The DOI matches its Crossref record; 78 of the 78 references it cites were found in a registry or an index.
Semiconductor Quantum Dots in Chemical Sensors and Biosensors
Open accessAbstract
Quantum dots are nanometre-scale semiconductor crystals with unique optical properties that are advantageous for the development of novel chemical sensors and biosensors. The surface chemistry of luminescent quantum dots has encouraged the development of multiple probes based on linked recognition molecules such as peptides, nucleic acids or small-molecule ligands. This review overviews the design of sensitive and selective nanoprobes, ranging from the type of target molecules to the optical transduction scheme. Representative examples of quantum dot-based optical sensors from this fast-moving field have been selected and are discussed towards the most promising directions for future research.
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Quantum Dot Bioconjugates for Ultrasensitive Nonisotopic Detection
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Cited by
Biological and chemical sensors based on graphene materials
Liu, Y., Dong, X., & Chen, P. (2012) · Chem. Soc. Rev. · doi:10.1039/c1cs15270j · Cited by 1,748
Advancements in nanomaterials for nanosensors: a comprehensive review
Darwish, M. A., Abd-Elaziem, W., Elsheikh, A., & Zayed, A. A. (2024) · Nanoscale Advances · doi:10.1039/d4na00214h · Cited by 334
Fluorescent nanoparticles for intracellular sensing: A review
Ruedas-Rama, M. J., Walters, J. D., Orte, A., & Hall, E. A. H. (2012) · Analytica Chimica Acta · doi:10.1016/j.aca.2012.09.025 · Cited by 321
Fluorescent Sensors for the Detection of Heavy Metal Ions in Aqueous Media
De Acha, N., Elosúa, C., Corres, J., & Arregui, F. (2019) · Sensors · doi:10.3390/s19030599 · Cited by 294
Nanoparticle-based optical sensor arrays
Bigdeli, A., Ghasemi, F., Golmohammadi, H., Abbasi-Moayed, S., Nejad, M. A. F., Fahimi-Kashani, N., Jafarinejad, S., Shahrajabian, M., & Hormozi-Nezhad, M. R. (2017) · Nanoscale · doi:10.1039/c7nr03311g · Cited by 265
Metadata
- Authors
- Frasco, M. F., & Chaniotakis, N.
- Venue
- Sensors
- Publisher
- MDPI AG
- Published
- 2009-09-10
- Volume
- 9
- Issue
- 9
- Pages
- 7266-7286
- ISSN
- 1424-8220 (ISSN-L)
- OpenAlex
- W2149188404
- Cited by
- 481
- References
- 78
- FWCI
- 12.28
- 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).
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