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Synthesis and defoaming properties of two sulfonate surfactants from trisiloxane

  • Zeng Yu

    Zeng Yu, a postgraduate student in College of Chemical Engineering, Nanjing Tech University (China). His graduation dissertation is focused on the the preparation and performance of trisiloxane-based anionic surfactants.

    , Yizheng Tao

    Yizheng Tao a postgraduate student in College of Chemical Engineering, Nanjing Tech University (China). His graduation dissertation is focused on the the preparation and performance of trisiloxane-based viscosity reducer.

    , Zhongfei Gu

    Zhongfei Gu, a postgraduate student in College of Chemical Engineering, Nanjing Tech University (China). His graduation dissertation is focused on the the preparation and performance of dendritic surfactants.

    and Hongling Chen

    Dr. Hongling Chen (Ph. D), a professor of the College of Chemical Engineering in Nanjing Tech University of China, obtained his bachelor and master degrees in East China University of Science and Technology and completed his Ph. D studies in Nanjing Tech University. Currently, he is mainly engaged in the research in the fields of surfactants.

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Published/Copyright: April 3, 2025
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Abstract

The problem of excessive foam in industrial production and everyday chemical processes causes significant problems, including compromised product quality, equipment damage and waste of water resources. Undoubtedly, the use of low-foaming surfactants represents a highly effective method to control foam formation. In this work, we have developed two novel silicone-based surfactant molecules by combining hydrosilylation reactions with metathesis reactions. These molecules use allyl diglycol carbonate, trisiloxane, sodium bisulfite and calcium chloride as primary reactants. Sodium trisiloxane sulfonate (TSS) was synthesized by hydrosilylation and sulfonation reactions, followed by a metathesis reaction with calcium chloride to form calcium trisiloxane sulfonate (TCS). The structures of the target products were characterized by FTIR and 1H NMR. Analysis of interfacial properties showed that both surfactants have excellent surface activity, with a minimum surface tension of 22 mN m−1 for TSS. Foam performance tests showed that these two surfactants have good foam disrupting and suppressing properties in three foam systems: anionic SDBD, cationic CTAB and non-ionic AEO-9. Therefore, these two structures have the potential to be developed into defoamers to meet complex industrial challenges.


Corresponding author: Hongling Chen, College of Chemical Engineering, Nanjing Tech University, Nanjing 211816, P.R. China, E-mail:
Zeng Yu and Yizheng Tao contributed equally to this work.

About the authors

Zeng Yu

Zeng Yu, a postgraduate student in College of Chemical Engineering, Nanjing Tech University (China). His graduation dissertation is focused on the the preparation and performance of trisiloxane-based anionic surfactants.

Yizheng Tao

Yizheng Tao a postgraduate student in College of Chemical Engineering, Nanjing Tech University (China). His graduation dissertation is focused on the the preparation and performance of trisiloxane-based viscosity reducer.

Zhongfei Gu

Zhongfei Gu, a postgraduate student in College of Chemical Engineering, Nanjing Tech University (China). His graduation dissertation is focused on the the preparation and performance of dendritic surfactants.

Hongling Chen

Dr. Hongling Chen (Ph. D), a professor of the College of Chemical Engineering in Nanjing Tech University of China, obtained his bachelor and master degrees in East China University of Science and Technology and completed his Ph. D studies in Nanjing Tech University. Currently, he is mainly engaged in the research in the fields of surfactants.

Acknowledgments

This work is financially supported by Nanjing Surtech Advanced Materials Co., Ltd.

  1. Research ethics: Not applicable.

  2. Informed consent: Not applicable.

  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 is financially supported by Nanjing Surtech Advanced Materials Co., Ltd.

  7. Data availability: All data generated or analyzed during this study are included in this published article.

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Received: 2024-10-22
Accepted: 2025-03-04
Published Online: 2025-04-03
Published in Print: 2025-05-26

© 2025 Walter de Gruyter GmbH, Berlin/Boston

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