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Engineering of lipid-coated PLGA nanoparticles with a tunable payload of diagnostically active nanocrystals for medical imaging

descriptionPublicationkeyboard_double_arrow_right Article 01 Jan 2012 United States, United States, Netherlands English Publisher:Royal Society of Chemistry (RSC)Journal:Chemical Communications, volume 48, page 5,835 (issn: 1359-7345, eissn: 1364-548X,

Authors: Mieszawska, Aneta J.; Gianella, Anita; Cormode, David P.; Zhao, Yiming; Meijerink, Andries; Langer, Robert; Farokhzad, Omid C.; +2 Authors

doi: 10.1039/c2cc32149a

pmid: 22555311

pmc: PMC3593599

handle: 1721.1/79430

Engineering of lipid-coated PLGA nanoparticles with a tunable payload of diagnostically active nanocrystals for medical imaging

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Abstract

Polylactic-co-glycolic acid (PLGA) based nanoparticles are biocompatible and biodegradable and therefore have been extensively investigated as therapeutic carriers. Here, we engineered diagnostically active PLGA nanoparticles that incorporate high payloads of nanocrystals into their core for tunable bioimaging features. We accomplished this through esterification reactions of PLGA to generate polymers modified with nanocrystals. The PLGA nanoparticles formed from modified PLGA polymers that were functionalized with either gold nanocrystals or quantum dots exhibited favorable features for computed tomography and optical imaging, respectively.

Countries

United States, United States, Netherlands

Related Organizations

Utrecht University
Netherlands
Icahn School of Medicine at Mount Sinai
United States
Massachusetts Institute of Technology
United States
Harvard University
United States
Brigham and Women's Faulkner Hospital
United States

Keywords

Diagnostic Imaging, Fatty Acids, 500, Metal Nanoparticles, 620, Microscopy, Electron, Transmission, Quantum Dots, Gold, Sulfhydryl Compounds, Fatty Alcohols, Polyglycolic Acid

Impact byBIP!

	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	85
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Top 10%
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Top 10%
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Top 10%