The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
Enzyme-Responsive Snap-Top Covered Silica Nanocontainers
Abstract
Mesoporous silica nanoparticles, capable of storing a payload of small molecules and releasing it following specific catalytic activation by an esterase, have been designed and fabricated. The storage and release of the payload is controlled by the presence of [2]rotaxanes, which consist of tri(ethylene glycol) chains threaded by α-cyclodextrin tori, located on the surfaces of the nanoparticles and terminated by a large stoppering group. These modified silica nanoparticles are capable of encapsulating guest molecules when the [2]rotaxanes are present. The bulky stoppers, which serve to hold the tori in place, are stable under physiological conditions but are cleaved by the catalytic action of an enzyme, causing dethreading of the tori and release of the guest molecules from the pores of the nanoparticles. These snap-top covered silica nanocontainers (SCSNs) are prepared by a modular synthetic method, in which the stoppering unit, incorporated in the final step of the synthesis, may be changed at will to target the response of the system to any of a number of hydrolytic enzymes. Here, the design, synthesis, and operation of model SCSNs that open in the presence of porcine liver esterase (PLE) are reported. The empty pores of the silica nanoparticles were loaded with luminescent dye molecules (rhodamine B), and stoppering units that incorporate adamantyl ester moieties were then attached in the presence of α-cyclodextrin using the copper-catalyzed azide−alkyne cycloaddition (CuAAC), closing the SCSNs. The release of rhodamine-B from the pores of the SCSN, following PLE-mediated hydrolysis of the stoppers, was monitored using fluorescence spectroscopy.
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Tornøe, C. W., Christensen, C., & Meldal, M. (2002) · The Journal of Organic Chemistry · doi:10.1021/jo011148j · Cited by 8,696
Mesoporous silica nanoparticles for drug delivery and biosensing applications
Slowing, I. I., Trewyn, B. G., Giri, S., & Lin, V. S. ‐. (2007) · Advanced Functional Materials · doi:10.1002/adfm.200601191 · Cited by 1,699
Polyester Dendritic Systems for Drug Delivery Applications: In Vitro and In Vivo Evaluation
Padilla De Jesús, O. L., Ihre, H. R., Gagne, L., Fréchet, J. M. J., & Szoka, F. C. (2002) · Bioconjugate Chemistry · doi:10.1021/bc010103m · Cited by 507
Photo-Driven Expulsion of Molecules from Mesostructured Silica Nanoparticles
Angelos, S., Choi, E., Vögtle, F., De Cola, L., & Zink, J. I. (2007) · The Journal of Physical Chemistry C · doi:10.1021/jp070721l · Cited by 227
Self-citationMinoofar, P. N., Dunn, B. S., & Zink, J. I. (2005) · Journal of the American Chemical Society · doi:10.1021/ja045185e · Cited by 128
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Cited by
The Smart Drug Delivery System and Its Clinical Potential
Liu, D., Yang, F., Xiong, F., & Gu, N. (2016) · Theranostics · doi:10.7150/thno.14858 · Cited by 1,066
Mesoporous Silica Nanoparticles for Drug Delivery
Manzano, M., & Vallet‐Regí, M. (2020) · Advanced Functional Materials · doi:10.1002/adfm.201902634 · Cited by 939
Motornov, M., Roiter, Y., Tokarev, I., & Minko, S. (2010) · Progress in Polymer Science · doi:10.1016/j.progpolymsci.2009.10.004 · Cited by 773
Croissant, J. G., Fatieiev, Y., Almalik, A., & Khashab, N. M. (2018) · Advanced Healthcare Materials · doi:10.1002/adhm.201700831 · Cited by 594
Tunable Redox-Responsive Hybrid Nanogated Ensembles
Liu, R., Zhao, X., Wu, T., & Feng, P. (2008) · Journal of the American Chemical Society · doi:10.1021/ja8060886 · Cited by 391
Metadata
- Authors
- Patel, K., Angelos, S., Dichtel, W. R., Coskun, A., Yang, Y.-W., Zink, J. I., & Stoddart, J. F.
- Venue
- Journal of the American Chemical Society
- Publisher
- American Chemical Society (ACS)
- Published
- 2008-01-31
- Volume
- 130
- Issue
- 8
- Pages
- 2382-2383
- ISSN
- 0002-7863 (ISSN-L)
- 1520-5126
- OpenAlex
- W1990277707
- Cited by
- 576
- References
- 5
- FWCI
- 28.89
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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