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Cited by 375

The DOI matches its Crossref record; 33 of the 33 references it cites were found in a registry or an index.

Dendrimers: Novel Polymeric Nanoarchitectures for Solubility Enhancement

Gupta, Umesh, Agashe, Hrushikesh Bharat, Asthana, Abhay, Jain, N. K.·2006·Biomacromolecules

Abstract

Poor solubility and hydrophobicity of drugs/bioactives limit their possible applications in drug delivery and formulation development. Apart from conventional methods of solubility enhancement, there are some novel methods which can be used in solubilization. Dendrimers represent a novel type of polymeric material that has generated much interest in many diverse areas due to their unique structure and properties. Dendrimer-mediated solubility enhancement mainly depends on factors such as generation size, dendrimer concentration, pH, core, temperature, and terminal functionality. Added advantage in solubilization can be achieved considering these factors. Available literature suggests that ionic interaction, hydrogen bonding, and hydrophobic interactions are the possible mechanisms by which a dendrimer exerts its solubilizing property. This review presents various mechanisms and reports relating to solubility enhancement using dendrimers. Also, micellar behavior and future possibilities in relation to solubilization via dendrimers are included.

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Metadata

Authors
Gupta, U., Agashe, H. B., Asthana, A., & Jain, N. K.
Venue
Biomacromolecules
Published
2006-02-15
Volume
7
Issue
3
Pages
649-658
ISSN
  • 1525-7797 (ISSN-L)
  • 1526-4602
OpenAlex
W2082904634
Cited by
375
References
33
FWCI
25.30
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Dendrimers: Novel Polymeric Nanoarchitectures for Solubility Enhancement. https://app.cochat.ai/papers/10.1021/bm050802s
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Gupta, U., Agashe, H. B., Asthana, A., & Jain, N. K. (2006). Dendrimers: Novel Polymeric Nanoarchitectures for Solubility Enhancement. Biomacromolecules. https://doi.org/10.1021/bm050802s

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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.