4.7 Article

Radix Astragali residue-derived porous amino-laced double-network hydrogel for efficient Pb(II) removal: Performance and modeling

Journal

JOURNAL OF HAZARDOUS MATERIALS
Volume 438, Issue -, Pages -

Publisher

ELSEVIER
DOI: 10.1016/j.jhazmat.2022.129418

Keywords

Radix Astragali residue; Hydrogel; Pb(II) removal; Fixed-bed test; Full-scale prediction

Funding

  1. National Natural Science Foundation of China [22176124]
  2. Shanghai Jiao Tong University [WH220416002]
  3. Brook Byers Institute for Sustainable Systems , High- tower Chair
  4. Georgia Research Alliance at the Georgia Institute of Technology

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In this study, a new protocol was developed to transform Chinese medicine residues into a high-performance adsorbent for heavy metal removal. The adsorbent demonstrated excellent adsorption capacity, fast kinetics, wide pH range, and good regeneration capability.
Valorizing solid waste for heavy metal adsorption is highly desirable to avoid global natural resources depletion. In this study, we developed a new protocol to valorize Radix Astragali residue (one of the Chinese medicine residues) into a low-cost, chemically robust, and highly permeable (ca. 90%) amino-laced porous double-network hydrogel (NH2-CNIFs/PAA) for efficient Pb(II) adsorption. The NH2-CNIFs/PAA showed (i) excellent Pb(II) adsorption capacity (i.e., 994.5 mg g(-1), similar to 4.8 mmol g(-1)), (ii) fast adsorption kinetics (k(f) = 2.01 x10(-5) m s(-1)), (iii) broad working pH range (2.0-6.0), and (iv) excellent regeneration capability (similar to 15 cycles). (v) excellent performance in various real water matrices on Pb(II) removal. Moreover, its high selectivity (distribution coefficient K-d similar to 2.4 x10(6) mL g(-1)) toward Pb(II) was owing to the present of abundant amino groups (-NH2). Furthermore, the fix-bed column test indicated the NH2-CNIFs/PAA can effectively remove 114.6 bed volumes (influent concentration similar to 5000 mu g L-1) with an enrichment factor 10.9. The full-scale system modeling (i.e., pore surface diffusion model (PSDM)) has been applied to predict the NH2-CNFs/PAA performance on Pb(II) removal. Overall, we have provided an alternative win-win scenario that can resolve the Chinese medicine residues disposal issue by valorizing it into high performance gel-based adsorbents for efficient heavy metal removal.

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