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Acryloyl starch/carboxymethyl cellulose grafting copolymerization composite hydrogel for efficient adsorption of methylene blue

  • Xue-Li Liu ORCID logo EMAIL logo , Ya-Li Sun , Zhong-Zhu Hu and Chun-Feng Zhu EMAIL logo
Published/Copyright: November 27, 2024
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Abstract

An efficient composite adsorbent was prepared based on acryloyl starch/carboxymethyl cellulose grafting copolymerization for the adsorptive removal of methylene blue. The developed composite hydrogels were characterized by means of FTIR, SEM (EDS-SEM), and XRD. Various parameters affecting the removal of methylene blue such as the type of adsorbents, pHs, the amount of adsorbents dosage, initial methylene blue concentration, and contact time were optimized using a series of batch adsorption experiments. The experimental data of the adsorption process were more fitted to Langmuir isotherm (R 2 = 0.9898) with a maximum adsorption capacity of 483.5 mg/g and batch kinetic experiments revealed that the adsorption process followed quasi-second-order kinetic model. The adsorption process was rapid and equilibrium was reached within 30 min. When the adsorption dosage is 0.2 g L−1, the adsorption yield for 100 mg L−1 methylene blue solution can reach 96.7 %. Therefore, acryloyl starch/carboxymethyl cellulose grafting copolymerization composite hydrogel present excellent adsorption efficiency, shows the potential application in future treatment of dyes wastewater.


Corresponding authors: Xue-Li Liu, College of Material and Chemical Engineering, Chuzhou University, Anhui 239012, China, E-mail: ; and Chun-Feng Zhu, Department of Pharmacy, Lu’an Hospital of Traditional Chinese Medicine, 237000, Lu’an, China, E-mail:

Funding source: Post-doctoral Program of Anhui Province

Award Identifier / Grant number: 2020B406

Funding source: Innovaton and Entrepreneurship Training Program for College Students of Chuzhou University

Award Identifier / Grant number: 2023CXXL103

Award Identifier / Grant number: 2024CXXL20501

Funding source: Industry-University-Research Projects

Award Identifier / Grant number: HX2020188

Funding source: University Natural Science Research Key Project of Anhui Province

Award Identifier / Grant number: 2023AH051619

  1. Research ethics: Not applicable.

  2. Informed consent: Not applicable.

  3. Author contributions: The authors have accepted responsibility for the entire content of this manuscript and approved its submission.

  4. Use of Large Language Models, AI and Machine Learning Tools: None declared.

  5. Conflict of interest: The authors state no conflict of interest.

  6. Research funding: We wish to acknowledge the financial support from the University Natural Science Research Key Project of Anhui Province (2023AH051619), Post-doctoral Program of Anhui Province (2020B406), and Industry-University-Research Projects (HX2020188), Innovaton and Entrepreneurship Training Program for College Students of Chuzhou University (2023CXXL103) and (2024CXXL20501).

  7. Data availability: Not applicable.

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Supplementary Material

This article contains supplementary material (https://doi.org/10.1515/polyeng-2024-0120).


Received: 2024-06-06
Accepted: 2024-09-26
Published Online: 2024-11-27
Published in Print: 2025-01-29

© 2024 Walter de Gruyter GmbH, Berlin/Boston

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