The DOI matches its Crossref record.
Fabrication of Ultrafine Metal-Oxide-Decorated Carbon Nanofibers for DMMP Sensor Application
Abstract
Ultrafine metal-oxide-decorated hybrid carbon nanofibers (CNFs) were fabricated by a single-nozzle co-electrospinning process using a phase-separated mixed polymer composite solution and heat treatment. To decorate metal oxides on the CNF surface, core (PAN) and shell (PVP) structured nanofibers (NFs) were fabricated as starting materials. The core-shell NF structure was prepared by single-nozzle co-electrospinning because of the incompatibility of the two polymers. Ultrafine hybrid CNFs were then formed by decomposing the PVP phase, converting the metal precursors to metal oxide nanonodules, and transforming the PAN to CNFs of ca. 40 nm diameter during heat treatment. The decoration morphology of the metal oxide nanonodules could be controlled by precursor concentration in the PVP solution. These ultrafine hybrid CNFs were applied to a dimethyl methylphosphonate (DMMP) chemical sensor at room temperature with excellent sensitivity. The minimum detectable level (MDL) of hybrid CNFs was as low as 0.1 ppb, which is 10-100 times higher than for a chemical sensor based on carbon nanotubes. This is because the metal oxide nanonodules of hybrid CNFs increase the surface area and affinity to DMMP vapor. Our new synthetic methodology promises to be an effective approach to fabricating hybrid CNF/inorganic nanostructures for future sensing technologies.
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
Wood-Derived Materials for Green Electronics, Biological Devices, and Energy Applications
Zhu, H., Luo, W., Ciesielski, P. N., Fang, Z., Zhu, J. Y., Henriksson, G., Himmel, M. E., & Hu, L. (2016) · Chemical Reviews · doi:10.1021/acs.chemrev.6b00225 · Cited by 1,532
A Review on Graphene-Based Gas/Vapor Sensors with Unique Properties and Potential Applications
Wang, T., Huang, D., Yang, Z., Xu, S., He, G., Li, X., Hu, N., Yin, G., He, D., & Zhang, L. (2016) · Nano-Micro Letters · doi:10.1007/s40820-015-0073-1 · Cited by 600
Yao, H., Zheng, G., Hsu, P.-C., Kong, D., Cha, J. J., Li, W., Seh, Z. W., McDowell, M. T., Yan, K., Liang, Z., et al. (2014) · Nature Communications · doi:10.1038/ncomms4943 · Cited by 398
Shin, J., Choi, S., Lee, I., Youn, D., Park, C. O., Lee, J., Tuller, H. L., & Kim, I. (2013) · Advanced Functional Materials · doi:10.1002/adfm.201202729 · Cited by 391
Self-citation“Metal oxide -based heterostructures for gas sensors”- A review
Zappa, D., Galstyan, V., Kaur, N., Munasinghe Arachchige, H. M. M., Sisman, O., & Comini, E. (2018) · Analytica Chimica Acta · doi:10.1016/j.aca.2018.09.020 · Cited by 371
Recent advances in carbon material-based NO2 gas sensors
Lee, S. W., Lee, W., Hong, Y., Lee, G., & Yoon, D. S. (2018) · Sensors and Actuators B: Chemical · doi:10.1016/j.snb.2017.08.203 · Cited by 304
He, J., Wang, W., Sun, F., Shi, W., Qi, D., Wang, K., Shi, R., Cui, F., Wang, C., & Chen, X. (2015) · ACS Nano · doi:10.1021/acsnano.5b04236 · Cited by 226
Hydrogen gas sensor based on metal oxide nanoparticles decorated graphene transistor
Zhang, Z., Zou, X., Xu, L., Liao, L., Liu, W., Ho, J., Xiao, X., Jiang, C., & Li, J. (2015) · Nanoscale · doi:10.1039/c5nr01924a · Cited by 212
Design and Fabrication of Fibrous Nanomaterials Using Pull Spinning
Deravi, L. F., Sinatra, N. R., Chantre, C. O., Nesmith, A. P., Yuan, H., Deravi, S. K., Goss, J. A., MacQueen, L. A., Badrossamy, M. R., Gonzalez, G. M., et al. (2017) · Macromolecular Materials and Engineering · doi:10.1002/mame.201600404 · Cited by 60
Metadata
- Authors
- Lee, J. S., Kwon, O. S., Park, S. J., Park, E. Y., You, S. A., Yoon, H., & Jang, J.
- Venue
- ACS Nano
- Publisher
- American Chemical Society (ACS)
- Published
- 2011-09-15
- Volume
- 5
- Issue
- 10
- Pages
- 7992-8001
- ISSN
- 1936-0851 (ISSN-L)
- 1936-086X
- OpenAlex
- W2328727506
- Cited by
- 219
- References
- 0
- FWCI
- 10.25
- 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.
