Enhanced photoelectrochemical water splitting of In-doped TiO2 nanorods with oxygen vacancies: synergistic effects of band structure and charge carrier dynamics engineering

Abstract

Titanium dioxide (TiO2) is a widely studied photocatalyst for photoelectrochemical (PEC) water splitting due to its excellent stability, low cost, and non-toxicity. However, conventional doping strategies to enhance TiO2 performance often increase light absorption and carrier concentration at the expense of introducing carrier recombination centers. In this study, we propose a simple one-step hydrothermal method to synthesize In-doped TiO2 nanorods, where In3+ doping synergistically stabilizes oxygen vacancies through charge compensation mechanisms. This dual modification optimizes the band structure, significantly increases charge carrier density, and reduces charge transfer resistance, leading to enhanced oxygen evolution reaction (OER) kinetics and overall PEC efficiency. The optimized In-doped TiO2 nanorods achieve a photocurrent density of 1.4 mA cm−2 at 1.23 V vs. RHE, 2.8 times higher than that of pristine TiO2. Density functional theory (DFT) calculations further reveal that In3+ doping lowers the energy barrier of the rate-determining step (*OH → *O) by modulating the electronic structure of Ti active sites. This work demonstrates a synergistic strategy of combining element doping and oxygen vacancy engineering to design high-performance TiO2-based photoanodes for solar energy conversion.

Graphical abstract: Enhanced photoelectrochemical water splitting of In-doped TiO2 nanorods with oxygen vacancies: synergistic effects of band structure and charge carrier dynamics engineering

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Article information

Article type
Paper
Submitted
18 Jun 2025
Accepted
29 Sep 2025
First published
03 Oct 2025

Catal. Sci. Technol., 2026, Advance Article

Enhanced photoelectrochemical water splitting of In-doped TiO2 nanorods with oxygen vacancies: synergistic effects of band structure and charge carrier dynamics engineering

S. Yang, B. Wang, Y. Zhang, C. Guo, S. Yang, L. Wei, J. Su and L. Guo, Catal. Sci. Technol., 2026, Advance Article , DOI: 10.1039/D5CY00739A

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