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Cited by 290

The DOI matches its Crossref record; 155 of the 155 references it cites were found in a registry or an index.

Multifunctional nanoparticles: Analytical prospects

Open access
de Dios, Alejandro Simón, Díaz-García, Marta Elena·2010·Analytica Chimica Acta

Abstract

Multifunctional nanoparticles are among the most exciting nanomaterials with promising applications in analytical chemistry. These applications include (bio)sensing, (bio)assays, catalysis and separations. Although most of these applications are based on the magnetic, optical and electrochemical properties of multifunctional nanoparticles, other aspects such as the synergistic effect of the functional groups and the amplification effect associated with the nanoscale dimension have also been observed. Considering not only the nature of the raw material but also the shape, there is a huge variety of nanoparticles. In this review only magnetic, quantum dots, gold nanoparticles, carbon and inorganic nanotubes as well as silica, titania and gadolinium oxide nanoparticles are addressed. This review presents a narrative summary on the use of multifuncional nanoparticles for analytical applications, along with a discussion on some critical challenges existing in the field and possible solutions that have been or are being developed to overcome these challenges.

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Crossref · 10.1016/j.aca.2010.03.038

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Metadata

Authors
de Dios, A. S., & Díaz-García, M. E.
Venue
Analytica Chimica Acta
Publisher
Elsevier BV
Published
2010-05
Volume
666
Issue
1-2
Pages
1-22
ISSN
0003-2670 (ISSN-L)
OpenAlex
W2080852098
Cited by
290
References
155
FWCI
29.98
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Multifunctional nanoparticles: Analytical prospects. https://app.cochat.ai/papers/10.1016/j.aca.2010.03.038
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de Dios, A. S., & Díaz-García, M. E. (2010). Multifunctional nanoparticles: Analytical prospects. Analytica Chimica Acta. https://doi.org/10.1016/j.aca.2010.03.038

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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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