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Catalytic synthesis of DHHB over home-made catalysts and its kinetic calculations

  • Xin Hui-Fen , Feng Bai-Cheng , Wu Jin-Bo , Liu Ri-Hong , Qu Rong and Jin Yan ORCID logo EMAIL logo
Published/Copyright: February 18, 2025

Abstract

DHHB (n-hexyl 2-(4-N,N-diethylamino-2-hydroxybenzoyl) benzoate) is a recently developed UV absorber that demonstrates a high degree of safety, excellent efficiency, and favorable solubility properties. In this paper a catalyst was prepared to catalyze the esterification of DHHB with homemade sulfonic acid modified polystyrene microspheres coated with silica instead of conventional H2SO4. And the catalyst was characterized by scanning electron microscopy (SEM) and infrared spectroscopy (FT-IR). The effects of different conditions on the reaction rate and equilibrium conversion were also investigated using conventional H2SO4 as a benchmark. The results showed that the catalytic activity of the catalyst did not decrease significantly after 10 consecutive cycles, and the yield of DHHB could reach 90.21 % after 2 h of reaction at 150 °C. Meanwhile, The kinetic experimental data obtained were correlated using a proposed homogeneous phase model. The synthesis of DHHB is a heat-absorbing reaction with heat of reaction and activation energies of 4.6537 kJ/mol, 43.2157 kJ/mol and 37.5735 kJ/mol for the forward and reverse reactions, respectively. It was verified that the proposed homogeneous reaction kinetic model accurately described the kinetic processes of the DHHB esterification reaction.


Corresponding author: Jin Yan, College of Chemical Engineering, Qingdao University of Science and Technology, Qingdao 266042, Shandong, China, e-mail:

Acknowledgments

The authors are thankful to Shandong Province Science and Technology-based Small and Medium-sized Enterprises nnovation Capacity Enhancement Project (2022TSGC2595).

  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. Competing interests: The authors state no conflict of interest.

  6. Research funding: None declared.

  7. Data availability: Not applicable.

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Published Online: 2025-02-18
Published in Print: 2025-04-28

© 2025 IUPAC & De Gruyter

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