Protocol for mechanochemistry-guided assembly strategy for enzyme encapsulation using covalent organic frameworks
Enzyme immobilization into porous frameworks is an emerging strategy for enhancing the stability of dynamic conformation and prolonging the lifespan of enzymes. Here, we present a protocol for a de novo mechanochemistry-guided assembly strategy for enzyme encapsulation using covalent organic framewo...
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Veröffentlicht in: | STAR protocols 2023-09, Vol.4 (3), p.102421-102421, Article 102421 |
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Sprache: | eng |
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Zusammenfassung: | Enzyme immobilization into porous frameworks is an emerging strategy for enhancing the stability of dynamic conformation and prolonging the lifespan of enzymes. Here, we present a protocol for a de novo mechanochemistry-guided assembly strategy for enzyme encapsulation using covalent organic frameworks. We describe steps for mechanochemical synthesis, enzyme loading measurements, and material characterizations. We then detail evaluations of biocatalytic activity and recyclability.
For complete details on the use and execution of this protocol, please refer to Gao et al. (2022).1
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•Detailed procedures of a mechanochemical COF strategy for enzyme encapsulation•Applicable for encapsulating multiple enzymes into COFs•Detailed steps for characterization of enzyme@COFs•Evaluation of the biocatalytic activity and recyclability of the biocomposites
Publisher’s note: Undertaking any experimental protocol requires adherence to local institutional guidelines for laboratory safety and ethics.
Enzyme immobilization into porous frameworks is an emerging strategy for enhancing the stability of dynamic conformation and prolonging the lifespan of enzymes. Here, we present a protocol for a de novo mechanochemistry-guided assembly strategy for enzyme encapsulation using covalent organic frameworks. We describe steps for mechanochemical synthesis, enzyme loading measurements, and material characterizations. We then detail evaluations of biocatalytic activity and recyclability. |
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ISSN: | 2666-1667 2666-1667 |
DOI: | 10.1016/j.xpro.2023.102421 |