The DOI matches its Crossref record; 62 of the 62 references it cites were found in a registry or an index.
Nanomaterials for targeted detection and photothermal killing of bacteria
Abstract
Despite the modern treatment processes, contamination of food, water and medical equipment by pathogenic bacteria is very common in this world. Since the last two decades, one of the most important and complex problems our society has been facing is that several human pathogens became resistant to most of the clinically approved antibiotics. Recent advancement in nanoscience and nanotechnology has expanded our ability to design and construct nanomaterials with targeting, therapeutic, and diagnostic functions. These multifunctional materials have attracted our attention to be used as the promising tool for selective bacteria sensing and therapy without the current drugs. This tutorial review provides the basic concepts and critical properties of the different nanostructures that are useful for the pathogen detection and photothermal applications. In addition, bio-conjugated nanomaterial based strategies have been discussed with the aim to provide readers an overview of exciting opportunities and challenges in this field.
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Cites
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Cited by
Second near-infrared photothermal materials for combinational nanotheranostics
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Photoacoustic Imaging-Trackable Magnetic Microswimmers for Pathogenic Bacterial Infection Treatment
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Laser-induced vapour nanobubbles improve drug diffusion and efficiency in bacterial biofilms
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Magnetic Nanoparticle Targeted Hyperthermia of Cutaneous Staphylococcus aureus Infection
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AIEgens for microbial detection and antimicrobial therapy
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Metadata
- Authors
- Ray, P. C., Khan, S. A., Singh, A. K., Senapati, D., & Fan, Z.
- Venue
- Chemical Society Reviews
- Publisher
- Royal Society of Chemistry (RSC)
- Published
- 2012
- Volume
- 41
- Issue
- 8
- Pages
- 3193
- ISSN
- 0306-0012 (ISSN-L)
- 1460-4744
- OpenAlex
- W2011315553
- Cited by
- 485
- References
- 62
- FWCI
- 2.44
- Type
- journal article
- Language
- en
- Open access
- closed
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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.