The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Enzyme-responsive materials: a new class of smart biomaterials
Abstract
Enzyme-responsive materials (ERMs) are a new class of smart materials that undergo macroscopic transitions when triggered by selective catalytic actions of enzymes. The use of enzymes as stimuli to trigger mechanical responses in materials opens up a number of possible applications in biology and medicine. Three different classes of ERMs are described, based on supramolecular assemblies, chemically crosslinked gels and (nanoparticle) surfaces. Potential applications in regenerative medicine, diagnostics, and drug delivery are discussed.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Lutolf, M. P., & Hubbell, J. A. (2005) · Nature Biotechnology · doi:10.1038/nbt1055 · Cited by 4,551
Designing materials for biology and medicine
Langer, R., & Tirrell, D. A. (2004) · Nature · doi:10.1038/nature02388 · Cited by 3,198
Cited by
Engineered Nanoparticles for Drug Delivery in Cancer Therapy
Sun, T., Zhang, Y. S., Pang, B., Hyun, D. C., Yang, M., & Xia, Y. (2014) · Angewandte Chemie International Edition · doi:10.1002/anie.201403036 · Cited by 2,164
New directions in thermoresponsive polymers
Roy, D., Brooks, W. L. A., & Sumerlin, B. S. (2013) · Chemical Society Reviews · doi:10.1039/c3cs35499g · Cited by 1,311
Stimuli-responsive polymers and their applications
Wei, M., Gao, Y., Li, X., & Serpe, M. J. (2017) · Polymer Chemistry · doi:10.1039/c6py01585a · Cited by 1,298
pH-Sensitive nano-systems for drug delivery in cancer therapy
Liu, J., Huang, Y., Kumar, A., Tan, A., Jin, S., Mozhi, A., & Liang, X.-J. (2014) · Biotechnology Advances · doi:10.1016/j.biotechadv.2013.11.009 · Cited by 1,121
Advances in Biomaterials for Drug Delivery
Fenton, O. S., Olafson, K. N., Pillai, P. S., Mitchell, M. J., & Langer, R. (2018) · Advanced Materials · doi:10.1002/adma.201705328 · Cited by 855
Metadata
- Authors
- Ulijn, R. V.
- Venue
- Journal of Materials Chemistry
- Publisher
- Royal Society of Chemistry (RSC)
- Published
- 2006
- Volume
- 16
- Issue
- 23
- Pages
- 2217
- ISSN
- 0959-9428 (ISSN-L)
- 1364-5501
- OpenAlex
- W2037621579
- Cited by
- 467
- References
- 2
- FWCI
- 8.32
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Enzyme-responsive materials: a new class of smart biomaterials. https://app.cochat.ai/papers/10.1039/b601776m
- The paper
- Ulijn, R. V. (2006). Enzyme-responsive materials: a new class of smart biomaterials. Journal of Materials Chemistry. https://doi.org/10.1039/b601776m
Data sources
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.