
Centro, Departamento o Servicio: Universidad de Alicante. Departamento de Química Inorgánica | Universidad de Alicante. Instituto Universitario de Materiales
Palabras clave: Electrospun fibers | Biopolymers | Wastewater treatment | Adsorption metal ions
Fecha de publicación: 7-may-2024
Editor: Elsevier
Cita bibliográfica: International Journal of Biological Macromolecules. 2024, 269(Part 2): 132160. https://doi.org/10.1016/j.ijbiomac.2024.132160
Resumen: Environmentally friendly polymers such as cellulose acetate (CA) and chitosan (CS) were used to obtain electrospun fibers for Cu2+, Pb2+, and Mo6+ capture. The solvents dichloromethane (DCM) and dimethylformamide (DMF) allowed the development of a surface area of 148 m2 g−1 for CA fibers and 113 m2 g−1 for cellulose acetate/chitosan (CA/CS) fibers. The fibers were characterized by IR-DRIFT, SEM, TEM, CO2 sorption isotherms at 273 K, Hg porosimetry, TGA, stress-strain tests, and XPS. The CA/CS fibers had a higher adsorption capacity than CA fibers without affecting their physicochemical properties. The capture capacity reached 102 mg g−1 for Cu2+, 49.3 mg g−1 for Pb2+, and 13.1 mg g−1 for Mo6+. Furthermore, optimal pH, adsorption times qt, and C0 were studied for the evaluation of kinetic models and adsorption isotherms. Finally, a proposal for adsorbate-adsorbent interactions is presented as a possible capture mechanism where, in the case of Mo6+, a computational study is presented. The results demonstrate the potential to evaluate the fibers in tailings wastewater from copper mining.
Patrocinador/es: E. Lopez acknowledges the financial support of this project by ANID-Subdirección de Capital Humano, Doctorado Nacional 2020 Grant No. 21210508 and Vicerrectoría de Postgrado - Universidad de Santiago de Chile. M. Gómez acknowledges ANID-Fondecyt Postdoctoral Grant No. 3210179. C. Cárdenas acknowledges additional support through ANID-Fondecyt Grant No. 1220366 and support by Center for the Development of Nanosciences and Nanotechnology, CEDENNA AFB 220001. Powered@NLHPC: This research was partially supported by the supercomputing infrastructure of the NLHPC (ECM-02). P. Zapata acknowledges the financial support through ANID-Fondecyt Regular Grant No. 1220093. The authors would like to thank the Generalitat Valenciana (PROMETEO Project CIPROM/2021/70) for the financial support. M. Navlani-García would like to thank the grant RYC2021-034199-I funded by MCIN/AEI/10.13039/501100011033 and by “ESF Investing in your future”.
URI: http://hdl.handle.net/10045/142759
ISSN: 0141-8130 (Print) | 1879-0003 (Online)
DOI: 10.1016/j.ijbiomac.2024.132160
Idioma: eng
Tipo: info:eu-repo/semantics/article
Derechos: © 2024 Elsevier B.V.
Revisión científica: si
Versión del editor: https://doi.org/10.1016/j.ijbiomac.2024.132160
Aparece en las colecciones:INV - MCMA - Artículos de Revistas

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