The DOI matches its Crossref record.
Monodisperse, Molecularly Imprinted Polymer Microspheres Prepared by Precipitation Polymerization for Affinity Separation Applications
Abstract
Theophilline-imprinted polymer microspheres were obtained in monodisperse form with diameters of about 5 μm (see picture) in a single synthetic step by precipitation polymerization. This robust material, which proved suitable for use in HPLC, can, in principle, also be applied in any application in which molecular recognition phenomena play a role.
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Citations
Cited by
Chen, L., Xu, S., & Li, J. (2011) · Chemical Society Reviews · doi:10.1039/c0cs00084a · Cited by 1,753
Alexander, C., Andersson, H. S., Andersson, L. I., Ansell, R. J., Kirsch, N., Nicholls, I. A., O'Mahony, J., & Whitcombe, M. J. (2006) · Journal of Molecular Recognition · doi:10.1002/jmr.760 · Cited by 1,248
Molecularly Imprinted Polymers: Antibody Mimics for Bioimaging and Therapy
Haupt, K., Medina Rangel, P. X., & Bui, B. T. S. (2020) · Chemical Reviews · doi:10.1021/acs.chemrev.0c00428 · Cited by 561
Li, G. L., Möhwald, H., & Shchukin, D. G. (2013) · Chemical Society Reviews · doi:10.1039/c3cs35517a · Cited by 314
Zhang, H. (2013) · European Polymer Journal · doi:10.1016/j.eurpolymj.2012.12.016 · Cited by 172
Metadata
- Authors
- Wang, J., Cormack, P. A. G., Sherrington, D. C., & Khoshdel, E.
- Venue
- Angewandte Chemie International Edition
- Publisher
- Wiley
- Published
- 2003-11-04
- Volume
- 42
- Issue
- 43
- Pages
- 5336-5338
- ISSN
- 1433-7851 (ISSN-L)
- 1521-3773
- OpenAlex
- W2040659522
- Cited by
- 343
- References
- 0
- FWCI
- 11.15
- Type
- journal article
- Language
- en
- Open access
- closed
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- The paper
- Wang, J., Cormack, P. A. G., Sherrington, D. C., & Khoshdel, E. (2003). Monodisperse, Molecularly Imprinted Polymer Microspheres Prepared by Precipitation Polymerization for Affinity Separation Applications. Angewandte Chemie International Edition. https://doi.org/10.1002/anie.200352298
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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.
