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Bi2S3 loaded MXene Ti3C2T x nanosheet with an adsorption-photocatalytic synergistic removal for tetracycline

  • Huan Xi , Lu Wang and Haimeng Huang ORCID logo EMAIL logo
Published/Copyright: March 25, 2025

Abstract

Antibiotics in water body pose a threat to the ecosystem and human health, and the removal of antibiotics in water is imperative. Ti3C2T x has high specific surface area and structural stability, but suffers from low catalytic activity and insufficient utilization of active sites. In this paper, Ti3C2T x /Bi2S3 composites (named PTB and STB, respectively) were prepared by in situ synthesis and physical composite method. The introduction of Bi2S3 extends the light absorption of the composites to the visible region. Meanwhile, the electron migration resistance in PTB is smaller and the photoresponse current is larger. PTB exhibited better adsorption-photocatalytic performance than STB and pure Ti3C2T x , with a removal efficiency of 89 %. In addition, the study investigated the effects of water quality parameters and proposed a possible photocatalytic mechanism. Finally, the tetracycline adsorption and photocatalytic performance of PTB in real water samples showed good results, especially in lake water and tap water.


Corresponding author: Haimeng Huang, College of Materials Science and Engineering, Hohai University, Changzhou 213200, China, E-mail:

Funding source: The research project of Nanjing Vocational Institute of Transport Technology

Award Identifier / Grant number: JZ2308

Funding source: Basic Science (Natural Science) Research Project of Jiangsu institutions of higher education

Award Identifier / Grant number: 23KJB430023

Award Identifier / Grant number: 24KJB560013

  1. Research ethics: Not applicable.

  2. Informed consent: Not applicable.

  3. Author contributions: Huan Xi: Conceptualization, Methodology, Formal analysis, Data curation, Writing - Original Draft, Funding acquisition. Lu Wang: Formal analysis, Writing-Review & Editing, Validation, Funding acquisition. Haimeng Huang: Formal analysis, Writing-Review & Editing.

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

  5. Conflict of interest: The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

  6. Research funding: The authors would like to acknowledge the financial supports from the Basic Science (Natural Science) Research Project of Jiangsu institutions of higher education (23KJB430023 and 24KJB560013) and the research project of Nanjing Vocational Institute of Transport Technology (JZ2308).

  7. Data availability: Not applicable.

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Received: 2024-11-26
Accepted: 2025-02-28
Published Online: 2025-03-25

© 2025 Walter de Gruyter GmbH, Berlin/Boston

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