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Cited by 166

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Photoluminescence‐Based Sensing With Porous Silicon Films, Microparticles, and Nanoparticles

Sailor, Michael J., Wu, Elizabeth C.·2009·Advanced Functional Materials

Abstract

Here, chemical sensors made from porous Si are reviewed, with an emphasis on systems that harness photoluminescence and related energy‐ and charge‐transfer mechanisms available to porous Si‐derived nanocrystallites. Quenching of luminescence by molecular adsorbates involves the harvesting of energy from a delocalized nanostructure that can be much larger than the molecule being sensed, providing a means to amplify the sensory event. The interaction of chemical species on the surface of porous Si can exert a pronounced influence on this process, and examples of some of the key chemical reactions that modify either the surface or the bulk properties of porous Si are presented. Sensors based on micron‐scale and smaller porous Si particles are also discussed. Miniaturization to this size regime enables new applications, including imaging of cancerous tissues, indirect detection of reactive oxygen species (ROS), and controlled drug release. Examples of environmental and in vivo sensing systems enabled by porous Si are provided.

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Crossref · 10.1002/adfm.200900535

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Metadata

Authors
Sailor, M. J., & Wu, E. C.
Venue
Advanced Functional Materials
Publisher
Wiley
Published
2009-10-22
Volume
19
Issue
20
Pages
3195-3208
ISSN
  • 1616-301X (ISSN-L)
  • 1616-3028
OpenAlex
W2047249233
Cited by
166
References
1
FWCI
5.74
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Photoluminescence‐Based Sensing With Porous Silicon Films, Microparticles, and Nanoparticles. https://app.cochat.ai/papers/10.1002/adfm.200900535
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Sailor, M. J., & Wu, E. C. (2009). Photoluminescence‐Based Sensing With Porous Silicon Films, Microparticles, and Nanoparticles. Advanced Functional Materials. https://doi.org/10.1002/adfm.200900535

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.