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author:

Hou, Weidong (Hou, Weidong.) [1] | Guo, Huazhang (Guo, Huazhang.) [2] | Wu, Minghong (Wu, Minghong.) [3] (Scholars:吴明红) | Wang, Liang (Wang, Liang.) [4]

Indexed by:

SCIE

Abstract:

Inefficient charge separation and slow interfacial reaction dynamics significantly hamper the efficiency of photocatalytic CO2 reduction. Herein, a facile EDC/NHS-assisted linking strategy was developed to enhance charge separation in heterojunction photocatalysts. Using this approach, we successfully synthesized amide-bonded carbon quantum dot-g-C3N4 (CQD-CN) heterojunction photocatalysts. The formation of amide covalent bonds between CN and CQDs in the CN-CQD facilitates efficient carrier migration, CO2 adsorption, and activation. Exploiting these advantages, the CN-CQD photocatalysts exhibit high selectivity with CO and CH4 evolution rates of 79.2 and 2.7 mu mol g(-1) h(-1), respectively. These rates are about 1.7 and 3.6 times higher than those of CN@CQD and bulk CN, respectively. Importantly, the CN-CQD photocatalysts demonstrate exceptional stability, even after 12 h of continuous testing. The presence of the COOH* signal is identified as a crucial intermediate species in the conversion of CO2 to CO. This study presents a covalent bonding engineering strategy for developing high-performance heterojunction photocatalysts for efficient solar-driven reduction of CO2.

Keyword:

amide covalent bond carbonquantum dots charge separation CO2 photoreduction heterojunction

Community:

  • [ 1 ] [Hou, Weidong]Shanghai Univ, Inst Nanochem & Nanobiol, Sch Environm & Chem Engn, Shanghai 200444, Peoples R China
  • [ 2 ] [Guo, Huazhang]Shanghai Univ, Inst Nanochem & Nanobiol, Sch Environm & Chem Engn, Shanghai 200444, Peoples R China
  • [ 3 ] [Wang, Liang]Shanghai Univ, Inst Nanochem & Nanobiol, Sch Environm & Chem Engn, Shanghai 200444, Peoples R China
  • [ 4 ] [Wu, Minghong]Shanghai Univ, Sch Environm & Chem Engn, Key Lab Organ Cpd Pollut Control Engn MOE, Shanghai 200444, Peoples R China

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Source :

ACS NANO

ISSN: 1936-0851

Year: 2023

1 7 . 1 0 0

JCR@2022

CAS Journal Grade:1

Cited Count:

WoS CC Cited Count: 43

SCOPUS Cited Count: 42

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 2

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