The DOI matches its Crossref record; 49 of the 49 references it cites were found in a registry or an index.
Green preparation of reduced graphene oxide for sensing and energy storage applications
Open accessAbstract
Preparation of graphene from chemical reduction of graphene oxide (GO) is recognized as one of the most promising methods for large-scale and low-cost production of graphene-based materials. This study reports a new, green and efficient reducing agent (caffeic acid/CA) for GO reduction. The CA-reduced GO (CA-rGO) shows a high C/O ratio (7.15) that is among the best rGOs prepared with green reducing reagents. Electronic gas sensors and supercapacitors have been fabricated with the CA-rGO and show good performance, which demonstrates the potential of CA-rGO for sensing and energy storage applications.
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Self-citation
Cited by
Kumar, 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
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Natural polyphenols as versatile platforms for material engineering and surface functionalization
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Graphene-based nanomaterials for drug and/or gene delivery, bioimaging, and tissue engineering
Zhao, H., Ding, R., Zhao, X., Li, Y., Qu, L., Pei, H., Yildirimer, L., Wu, Z., & Zhang, W. (2017) · Drug Discovery Today · doi:10.1016/j.drudis.2017.04.002 · Cited by 336
Top-down synthesis of graphene: A comprehensive review
Kumar, N., Salehiyan, R., Chauke, V., Joseph Botlhoko, O., Setshedi, K., Scriba, M., Masukume, M., & Sinha Ray, S. (2021) · FlatChem · doi:10.1016/j.flatc.2021.100224 · Cited by 336
Metadata
- Authors
- Bo, Z., Shuai, X., Mao, S., Yang, H., Qian, J., Chen, J., Yan, J., & Cen, K.
- Venue
- Scientific Reports
- Published
- 2014-04-15
- Volume
- 4
- Issue
- 1
- Pages
- 4684-4684
- ISSN
- 2045-2322 (ISSN-L)
- OpenAlex
- W2053997076
- Cited by
- 560
- References
- 49
- FWCI
- 23.08
- Type
- journal article
- Language
- en
- Open access
- gold
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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.