The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Transparent, Flexible, All-Reduced Graphene Oxide Thin Film Transistors
Abstract
Owing to their unique thickness-dependent electronic properties, together with perfect flexibility and transparency, graphene and its relatives make fantastic material for use in both active channel and electrodes in various electronic devices. On the other hand, the electronic sensors based on graphene show high potential in detection of both chemical and biological species with high sensitivity. In this contribution, we report the fabrication of all-reduced graphene oxide (rGO) thin film transistors by a combination of solution-processed rGO electrodes with a micropatterned rGO channel, and then study their applications in biosensing. Our all-rGO devices are cost-effective, highly reproducible, and reliable. The fabricated electronic sensor is perfectly flexible with high transparency, showing good sensitivity in detecting proteins in the physiological buffer. As a proof of concept, fibronectin as low as 0.5 nM was successfully detected, which is comparable with the previously reported protein sensors based on single-layer pristine graphene obtained from mechanical cleavage. The specific detection of avidin by using biotinylated all-rGO sensor is also successfully demonstrated.
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
Highly sensitive flexible pressure sensors with microstructured rubber dielectric layers
Mannsfeld, S. C. B., Tee, B. C.-K., Stoltenberg, R. M., Chen, C. V. H.-H., Barman, S., Muir, B. V. O., Sokolov, A. N., Reese, C., & Bao, Z. (2010) · Nature Materials · doi:10.1038/nmat2834 · Cited by 3,291
Cited by
Hammock, M. L., Chortos, A., Tee, B. C. ‐., Tok, J. B. ‐., & Bao, Z. (2013) · Advanced Materials · doi:10.1002/adma.201302240 · Cited by 2,396
Biological and chemical sensors based on graphene materials
Liu, Y., Dong, X., & Chen, P. (2012) · Chem. Soc. Rev. · doi:10.1039/c1cs15270j · Cited by 1,748
Self-citationGraphene-polymer nanocomposites for structural and functional applications
Hu, K., Kulkarni, D. D., Choi, I., & Tsukruk, V. V. (2014) · Progress in Polymer Science · doi:10.1016/j.progpolymsci.2014.03.001 · Cited by 1,085
Wearable Chemical Sensors: Present Challenges and Future Prospects
Bandodkar, A. J., Jeerapan, I., & Wang, J. (2016) · ACS Sensors · doi:10.1021/acssensors.6b00250 · Cited by 778
Graphene-based electronic sensors
He, Q., Wu, S., Yin, Z., & Zhang, H. (2012) · Chemical Science · doi:10.1039/c2sc20205k · Cited by 745
Self-citationCao, X., Shi, Y., Shi, W., Rui, X., Yan, Q., Kong, J., & Zhang, H. (2013) · Small · doi:10.1002/smll.201202697 · Cited by 580
Self-citationKumar, R., Sahoo, S., Joanni, E., Singh, R. K., Tan, W. K., Kar, K. K., & Matsuda, A. (2019) · Progress in Energy and Combustion Science · doi:10.1016/j.pecs.2019.100786 · Cited by 554
Conductive nanomaterials for 2D and 3D printed flexible electronics
Kamyshny, A., & Magdassi, S. (2019) · Chemical Society Reviews · doi:10.1039/c8cs00738a · Cited by 469
Liu, J., Zeng, Z., Cao, X., Lu, G., Wang, L., Fan, Q., Huang, W., & Zhang, H. (2012) · Small · doi:10.1002/smll.201200999 · Cited by 448
Self-citationWu, S., Zeng, Z., He, Q., Wang, Z., Wang, S. J., Du, Y., Yin, Z., Sun, X., Chen, W., & Zhang, H. (2012) · Small · doi:10.1002/smll.201200044 · Cited by 403
Self-citationGraphene-based biosensors for detection of bacteria and their metabolic activities
Huang, Y., Dong, X., Liu, Y., Li, L.-J., & Chen, P. (2011) · Journal of Materials Chemistry · doi:10.1039/c1jm11436k · Cited by 375
Self-citationWang, J., & Chen, B. (2015) · Chemical Engineering Journal · doi:10.1016/j.cej.2015.06.102 · Cited by 374
Synthesis and applications of graphene-based noble metal nanostructures
Tan, C., Huang, X., & Zhang, H. (2013) · Materials Today · doi:10.1016/j.mattod.2013.01.021 · Cited by 286
Self-citationTrung, T. Q., Ramasundaram, S., Hong, S. W., & Lee, N. (2014) · Advanced Functional Materials · doi:10.1002/adfm.201304224 · Cited by 132
Metadata
- Authors
- He, Q., Wu, S., Gao, S., Cao, X., Yin, Z., Li, H., Chen, P., & Zhang, H.
- Venue
- ACS Nano
- Publisher
- American Chemical Society (ACS)
- Published
- 2011-05-04
- Volume
- 5
- Issue
- 6
- Pages
- 5038-5044
- ISSN
- 1936-0851 (ISSN-L)
- 1936-086X
- OpenAlex
- W2018219174
- Cited by
- 328
- References
- 1
- FWCI
- 28.52
- 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.