Fabrication of Thermo‐Responsive Polymer‐MOF@cellulase Composites with Improved Catalytic Performance for Hydrolysis of Cellulose.

  • Published In: Chemistry - An Asian Journal, 2025, v. 20, n. 1. P. 1 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Ali Tajwar, Muhammad; Liu, Yutong; Qi, Li 3 of 3

Abstract

Metal‐organic frameworks (MOFs) are considered as an ideal enzyme support because of their porous structural superiority. However, MOFs@enzyme composites have usually compromised their hydrolysis efficiency due to the narrow space inducing unfavourable enzyme conformations. Herein, a thermo‐responsive poly(N,N‐dimethylacrylamide) (PD) was fixed onto the surface of UiO‐66‐NH2 (UiO) through a post‐synthetic modification protocol. Using poly(2‐vinyl‐4,4 dimethylazlactone) (V) as a linker, PVD‐UiO@cellulase composites were fabricated after cellulase was immobilized onto the UiO surface through covalent bonding. The composites conferred favorable cellulase conformations, boosting hydrolysis efficiency and stability, which relied on the soft PVD shell and confinement effect yielded by the curled PVD chains at high temperatures. Compared with free cellulase, the proposed composites exhibited a 33.1‐fold enhancement of the Kcat values at 50 °C. The PVD‐UiO@cellulase composites were applied to the hydrolysis of cellulose in the stalks and leaves of Epipremnum aureum. The results highlight the potential of smart PVD‐UiO@cellulase composites in the hydrolysis of cellulose, affording a valuable platform for the preparation of unique MOFs@enzyme composites and their industrial applications. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:Chemistry - An Asian Journal. 2025/01, Vol. 20, Issue 1, p1
  • Document Type:Article
  • Subject Area:Chemistry
  • Publication Date:2025
  • ISSN:1861-4728
  • DOI:10.1002/asia.202400990
  • Accession Number:182048791
  • Copyright Statement:Copyright of Chemistry - An Asian Journal is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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