Hollow porous carbon nitride nanotubes with efficient photocatalytic H2O2 generation in pure water

Abstract

Hydrogen peroxide (H2O2) is an important green oxidant. However, its industrial production remains energy-intensive and environmentally burdensome. Photocatalytic generation of H2O2 from O2 and water under visible-light irradiation is an attractive alternative, yet its efficiency is often limited by sluggish oxygen activation and severe charge recombination. Here, we report a triazine-based graphitic carbon nitride material featuring a hollow, porous nanotube morphology, synthesized via a straightforward, salt-free approach. This method produces a narrow mesopore size distribution without the use of templates or structure-directing agents. The resulting photocatalyst exhibits enhanced visible-light absorption, a high specific surface area, and restricted charge recombination. In comparison with a heptazine-based analogue, the triazine nanotubes exhibit stronger O2 adsorption and a more negative conduction-band potential, thereby facilitating a thermodynamically more favorable reduction of O2 to H2O2. Their electrons are also more reactive due to higher mobility, thus allowing for rapid reaction with O2. Under visible-light irradiation (λ > 390 nm), an H2O2 production rate of 115 μM h−1 is achieved in pure water under O2 flow, without the use of sacrificial reagents and cocatalysts. The triazine sample achieves an AQY of 1% at 420 nm in pure water. Mechanistic investigations indicate that H2O2 formation predominantly proceeds via a superoxide-mediated one-electron oxygen reduction pathway.

Graphical abstract: Hollow porous carbon nitride nanotubes with efficient photocatalytic H2O2 generation in pure water

Supplementary files

Article information

Article type
Paper
Submitted
30 Jan 2026
Accepted
09 Apr 2026
First published
23 Apr 2026

Nanoscale, 2026, Advance Article

Hollow porous carbon nitride nanotubes with efficient photocatalytic H2O2 generation in pure water

H. Sudrajat, A. Susanti, J. Phanthuwongpakdee and M. Asnal, Nanoscale, 2026, Advance Article , DOI: 10.1039/D6NR00414H

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