4.7 Article

Ultrasonic-assisted synthesis of superabsorbent hydrogels based on sodium lignosulfonate and their adsorption properties for Ni2+

Journal

ULTRASONICS SONOCHEMISTRY
Volume 40, Issue -, Pages 221-229

Publisher

ELSEVIER
DOI: 10.1016/j.ultsonch.2017.07.011

Keywords

Adsorption; Hydrogels; Sodium lignosulphonate; Swelling behavior; Ultrasound energy

Funding

  1. Program of Department of Education of Jiangsu Province [12KJD610003]
  2. Natural Science Foundation of Jiangsu Province, China [BK20131249]
  3. Senior Personnel Scientific Research Foundation of Jiangsu University [15JDG084]
  4. Natural Science Fund Project of Colleges in Jiangsu Province [16KJB430008]
  5. College Students' Innovative Practice Fund of Jiangsu University [JSMCDC201661]

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Nowadays, the attention of both academic and industrial research is paid to the novel materials based on renewable organic resources. Sodium lignosulphonate (SLS) is selected in this study to synthesize novel super absorbent hydrogels by ultrasonic polymerization. The structure, morphology and stability of SLS-based hydrogel were confirmed by Fourier transform infrared spectroscopy (FTIR), scanning electron microscopy (SEM) and thermogravimetric analysis (TGA). Under the optimal condition, SLS-based hydrogel possesses the water absorbency of 1328 g.g(-1) in distilled water and 110 g.g(-1) in 0.9 wt% NaCl solution. In addition, the prepared SLS-hydrogel as an adsorbent was applied to remove Ni2+ from an aqueous solution in virtue of its low cost and favorable adsorption capacity. The various experimental conditions that influence the adsorption capacity were investigated such as temperature (20-60 degrees C), pH (2.0-7.0), contact time (0-360 min) and initial concentration of the Ni2+ solution (100-600 mgL(-1)). Then the adsorption capability could reach 293 mg.g(-1) under optimal conditions. The results revealed that the adsorption behavior is spontaneous and endothermic. Furthermore, it was observed that the adsorption mechanism and adsorption equilibrium data obeyed pseudo-second-order kinetic and Freundlich models.

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