Sustainable water treatment solution: 3D printed and fully biobased water purification filters Natalia Fijol 1 , Aji P. Mathew 1,2 1 Division of Materials and Environmental Chemistry, Stockholm University, Sweden, 2 Wallenberg Wood Science Center, Sweden We present the processing and characterization of three-dimensional (3D) monolithic filters based on polylactic acid (PLA) and TEMPO oxidized cellulose nanofibers (TCNF) for potential metal ions separation from wastewater (1) . In attempt to increase the metal ions adsorption efficiency, the 3D-printed biobased filters were surface functionalized with green, bio-inspired metal organic framework (MOF) SU-10 (2) . The development of biocomposite was initiated by dispersion of TCNF in PLA through physical blending, followed by thermally induced phase separation (TIPS) pelletizing method (1,3) . The obtained composite pellets were further twin-screw extruded into 3D-printing filaments and processed into various geometries using Fused Deposition Modelling (FDM) technique. The printed biocomposite filters included cylindrical and hourglass shapes with diverse patterns of printing infill as well as varying pore structure including uniform and multiple level gradual pore structures. The pores and channel structure as well as the overall shape of the filters were designed in attempt to optimize the flux and maximize the adsorption-active time. The chemical composition, homogeneity of the nanofiller dispersion in the matrix, pore structure as well as the functional properties of the 3D-printed MOF- functionalized filters such as permeance, mechanical performance and metal ions adsorption capabilities were assessed. The study demonstrates novel preparation route for the hybrid MOF-cellulose nanocomposite filters and the use of the FDM technique to address water treatment challenges on an industrial scale. References 1. Natalia Fijol et al., Chemical Engineering Journal, 2023, 457, 141153 2. Erik Svensson Grape et al., Journal of the American Chemical Society, 2020, 142, 39 3. Natalia Fijol et al., RSC Advances, 2021, 11, 32408
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