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Cited by 1,025

The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.

pH-Responsive Nanoparticles for Drug Delivery

Open access
Gao, Weiwei, Chan, Juliana M., Farokhzad, Omid C.·2010·Molecular Pharmaceutics

Abstract

First-generation nanoparticles (NPs) have been clinically translated as pharmaceutical drug delivery carriers for their ability to improve on drug tolerability, circulation half-life, and efficacy. Toward the development of the next-generation NPs, researchers have designed novel multifunctional platforms for sustained release, molecular targeting, and environmental responsiveness. This review focuses on environmentally responsive mechanisms used in NP designs, and highlights the use of pH-responsive NPs in drug delivery. Different organs, tissues, and subcellular compartments, as well as their pathophysiological states, can be characterized by their pH levels and gradients. When exposed to these pH stimuli, pH-responsive NPs respond with physicochemical changes to their material structure and surface characteristics. These include swelling, dissociating or surface charge switching, in a manner that favors drug release at the target site over surrounding tissues. The novel developments described here may revise the classical outlook that NPs are passive delivery vehicles, in favor of responsive, sensing vehicles that use environmental cues to achieve maximal drug potency.

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Metadata

Authors
Gao, W., Chan, J. M., & Farokhzad, O. C.
Venue
Molecular Pharmaceutics
Published
2010-10-27
Volume
7
Issue
6
Pages
1913-1920
ISSN
  • 1543-8384 (ISSN-L)
  • 1543-8392
OpenAlex
W1997787046
Cited by
1,025
References
8
FWCI
15.99
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: pH-Responsive Nanoparticles for Drug Delivery. https://app.cochat.ai/papers/10.1021/mp100253e
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Gao, W., Chan, J. M., & Farokhzad, O. C. (2010). pH-Responsive Nanoparticles for Drug Delivery. Molecular Pharmaceutics. https://doi.org/10.1021/mp100253e

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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.