The DOI matches its Crossref record.
Thermoresponsive microgel-based materials
Abstract
With the continued development of thermoresponsive colloidal hydrogel particles, a number of groups have begun to exploit their properties to create dynamic materials self-assembled from those components. The fundamental details of how those building blocks are assembled, the component functionality, and the geometry or length-scales present in the assemblies contribute to the behavior of the resultant material. In this tutorial review, we examine recent progress in the assembly of responsive hydrogel colloids in two and three dimensions, highlighting their potential applications, especially in the domain of biotechnology.
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
Cited by
Motornov, M., Roiter, Y., Tokarev, I., & Minko, S. (2010) · Progress in Polymer Science · doi:10.1016/j.progpolymsci.2009.10.004 · Cited by 773
Cai, Z., Li, Z., Ravaine, S., He, M., Song, Y., Yin, Y., Zheng, H., Teng, J., & Zhang, A. (2021) · Chemical Society Reviews · doi:10.1039/d0cs00706d · Cited by 542
Colloidal Self-Assembly Approaches to Smart Nanostructured Materials
Li, Z., Fan, Q., & Yin, Y. (2022) · Chemical Reviews · doi:10.1021/acs.chemrev.1c00482 · Cited by 468
Thermo‐Switchable Materials Prepared Using the OEGMA‐Platform
Lutz, J. (2011) · Advanced Materials · doi:10.1002/adma.201100597 · Cited by 411
Thermosensitive Au‐PNIPA Yolk–Shell Nanoparticles with Tunable Selectivity for Catalysis
Wu, S., Dzubiella, J., Kaiser, J., Drechsler, M., Guo, X., Ballauff, M., & Lu, Y. (2012) · Angewandte Chemie International Edition · doi:10.1002/anie.201106515 · Cited by 398
Metadata
- Authors
- Lyon, L. A., Meng, Z., Singh, N., Sorrell, C. D., & St. John, A.
- Venue
- Chemical Society Reviews
- Publisher
- Royal Society of Chemistry (RSC)
- Published
- 2009
- Volume
- 38
- Issue
- 4
- Pages
- 865
- ISSN
- 0306-0012 (ISSN-L)
- 1460-4744
- OpenAlex
- W2128869577
- Cited by
- 290
- References
- 0
- FWCI
- 1.54
- 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: Thermoresponsive microgel-based materials. https://app.cochat.ai/papers/10.1039/b715522k
- The paper
- Lyon, L. A., Meng, Z., Singh, N., Sorrell, C. D., & St. John, A. (2009). Thermoresponsive microgel-based materials. Chemical Society Reviews. https://doi.org/10.1039/b715522k
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.
