4.6 Article

Sn2+ and Cu2+ Self-Codoped Cu2ZnSnS4 Nanosheets Switching from p-Type to n-Type Semiconductors for Visible-Light-Driven CO2 Reduction

Journal

ACS SUSTAINABLE CHEMISTRY & ENGINEERING
Volume 10, Issue 27, Pages 8825-8834

Publisher

AMER CHEMICAL SOC
DOI: 10.1021/acssuschemeng.2c01564

Keywords

KEYWORDS; Cu 2 ZnSnS 4; Photocatalysis; Self-codoping; Energy level engineering; CO 2 reduction

Funding

  1. National Natural Science Foundation of China [21972020]
  2. Major Program of Qingyuan Innovation Laboratory [00121001]
  3. Natural Science Foundation of Fujian Province of PR China [2020L3003]

Ask authors/readers for more resources

This study demonstrates the ability to tune the energy level of photocatalysts by self-codoping low-valence Sn2+ and high-valence Cu2+ ions, leading to a change in semiconductor behavior and improved CO2 photoreduction performance. The versatile approach of different valence metal ion self-codoping offers a powerful technique for engineering the energy level of multimetal semiconductor photocatalysts.
ABSTRACT: Energy level engineering is a powerful technique to tune the electron transport and the photocatalytic properties of photocatalysts with low-valence Sn2+ and high-valence Cu2+ selfcodoping by solvothermal method. The band gap energy level and Fermi level of Cu2ZnSnS4 nanosheets can be adjusted by controlling Sn2+ and Cu2+ self-codoping at different solvothermal temperature. This leads to semiconductor behavior change from p-type of the intrinsic Cu2ZnSnS4 to the n-type of self-codoped sample. The n-type Cu2ZnSnS4 nanosheets exhibit a good CO2 photoreduction performance to yield 48.14 and 25.04 mu mol g-1 h-1 of CO and CH4, where CO yields on n-type Cu2ZnSnS4 is about 4 times higher than that on the intrinsic Cu2ZnSnS4. This work offers a versatile approach of different valence metal ion self-codoping to engineer the energy level of multimetal semiconductor photocatalyst.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.6
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available