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Cited by 482

The DOI matches its Crossref record; 53 of the 53 references it cites were found in a registry or an index.

Nature-Inspired, Highly Durable CO2 Reduction System Consisting of a Binuclear Ruthenium(II) Complex and an Organic Semiconductor Using Visible Light

Open access
Kuriki, Ryo, Matsunaga, Hironori, Nakashima, Takuya, Wada, Keisuke, Yamakata, Akira, Ishitani, Osamu, Maeda, Kazuhiko·2016·Journal of the American Chemical Society

Abstract

A metal-free organic semiconductor of mesoporous graphitic carbon nitride (C3N4) coupled with a Ru(II) binuclear complex (RuRu') containing photosensitizer and catalytic units selectively reduced CO2 into HCOOH under visible light (λ > 400 nm) in the presence of a suitable electron donor with high durability, even in aqueous solution. Modification of C3N4 with Ag nanoparticles resulted in a RuRu'/Ag/C3N4 photocatalyst that exhibited a very high turnover number (>33000 with respect to the amount of RuRu'), while maintaining high selectivity for HCOOH production (87-99%). This turnover number was 30 times greater than that reported previously using C3N4 modified with a mononuclear Ru(II) complex, and by far the highest among the metal-complex/semiconductor hybrid systems reported to date. The results of photocatalytic reactions, emission decay measurements, and time-resolved infrared spectroscopy indicated that Ag nanoparticles on C3N4 collected electrons having lifetimes of several milliseconds from the conduction band of C3N4, which were transferred to the excited state of RuRu', thereby promoting photocatalytic CO2 reduction driven by two-step photoexcitation of C3N4 and RuRu'. This study also revealed that the RuRu'/Ag/C3N4 hybrid photocatalyst worked efficiently in water containing a proper electron donor, despite the intrinsic hydrophobic nature of C3N4 and low solubility of CO2 in an aqueous environment.

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Metadata

Authors
Kuriki, R., Matsunaga, H., Nakashima, T., Wada, K., Yamakata, A., Ishitani, O., & Maeda, K.
Venue
Journal of the American Chemical Society
Published
2016-04-12
Volume
138
Issue
15
Pages
5159-5170
ISSN
  • 0002-7863 (ISSN-L)
  • 1520-5126
OpenAlex
W2314894332
Cited by
482
References
53
FWCI
20.38
Type
journal article
Language
en
Open access
hybrid

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