ArticleBioprocess and biosystems engineering2021
Facile synthesis of catalase@ZIF-8 composite by biomimetic mineralization for efficient biocatalysis.
Article in Bioprocess and biosystems engineering, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
5 citing papers in PubMed, 24 citations in OpenAlex.
- Protein and peptide confinement within metal-organic materials.Chemical communications (Cambridge, England) · 2025Review
- P53 Gene Therapy with ZIF-8 Metal-Organic Framework: A Platform in Cancer Gene Therapy.ACS omega · 2025Article
- Amino Functionality Enables Aqueous Synthesis of Carboxylic Acid-Based MOFs at Room Temperature by Biomimetic Crystallization.Inorganic chemistry · 2024Article
- Recent Progress and Prospect of Metal-Organic Framework-Based Nanozymes in Biomedical Application.Nanomaterials (Basel, Switzerland) · 2024Review
- Enzyme Immobilization on Metal Organic Frameworks: the Effect of Buffer on the Stability of the Support.Langmuir : the ACS journal of surfaces and colloids · 2022Article
Corrections and comments
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Authors and funding
7 authors at 1 institution in 1 country.
Funding
Abstract
Enzymes immobilized in metal-organic frameworks (MOFs) have attracted great attention as a promising hybrid material. In the study, a novel biomimetic mineralization encapsulation process for a highly stable and easily reusable catalase (CAT)@ZIF-8 composite has been designed. This immobilization process provides a high enzyme loading of 70 wt %. The CAT@ZIF-8 composites exhibited a much lower K
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.