Tuned Oxidation Potential of Continuous Defective Photocatalyst for Selective Biomass Conversion

Photocatalytic biomass conversion offers an energy-efficient, low-carbon route for the sustainable production of fine chemicals. However, selectivity control of biomass valorization is challenging due to the presence of multiple functional groups and competing reaction pathways. Herein, we report a wavelength-controlled photocatalytic strategy with adaptive oxidative capability for regulating biomass conversion selectivity. Using black TiO<sub>2</sub> with continuous defect energy levels as a model photocatalyst, the wavelength-dependent excitation of defect states confers adaptive oxidative behavior, enabling selective conversion of xylose into high-value xylonic acid under visible light, avoiding over-oxidation into low-value C1 products under UV irradiation. The high selectivity is attributed to the tunable photooxidation capability of defect states, where the oxidation potential of defect states excited by visible light is appropriate to suppress the production of non-selective highly oxidative hydroxyl radicals. This work reveals the correlation between the defect energy-level distribution and the selective biomass oxidation behavior, offering a self-tuning approach for directional biomass conversion through catalyst design. The strategy is further validated across a range of biomass-derived substrates, highlighting its broad applicability in selective chemical synthesis using adaptive photocatalysis.

Publication Details

Journal
Advanced Science
Published
2026-03-24
DOI
https://doi.org/10.1002/advs.202523412
Primary Topic
Catalysis for Biomass Conversion
Type
article
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article

Tuned Oxidation Potential of Continuous Defective Photocatalyst for Selective Biomass Conversion

Advanced Science
Catalysis for Biomass Conversion
article

Tuned Oxidation Potential of Continuous Defective Photocatalyst for Selective Biomass Conversion

article en

Abstract

Photocatalytic biomass conversion offers an energy-efficient, low-carbon route for the sustainable production of fine chemicals. However, selectivity control of biomass valorization is challenging due to the presence of multiple functional groups and competing reaction pathways. Herein, we report a wavelength-controlled photocatalytic strategy with adaptive oxidative capability for regulating biomass conversion selectivity. Using black TiO<sub>2</sub> with continuous defect energy levels as a model photocatalyst, the wavelength-dependent excitation of defect states confers adaptive oxidative behavior, enabling selective conversion of xylose into high-value xylonic acid under visible light, avoiding over-oxidation into low-value C1 products under UV irradiation. The high selectivity is attributed to the tunable photooxidation capability of defect states, where the oxidation potential of defect states excited by visible light is appropriate to suppress the production of non-selective highly oxidative hydroxyl radicals. This work reveals the correlation between the defect energy-level distribution and the selective biomass oxidation behavior, offering a self-tuning approach for directional biomass conversion through catalyst design. The strategy is further validated across a range of biomass-derived substrates, highlighting its broad applicability in selective chemical synthesis using adaptive photocatalysis.

Advanced Science
Responsible consumption and production
Openalex Percentile: Top 11%
Catalysis for Biomass Conversion
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