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Critical review on development of methylene blue degradation by wet catalytic methods

  • Minyi Liu , Xintong You , Ying Li and Yi Yang ORCID logo EMAIL logo
Published/Copyright: January 29, 2025
Become an author with De Gruyter Brill

Abstract

The development of textile, agriculture, and other related industries has increased the risk of excessive methylene blue (MB) emissions, making efficient treatment of MB an urgent issue in terms of the economy and environment. The most commonly used chemical treatment methods were wet catalytic methods, including catalytic wet air oxidation (CWAO), catalytic wet peroxide oxidation (CWPO), and photocatalysis. CWAO and CWPO both show fast reaction rates and are environmentally friendly. CWAO uses air as an oxidant at a relatively low cost and can effectively solve the leaching problem of the catalyst. CWPO employs inorganic peroxides like hydrogen peroxide (H2O2) as oxidants to form radicals, showing high efficiency. Photocatalytic degradation utilizes light energy to transform pollutants into harmless molecules with fast kinetic. The selection and application of different methods are analyzed basing on the balance among cost, scale, and efficiency. Finally, the perspective of the effective removal of MB is summarized, containing multiple method combinations, catalyst synthesis optimization, and practical application with less side reaction and instrument loss. More promising technology should be considered in the future for better degradation of MB in the industrial field.


Corresponding author: Yi Yang, Faculty of Arts and Sciences, Beijing Normal University, Zhuhai 519087, P.R. China; and Guangdong Provincial Key Laboratory of Wastewater Information Analysis and Early Warning, Beijing Normal University, Zhuhai, 519087, P.R. China, E-mail:
Minyi Liu, Xintong You, Ying Li contributed equally to this work.

Funding source: Special Project on Key Areas of Universities in Guangdong Province

Award Identifier / Grant number: 2023ZDZX4073, 2024ZDZX4153

Funding source: Young Innovative Talents Project of Colleges and Universities in Guangdong Province (Natural Science)

Award Identifier / Grant number: 2022KQNCX156

Funding source: Special Fund for Science and Technology Innovation Strategy of Guangdong Province

Award Identifier / Grant number: pdjh2023b0583, pdjh2024b420

Acknowledgments

The authors would like to thank Jiawei Jiang from Shiyanjia Lab (www.shiyanjia.com) for the help in the work.

  1. Research ethics: Not applicable.

  2. Informed consent: Not applicable.

  3. Author contributions: Minyi Liu: writing, literature reviewing; Xintong You: writing, literature reviewing; Ying Li: writing, literature reviewing; Yi Yang: writing, literature reviewing. 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: The authors appreciate the financial support from Young Innovative Talents Project of Colleges and Universities in Guangdong Province (Natural Science) (Grant no. 2022KQNCX156), Special Project on Key Areas of Universities in Guangdong Province (Science and Technology Services for Rural Revitalization) (Grant No. 2023ZDZX4073), and Special Fund for Science and Technology Innovation Strategy of Guangdong Province (Grant no. pdjh2023b0583, pdjh2024b420).

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

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Received: 2024-07-26
Accepted: 2024-12-17
Published Online: 2025-01-29
Published in Print: 2025-02-25

© 2024 Walter de Gruyter GmbH, Berlin/Boston

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