The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Multifunctional Hybrid Nanogel for Integration of Optical Glucose Sensing and Self-Regulated Insulin Release at Physiological pH
Abstract
Optical detection of glucose, high drug loading capacity, and self-regulated drug delivery are simultaneously possible using a multifunctional hybrid nanogel particle under a rational design in a colloid chemistry method. Such hybrid nanogels are made of Ag nanoparticle (NP) cores covered by a copolymer gel shell of poly(4-vinylphenylboronic acid-co-2-(dimethylamino)ethyl acrylate) [p(VPBA-DMAEA)]. The introduction of the glucose sensitive p(VPBA-DMAEA) gel shell onto Ag NPs makes the polymer-bound Ag NPs responsive to glucose. While the small sized Ag cores (10 +/- 3 nm) provide fluorescence as an optical code, the responsive polymer gel shell can adapt to a surrounding medium of different glucose concentrations over a clinically relevant range (0-30 mM), convert the disruptions in homeostasis of glucose level into optical signals, and regulate release of preloaded insulin. This shows a new proof-of-concept for diabetes treatment that exploits the properties from each building block of a multifunctional nano-object. The highly versatile multifunctional hybrid nanogels could potentially be used for simultaneous optical diagnosis, self-regulated therapy, and monitoring of the response to treatment.
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
Factors affecting the clearance and biodistribution of polymeric nanoparticles
Alexis, F., Pridgen, E., Molnar, L. K., & Farokhzad, O. C. (2008) · Molecular Pharmaceutics · doi:10.1021/mp800051m · Cited by 3,699
Fluorescence-based glucose sensors
Pickup, J. C., Hussain, F., Evans, N. D., Rolinski, O. J., & Birch, D. J. S. (2005) · Biosensors and Bioelectronics · doi:10.1016/j.bios.2004.10.002 · Cited by 616
Cited by
Kocak, G., Tuncer, C., & Bütün, V. (2017) · Polymer Chemistry · doi:10.1039/c6py01872f · Cited by 1,189
Fluorescent silver nanoclusters
Díez, I., & Ras, R. H. A. (2011) · Nanoscale · doi:10.1039/c1nr00006c · Cited by 851
Agrawal, M., Saraf, S., Saraf, S., Antimisiaris, S. G., Chougule, M. B., Shoyele, S. A., & Alexander, A. (2018) · Journal of Controlled Release · doi:10.1016/j.jconrel.2018.05.011 · Cited by 630
Multi-stimuli responsive macromolecules and their assemblies
Zhuang, J., Gordon, M. R., Ventura, J., Li, L., & Thayumanavan, S. (2013) · Chemical Society Reviews · doi:10.1039/c3cs60094g · Cited by 621
Glucose-responsive insulin patch for the regulation of blood glucose in mice and minipigs
Yu, J., Wang, J., Zhang, Y., Chen, G., Mao, W., Ye, Y., Kahkoska, A. R., Buse, J. B., Langer, R., & Gu, Z. (2020) · Nature Biomedical Engineering · doi:10.1038/s41551-019-0508-y · Cited by 604
Injectable Nano-Network for Glucose-Mediated Insulin Delivery
Gu, Z., Aimetti, A. A., Wang, Q., Dang, T. T., Zhang, Y., Veiseh, O., Cheng, H., Langer, R. S., & Anderson, D. G. (2013) · ACS Nano · doi:10.1021/nn400630x · Cited by 462
Glucose-Responsive Microgels Integrated with Enzyme Nanocapsules for Closed-Loop Insulin Delivery
Gu, Z., Dang, T. T., Ma, M., Tang, B. C., Cheng, H., Jiang, S., Dong, Y., Zhang, Y., & Anderson, D. G. (2013) · ACS Nano · doi:10.1021/nn401617u · Cited by 428
Stimulus responsive nanogels for drug delivery
Zha, L., Banik, B., & Alexis, F. (2011) · Soft Matter · doi:10.1039/c0sm01307b · Cited by 391
Glucose Sensing in Supramolecular Chemistry
Sun, X., & James, T. D. (2015) · Chemical Reviews · doi:10.1021/cr500562m · Cited by 386
Emerging micro- and nanotechnology based synthetic approaches for insulin delivery
Mo, R., Jiang, T., Di, J., Tai, W., & Gu, Z. (2014) · Chemical Society Reviews · doi:10.1039/c3cs60436e · Cited by 386
Zhang, L., Zhang, Z.-Y., Liang, R.-P., Li, Y.-H., & Qiu, J.-D. (2014) · Analytical Chemistry · doi:10.1021/ac500289c · Cited by 382
Micro- and nanogels with labile crosslinks – from synthesis to biomedical applications
Zhang, X., Malhotra, S., Molina, M., & Haag, R. (2015) · Chemical Society Reviews · doi:10.1039/c4cs00341a · Cited by 364
Polymeric nanostructured materials for biomedical applications
Tang, Z., He, C., Tian, H., Ding, J., Hsiao, B. S., Chu, B., & Chen, X. (2016) · Progress in Polymer Science · doi:10.1016/j.progpolymsci.2016.05.005 · Cited by 363
pH ‐sensitive polymers: Classification and some fine potential applications
Ofridam, F., Tarhini, M., Lebaz, N., Gagnière, É., Mangin, D., & Elaissari, A. (2021) · Polymers for Advanced Technologies · doi:10.1002/pat.5230 · Cited by 286
Reusable, Robust, and Accurate Laser-Generated Photonic Nanosensor
Yetisen, A. K., Montelongo, Y., da Cruz Vasconcellos, F., Martinez-Hurtado, J. L., Neupane, S., Butt, H., Qasim, M. M., Blyth, J., Burling, K., Carmody, J. B., et al. (2014) · Nano Letters · doi:10.1021/nl5012504 · Cited by 123
Block versus Random Amphiphilic Glycopolymer Nanopaticles as Glucose-Responsive Vehicles
Guo, Q., Zhang, T., An, J., Wu, Z., Zhao, Y., Dai, X., Zhang, X., & Li, C. (2015) · Biomacromolecules · doi:10.1021/acs.biomac.5b01020 · Cited by 75
Metadata
- Authors
- Wu, W., Mitra, N., Yan, E. C. Y., & Zhou, S.
- Venue
- ACS Nano
- Publisher
- American Chemical Society (ACS)
- Published
- 2010-07-12
- Volume
- 4
- Issue
- 8
- Pages
- 4831-4839
- ISSN
- 1936-0851 (ISSN-L)
- 1936-086X
- OpenAlex
- W2002922309
- Cited by
- 309
- References
- 2
- FWCI
- 8.85
- 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
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.
