The DOI matches its Crossref record; 202 of the 202 references it cites were found in a registry or an index.
Silver Nanoparticles: Synthesis, Structure, Properties and Applications
Open accessAbstract
Silver nanoparticles (Ag NPs) have accumulated significant interest due to their exceptional physicochemical properties and remarkable applications in biomedicine, electronics, and catalysis sensing. This comprehensive review provides an in-depth study of synthetic approaches such as biological synthesis, chemical synthesis, and physical synthesis with a detailed overview of their sub-methodologies, highlighting advantages and disadvantages. Additionally, structural properties affected by synthesis methods are discussed in detail by examining the dimensions and surface morphology. The review explores the distinctive properties of Ag NPs, including optical, electrical, catalytic, and antimicrobial properties, which render them beneficial for a range of applications. Furthermore, this review describes the diverse applications in several fields, such as medicine, environmental science, electronics, and optoelectronics. However, with numerous applications, several kinds of issues still exist. Future attempts need to address difficulties regarding synthetic techniques, environmental friendliness, and affordability. In order to ensure the secure utilization of Ag NPs, it is necessary to establish sustainability in synthetic techniques and eco-friendly production methods. This review aims to give a comprehensive overview of the synthesis, structural analysis, properties, and multifaceted applications of Ag NPs.
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Cites
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Cited by
Makhado, E., & Seleka, W. M. (2025) · Scientific Reports · doi:10.1038/s41598-025-13976-3 · Cited by 20
Metadata
- Authors
- Abbas, R., Luo, J., Qi, X., Naz, A., Khan, I. A., Liu, H., Yu, S., & Wei, J.
- Venue
- Nanomaterials
- Publisher
- MDPI AG
- Published
- 2024-08-31
- Volume
- 14
- Issue
- 17
- Pages
- 1425
- ISSN
- 2079-4991 (ISSN-L)
- OpenAlex
- W4402135563
- Cited by
- 284
- References
- 202
- FWCI
- 26.87
- Type
- journal article
- Language
- en
- Open access
- gold
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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.