Document Type
Article
Publication Date
10-7-2025
Publication Source
ACS Applied Engineering Materials
Abstract
The World Health Organization estimates that approximately 1.9 million deaths occur annually due to the consumption of contaminated drinking water, underscoring the urgent need for sustainable, biobased materials for water purification. This study reports the synthesis and characterization of magnetically responsive, alginate-based hydrogels designed for pollutant adsorption and magnetic recovery. Magnetic cellulose nanocrystals (mCNC) were produced by coprecipitating Fe3O4 nanoparticles onto cellulose nanocrystals (CNCs) and subsequently embedded into an alginate hydrogel matrix at two loading concentrations (0.1 and 1% w/v). The resulting mCNC–alginate hydrogels, along with CNC–alginate and pure alginate hydrogels as controls, were fabricated in both thin film and bead forms. A comprehensive characterization was performed to evaluate the structural, magnetic, and mechanical properties. Scanning electron microscopy (SEM) revealed changes in surface morphology and pore structure, while Fourier transform infrared spectroscopy (FT-IR) confirmed chemical compatibility. Vibrating sample magnetometry (VSM) demonstrated superparamagnetic behavior of mCNC-loaded hydrogels, with a saturation magnetization of 9.85 emu/g for the 1% mCNC sample. Rheological characterization showed that CNC and mCNC incorporation significantly enhanced hydrogel rigidity and storage modulus, although no significant magnetorheological response was observed. Adsorption performance was evaluated using methylene blue (MB) as a model pollutant, given its relevance to the removal of persistent contaminants, such as per- and polyfluoroalkyl substances (PFAS). While pure alginate beads achieved the highest maximum adsorption capacity (1357 mg/g), CNC- and mCNC-loaded hydrogels demonstrated improved percent removal at intermediate concentrations. Kinetic modeling indicated that adsorption followed both the pseudo-first-order (PFO) and fractal-like pseudo-first-order (FL-PFO) models, consistent with a physisorption process influenced by diffusion limitations. These results highlight the potential of mCNC–alginate hydrogels as scalable, magnetically retrievable, and environmentally benign materials for advanced water purification. Their enhanced mechanical stability, tunable magnetic properties, and biobased composition make them promising candidates for sustainable water treatment technologies.
ISBN/ISSN
2771-9545
Document Version
Postprint
Publisher
American Chemical Society
Keywords
cellulose nanocrystals, CNC, magnetic cellulose nanocrystals, sodium alginate beads, methylene blue adsorption, adsorption, water remediation, magnetic nanoparticles
Sponsoring Agency
This work was primarily funded by the Hanley Sustainability Institute (HSI) at the University of Dayton. The National Science Foundation also provided support through the acquisition of an MCR702 eSpace rheometer (NSF MRI Award #2216191). Additionally, this work was partially supported by NIFA Grant number 2023-67017-40045 from the U.S. Department of Agriculture’s National Institute of Food and Agriculture.
eCommons Citation
Moss, Corbon M.; Hasan, Mohammad Jahid; Deb, Monishita; Watzmann, Sarah; Ureña-Benavides, Esteban; and Vasquez-Guardado, Erick S., "Magnetically Recoverable and Adsorptive Alginate Hydrogel Composite Beads Reinforced with Cellulose Nanocrystals" (2025). Chemical and Materials Engineering Faculty Publications. 252.
https://ecommons.udayton.edu/cme_fac_pub/252
COinS

Comments
The document available for download is the authors' accepted manuscript, provided in compliance with the publisher's policy on self-archiving. Permission documentation is on file. To view the version of record, use the DOI: https://doi.org/10.1021/acsaenm.5c00699
This work was primarily funded by the Hanley Sustainability Institute (HSI) at the University of Dayton. The National Science Foundation also provided support through the acquisition of an MCR702 eSpace rheometer (NSF MRI Award #2216191). Additionally, this work was partially supported by NIFA Grant number 2023-67017-40045 from the U.S. Department of Agriculture’s National Institute of Food and Agriculture.