The DOI matches its Crossref record; 129 of the 129 references it cites were found in a registry or an index.
Application of Iron Magnetic Nanoparticles in Protein Immobilization
Open accessAbstract
Due to their properties such as superparamagnetism, high surface area, large surface-to-volume ratio, easy separation under external magnetic fields, iron magnetic nanoparticles have attracted much attention in the past few decades. Various modification methods have been developed to produce biocompatible magnetic nanoparticles for protein immobilization. This review provides an updated and integrated focus on the fabrication and characterization of suitable magnetic iron nanoparticle-based nano-active materials for protein immobilization.
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Improvement of enzyme activity, stability and selectivity via immobilization techniques
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Cited by
Synthesis, characterization, applications, and challenges of iron oxide nanoparticles
Ali, A., Zafar, H., Zia, M., ul Haq, I., Phull, A. R., Ali, J. S., & Hussain, A. (2016) · Nanotechnology, Science and Applications · doi:10.2147/nsa.s99986 · Cited by 1,591
Bakar, B., Birhanlı, E., Ulu, A., Boran, F., Yeşilada, Ö., & Ateş, B. (2024) · Biocatalysis and Biotransformation · doi:10.1080/10242422.2023.2173006 · Cited by 24
Iron oxide-silica nanocomposites yielded by chemical route and sol–gel method
Puscasu, E., Sacarescu, L., Lupu, N., Grigoras, M., Oanca, G., Balasoiu, M., & Creanga, D. (2016) · Journal of Sol-Gel Science and Technology · doi:10.1007/s10971-016-3996-1 · Cited by 18
Metadata
- Authors
- Xu, J., Sun, J., Wang, Y., Sheng, J., Wang, F., & Sun, M.
- Venue
- Molecules
- Publisher
- MDPI AG
- Published
- 2014-08-04
- Volume
- 19
- Issue
- 8
- Pages
- 11465-11486
- ISSN
- 1420-3049 (ISSN-L)
- OpenAlex
- W1982853929
- Cited by
- 290
- References
- 129
- FWCI
- 6.81
- Type
- journal article
- Language
- en
- Open access
- gold
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- Xu, J., Sun, J., Wang, Y., Sheng, J., Wang, F., & Sun, M. (2014). Application of Iron Magnetic Nanoparticles in Protein Immobilization. Molecules. https://doi.org/10.3390/molecules190811465
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
