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Preparation of mesoporous lignin-based aerogels for organic dyes removal

  • Yingying Zhang , Xianke Hu , Jie Yang , Ying Kang EMAIL logo , Jie Wei and Dawei Fang EMAIL logo
Published/Copyright: March 13, 2025

Abstract

The efficient use of biomass and the treatment of dye-contaminated wastewater are urgent issues. In this study, a novel mesoporous lignin-based composite aerogel (SL/CMX/AM) is synthesized via a chemical cross-linking/freeze-drying method, and its structure was characterized by SEM, FI-TR, and BET. The results showed that the structure of aerogel was mesoporous with dimensions ranging from 10 to 50 nm. The mesoporous lignin-based composite aerogels were further applied for the adsorption of dyes. The results revealed that the optimal purifying conditions were as follows: the pH of MB solution was 11, the mass of the aerogel was 0.0100 g, the concentration was 200 mg g−1, the adsorption time was 720 min, and the adsorption temperature was 313.15 K, producing the highest adsorption capacity of 39.80 mg g−1. The adsorption mechanism was discussed. The adsorption process followed the pseudo-second-order model and was fitted to the Langmuir isotherm model. The thermodynamic parameters indicated that the adsorption of dyes onto the investigated material was an endothermic and spontaneous reaction at 293.15–313.15 K. Overall, this work guides the preparation of mesoporous lignin-based composite aerogels and their potential application in addressing dye-contaminated wastewater problems.


Corresponding authors: Ying Kang and Dawei Fang, Institute of Rare and Scattered Elements, College of Chemistry, Liaoning University, Shenyang, 110036, P.R. China, E-mail: (Y. Kang), (D. Fang)

Funding source: Key Technologies R & D Program of Liaoning Provincial Department of Education

Award Identifier / Grant number: LJKZZ20220018

Funding source: Project of the Education Department of Liaoning Province

Award Identifier / Grant number: JYTMS20230771

Award Identifier / Grant number: XLYC2202040

Award Identifier / Grant number: 22403040, 22173039

  1. Research ethics: Not applicable.

  2. Informed consent: Informed consent was obtained from all individuals included in this study, or their legal guardians or wards.

  3. Author contributions: All 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: This work was supported by the Project of the Education Department of Liaoning Province (JYTMS20230771); National Natural Science Foundation of China (22403040,22173039); Liaoning Revitalization Talents Program (XLYC2202040); and Key Technologies R & D Program of Liaoning Provincial Department of Education (LJKZZ20220018).

  7. Data availability: The raw data can be obtained on request from the corresponding author.

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Supplementary Material

This article contains supplementary material (https://doi.org/10.1515/ijcre-2024-0150).


Received: 2024-07-24
Accepted: 2025-02-22
Published Online: 2025-03-13

© 2025 Walter de Gruyter GmbH, Berlin/Boston

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