The DOI matches its Crossref record.
Modifying Carbon Particles with Polypyrrole for Adsorption of Cobalt Ions as Electrocatatytic Site for Oxygen Reduction
Abstract
Carbon nanoparticles modified with a polypyrrole (PPy) film, impregnated with a solution of a cobalt salt, and heat-treated under an inert atmosphere at 600−700 °C are a good electrocatalyst for the four-electron reduction of O2.
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Citations
Cited by
Shao, Y., Sui, J., Yin, G., & Gao, Y. (2008) · Applied Catalysis B: Environmental · doi:10.1016/j.apcatb.2007.09.047 · Cited by 763
Carbon-based electrocatalysts for advanced energy conversion and storage
Zhang, J., Xia, Z., & Dai, L. (2015) · Science Advances · doi:10.1126/sciadv.1500564 · Cited by 735
Zhang, J., & Dai, L. (2015) · ACS Catalysis · doi:10.1021/acscatal.5b01563 · Cited by 590
Qian, Y., Liu, Z., Zhang, H., Wu, P., & Cai, C. (2016) · ACS Applied Materials & Interfaces · doi:10.1021/acsami.6b11927 · Cited by 150
Metadata
- Authors
- Yuasa, M., Yamaguchi, A., Itsuki, H., Tanaka, K., Yamamoto, M., & Oyaizu, K.
- Venue
- Chemistry of Materials
- Publisher
- American Chemical Society (ACS)
- Published
- 2005-07-21
- Volume
- 17
- Issue
- 17
- Pages
- 4278-4281
- ISSN
- 0897-4756 (ISSN-L)
- 1520-5002
- OpenAlex
- W2016829779
- Cited by
- 228
- References
- 0
- FWCI
- 8.34
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Modifying Carbon Particles with Polypyrrole for Adsorption of Cobalt Ions as Electrocatatytic Site for Oxygen Reduction. https://app.cochat.ai/papers/10.1021/cm050958z
- The paper
- Yuasa, M., Yamaguchi, A., Itsuki, H., Tanaka, K., Yamamoto, M., & Oyaizu, K. (2005). Modifying Carbon Particles with Polypyrrole for Adsorption of Cobalt Ions as Electrocatatytic Site for Oxygen Reduction. Chemistry of Materials. https://doi.org/10.1021/cm050958z
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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.