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Lateral Heterostructured Vis–NIR Photodetectors with Multimodal Detection for Rapid and Precise Classification of Glioma
- Source :
- ACS Nano; October 2022, Vol. 16 Issue: 10 p16563-16573, 11p
- Publication Year :
- 2022
-
Abstract
- Precise diagnosis of the boundary and grade of tumors is especially important for surgical dissection. Recently, visible and near-infrared (Vis–NIR) absorption differences of tumors are demonstrated for a precise tumor diagnosis. Here, a template-assisted sequential printing strategy is investigated to construct lateral heterostructured Vis–NIR photodetectors, relying on the up-conversion nanoparticles (UCNPs)/perovskite arrays. Under the sequential printing process, the synergistic effect and co-confinement are demonstrated to induce the UCNPs to cover both sides of the perovskite microwire. The side-wrapped lateral heterogeneous UCNPs/perovskite structure exhibits more satisfactory responsiveness to Vis–NIR light than the common fully wrapped structure, due to sufficient visible-light-harvesting ability. The Vis–NIR photodetectors with Rreaching 150 mA W–1at 980 nm and 1084 A W–1at 450 nm are employed for the rapid classification of glioma. The detection accuracy rate of 99.3% is achieved through a multimodal analysis covering the Vis–NIR light, which provides a reliable basis for glioma grade diagnosis. This work provides a concrete example for the application of photodetectors in tumor detection and surgical diagnosis.
Details
- Language :
- English
- ISSN :
- 19360851 and 1936086X
- Volume :
- 16
- Issue :
- 10
- Database :
- Supplemental Index
- Journal :
- ACS Nano
- Publication Type :
- Periodical
- Accession number :
- ejs60960625
- Full Text :
- https://doi.org/10.1021/acsnano.2c06004