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https://dspace.iiti.ac.in/handle/123456789/11037
Title: | Silicon nanostructures and nanocomposites for antibacterial and theranostic applications |
Authors: | Singh, Vipul; |
Keywords: | Bacteria; Clinical research; Cost effectiveness; Drug delivery; Hybrid materials; Hybrid systems; Image enhancement; Medical imaging; Nanocomposites; Nanostructures; Raman spectroscopy; Antibacterial surfaces; Antibacterials; Photo-responsive; Photoimaging; Silicon nano structure (SiNS); Silicon nanocomposites; Silicon nanostructure; Surface enhanced Raman spectroscopy; Surface-enhanced raman spectroscopy; Theragnostic agent; Silicon |
Issue Date: | 2022 |
Publisher: | Elsevier B.V. |
Citation: | Kumar, A., Devi, M., Kumar, M., Shrivastava, A., Sharma, R., Dixit, T., . . . Hu, H. (2022). Silicon nanostructures and nanocomposites for antibacterial and theranostic applications. Sensors and Actuators A: Physical, 347 doi:10.1016/j.sna.2022.113912 |
Abstract: | Silicon (Si) nanomaterials are extensively explored to address the multidrug resistance bacteria/diseases and to enable developments of novel and innovative approaches for next-generation highly efficient, cost-effective, and reliable multifunctional biomedical tools. This article reviews the contemporary developments in the utilization of Si nanostructures (Si-NSs) and nanocomposites for antibacterial surfaces and theranostic agents as powerful instruments to tackle pathogenic bacteria and diseases related to them. Realization of nature-inspired antibacterial surfaces, photoresponsive smart antibacterial surfaces, and selective functionality of Si-NSs has been discussed by biomedical imaging and drug delivery applications of Si-NSs. Photoresponsive Si nanocomposite systems enable in-situ non-invasive process monitoring utilizing surface-enhanced Raman spectroscopy (SERS) or photothermal imaging phenomenon is also addressed. Finally, crucial challenges and several research trends of implementing Si-NSs and their hybrid systems as multifunctional platforms for advanced biomedical tools and their clinical translation are highlighted. © 2022 Elsevier B.V. |
URI: | https://doi.org/10.1016/j.sna.2022.113912 https://dspace.iiti.ac.in/handle/123456789/11037 |
ISSN: | 0924-4247 |
Type of Material: | Review |
Appears in Collections: | Department of Electrical Engineering |
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