钒酸铋
量子点
材料科学
氧气
铋
氮化物
析氧
钒酸盐
光电子学
纳米技术
光伏系统
化学工程
化学
冶金
电极
光催化
图层(电子)
催化作用
物理化学
有机化学
工程类
生物
生物化学
电化学
生态学
作者
Ziming Wang,Zhaohui Fang,Jiabin Zhou,Quanjun Xiang
出处
期刊:Solar RRL
[Wiley]
日期:2025-08-24
卷期号:9 (18)
标识
DOI:10.1002/solr.202500526
摘要
This study proposes a strategy for passivating intrinsic oxygen vacancies (Ovac) on BiVO 4 photoanodes through surface modification with carbon nitride quantum dots (CNQDs). The BiVO 4 ‐CNQDs photoanode was fabricated via chemical bath deposition and calcination, achieving significant Ovac suppression without compromising the crystallinity of the BiVO 4 framework. This Ovac reduction critically alters the thermodynamic landscape of water oxidation by modulating intermediate adsorption energetics, steering the reaction pathway toward selective H 2 O 2 generation. The optimized BiVO 4 ‐CNQDs photoanode demonstrates a 24.91% average Faradaic efficiency (FE) for H 2 O 2 production, representing a 1.38‐fold enhancement over the pristine BiVO 4 photoanode. By integrating an In 2 O 3 passivation layer, a BiVO 4 ‐CNQDs‐In 2 O 3 photoanode was formed, and the average FE of H 2 O 2 preparation reached 28.16%, achieving further performance improvement. The generated electrons and holes can be more effectively transferred from BiVO 4 to the In 2 O 3 passivation layer before participating in subsequent electrochemical reactions. This dual modification synergistically promotes the quasi‐Fermi level of holes to move toward the anode and reduces band bending, synergistically driving photo generated holes toward the higher oxidation potentials to accelerate the selective conversion of H 2 O to H 2 O 2 . The BiVO 4 ‐CNQDs‐In 2 O 3 photoanode achieves a 1.58‐fold improvement in average H 2 O 2 FE within the 1.2–2.4 V versus reversible hydrogen electrode (RHE) range compared to unmodified BiVO 4 . This work establishes an innovative approach for modulating inherent Ovac in BiVO 4 photoanode and optimizing the preparation pathway of H 2 O 2 through the vacancy engineering.
科研通智能强力驱动
Strongly Powered by AbleSci AI