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September 16, 202516 citations

Constructing 0D Bismuth-Metal Nanosphere Networks on 1D/2D Bi

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YCYuehui ChenSCShuo ChenCZChenyi Zhang

Key Points

  • The bismuth-BWO photocatalyst can degrade 100% of acetaldehyde within five cycles, showcasing its effectiveness.
  • With a degradation rate 3.5 times faster than traditional BWO, this novel catalyst offers significant improvements in efficiency.
  • Using a selective reduction strategy, bismuth nanoparticles are generated on 1D/2D Bi2WO6 structures, enhancing photocatalytic performance.
  • This approach highlights the importance of structure in boosting active site availability and carrier separation for VOC removal.

Abstract

Semiconductor photocatalysis holds great potential for the degradation of volatile organic compounds (VOCs), yet photocatalysts often experience low efficiency due to insufficient surface catalytic active sites, limited light absorption, and poor carrier separation efficiency. Inspired by the structure of Eucalyptus trees, a selective reduction strategy is proposed to grow bismuth nanosphere networks on 1D/2D Bi2WO6 (BWO) heteromorphic junctions, which consist of interwoven mesoporous nanofibers (NFs) and nanosheets (NSs). This establishes a synergistic mechanism of "surface active sites-intrinsic defects-carrier separation." Initially, the electrospun BWO precursor NFs are calcined in air, resulting in 2D NSs growing radially along the NFs in an ordered, spaced arrangement to form 1D/2D BWO structures. Subsequently, under H2/Ar reduction, Bi3+ species are preferentially reduced to Bi⁰ along the NF axes and NS corners, forming a dynamically evolved metal-defect regulatory system. The 0D/1D/2D Bi-BWO photocatalyst can rapidly degrade 100% of acetaldehyde and exhibits superior stability over five cycles. Its degradation rate is 3.5 times faster than that of 1D/2D BWO and significantly surpasses traditional BWO. This work presents a novel perspective for designing photocatalysts to efficiently remove VOCs.

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Cite This Study

Chen et al. (2025) studied this question.

synapsesocial.com/papers/68c93fe601120bef803baf74https://doi.org/10.1002/adma.202513684
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