Journal
ADVANCED FUNCTIONAL MATERIALS
Volume 32, Issue 32, Pages -Publisher
WILEY-V C H VERLAG GMBH
DOI: 10.1002/adfm.202201799
Keywords
charge transfer; gastric cancer; perovskite; surface-enhanced Raman spectroscopy; VOCs
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Funding
- National Key Research and Development Program of China for International Science & Innovation Cooperation Major Project between Governments [2018YFE0113200]
- National Science Foundation of China [21722502]
- Shanghai Science and Technology Committee (STCSM) [18490740500]
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This study proposes a perovskite-based strategy to enhance vibronic coupling in semiconducting surface-enhanced Raman spectroscopy (SERS) through steady-state assisted band structure matching. The system achieves remarkable Raman enhancement and high photostability, making it a promising tool for trace molecular detection, particularly in gastric cancer diagnosis.
Improving charge transfer efficiency via vibronic coupling is vital to the performance of semiconducting surface-enhanced Raman spectroscopy (SERS). Previous attempts have focused on defects-based metastable-state assisted band structure matching strategy to enhance vibronic coupling. However, defect-related charge transfer transitions can be easily deteriorated due to enhanced phonon-assisted relaxation upon continuous laser irradiation. Herein, perovskite-based steady-state assisted band structure matching strategy is proposed to enhance vibronic coupling within perovskite-molecule charge transfer complex, leading to remarkable Raman enhancement up to 5.9 x 10(6). Particularly, vibronic coupling can be modulated by tuning valence band position and introducing ultrathin Au coating, which allows selective enhancement of molecules with different band structures, including narrow-bandgap molecules and wide-bandgap molecules. Importantly, based on intrinsically stable conduction band and valence band states, this system achieves ultrahigh photostability, preserving 91.3% of the original intensity after 50 000 s of irradiation. This system also provides an outstanding tool for trace molecular detection, allowing sensitive and selective identification of 9 types of gastric cancer related aldehydes, which enables distinguishing the breath of gastric cancer patients from healthy controls with a discriminatory accuracy of 81.09%. This study is anticipated to shed new light into the future strategy design of efficient and stable semiconducting SERS.
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