The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Scalable and Template-Free Aqueous Synthesis of Zirconium-Based Metal–Organic Framework Coating on Textile Fiber
Abstract
Organophosphonate-based nerve agents, such as VX, Sarin (GB), and Soman (GD), are among the most toxic chemicals to humankind. Recently, we have shown that Zr-based metal-organic frameworks (Zr-MOFs) can effectively catalyze the hydrolysis of these toxic chemicals for diminishing their toxicity. On the other hand, utilizing these materials in powder form is not practical, and developing scalable and economical processes for integrating these materials onto fibers is crucial for protective gear. Herein, we report a scalable, template-free, and aqueous solution-based synthesis strategy for the production of Zr-MOF-coated textiles. Among all MOF/fiber composites reported to date, the MOF-808/polyester fibers exhibit the highest rates of nerve agent hydrolysis. Moreover, such highly porous fiber composites display significantly higher protection time compared to that of its parent fabric for a mustard gas simulant, 2-chloroethyl ethyl sulfide (CEES). A decreased diffusion rate of toxic chemicals through the MOF layer can provide time needed for the destruction of the harmful species.
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
Metal-organic framework materials as catalysts
Lee, J., Farha, O. K., Roberts, J., Scheidt, K. A., Nguyen, S. T., & Hupp, J. T. (2009) · Chemical Society Reviews · doi:10.1039/b807080f · Cited by 7,969
Self-citationAcetylcholinesterase Inhibitors: Pharmacology and Toxicology
Colovic, M. B., Krstic, D. Z., Lazarevic-Pasti, T. D., Bondzic, A. M., & Vasic, V. M. (2013) · Current Neuropharmacology · doi:10.2174/1570159x11311030006 · Cited by 2,611
Cited by
Metal–Organic Framework-Based Catalysts with Single Metal Sites
Wei, Y.-S., Zhang, M., Zou, R., & Xu, Q. (2020) · Chemical Reviews · doi:10.1021/acs.chemrev.9b00757 · Cited by 1,233
Metal–Organic Frameworks against Toxic Chemicals
Islamoglu, T., Chen, Z., Wasson, M. C., Buru, C. T., Kirlikovali, K. O., Afrin, U., Mian, M. R., & Farha, O. K. (2020) · Chemical Reviews · doi:10.1021/acs.chemrev.9b00828 · Cited by 707
Self-citationElectronic Textiles for Wearable Point-of-Care Systems
Chen, G., Xiao, X., Zhao, X., Tat, T., Bick, M., & Chen, J. (2022) · Chemical Reviews · doi:10.1021/acs.chemrev.1c00502 · Cited by 688
Bioinspired Framework Catalysts: From Enzyme Immobilization to Biomimetic Catalysis
Wang, K.-Y., Zhang, J., Hsu, Y.-C., Lin, H., Han, Z., Pang, J., Yang, Z., Liang, R.-R., Shi, W., & Zhou, H.-C. (2023) · Chemical Reviews · doi:10.1021/acs.chemrev.2c00879 · Cited by 490
Kirlikovali, K. O., Chen, Z., Islamoglu, T., Hupp, J. T., & Farha, O. K. (2020) · ACS Applied Materials & Interfaces · doi:10.1021/acsami.9b20154 · Cited by 286
Self-citation
Metadata
- Authors
- Ma, K., Islamoglu, T., Chen, Z., Li, P., Wasson, M. C., Chen, Y., Wang, Y., Peterson, G. W., Xin, J. H., & Farha, O. K.
- Venue
- Journal of the American Chemical Society
- Publisher
- American Chemical Society (ACS)
- Published
- 2019-09-18
- Volume
- 141
- Issue
- 39
- Pages
- 15626-15633
- ISSN
- 0002-7863 (ISSN-L)
- 1520-5126
- OpenAlex
- W2974102229
- Cited by
- 209
- References
- 2
- FWCI
- 9.28
- 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.