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Updated references in papers.bib
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Expand Up @@ -69,42 +69,45 @@ @ARTICLE{Woodward2021-ka
}

@ARTICLE{Attia2023-bc,
title = "Orthogonal Gelations to Synthesize Core-Shell Hydrogels Loaded
with Nanoemulsion-Templated Drug Nanoparticles for Versatile Oral
Drug Delivery",
author = "Attia, Lucas and Chen, Liang-Hsun and Doyle, Patrick S",
journal = "Adv. Healthc. Mater.",
pages = "e2301667",
abstract = "Hydrophobic active pharmaceutical ingredients are ubiquitous in
the drug development pipeline, but their poor bioavailability
often prevents their translation into drug products. Industrial
processes to formulate hydrophobic APIs are expensive, difficult
to optimize, and not flexible enough to incorporate customizable
drug release profiles into drug products. Here, a novel,
dual-responsive gelation process that exploits orthogonal
thermo-responsive and ion-responsive gelations is introduced. This
one-step ``dual gelation'' synthesizes core-shell
(methylcellulose-alginate) hydrogel particles and encapsulates
drug-laden nanoemulsions in the hydrogel matrices. In situ
crystallization templates drug nanocrystals inside the polymeric
core, while a kinetically stable amorphous solid dispersion is
templated in the shell. Drug release is explored as a function of
particle geometry, and programmable release is demonstrated for
various therapeutic applications including delayed pulsatile
release and sequential release of a model fixed-dose combination
drug product of ibuprofen and fenofibrate. Independent control
over drug loading between the shell and the core is demonstrated.
This formulation approach is shown to be a flexible process to
develop drug products with biocompatible materials, facile
synthesis, and precise drug release performance. This work
suggests and applies a novel method to leverage orthogonal gel
chemistries to generate functional core-shell hydrogel particles.
This article is protected by copyright. All rights reserved.",
month = jul,
year = 2023,
keywords = "drug delivery; hydrogels; nanocrystals; nanoemulsions;
stimuli-responsive materials",
language = "en"
title = "Orthogonal gelations to synthesize core-shell hydrogels loaded
with nanoemulsion-templated drug nanoparticles for versatile oral
drug delivery",
author = "Attia, Lucas and Chen, Liang-Hsun and Doyle, Patrick S",
journal = "Adv. Healthc. Mater.",
publisher = "Wiley",
volume = 12,
number = 31,
pages = "e2301667",
abstract = "Hydrophobic active pharmaceutical ingredients (APIs) are
ubiquitous in the drug development pipeline, but their poor
bioavailability often prevents their translation into drug
products. Industrial processes to formulate hydrophobic APIs are
expensive, difficult to optimize, and not flexible enough to
incorporate customizable drug release profiles into drug
products. Here, a novel, dual-responsive gelation process that
exploits orthogonal thermo-responsive and ion-responsive
gelations is introduced. This one-step ``dual gelation''
synthesizes core-shell (methylcellulose-alginate) hydrogel
particles and encapsulates drug-laden nanoemulsions in the
hydrogel matrices. In situ crystallization templates drug
nanocrystals inside the polymeric core, while a kinetically
stable amorphous solid dispersion is templated in the shell. Drug
release is explored as a function of particle geometry, and
programmable release is demonstrated for various therapeutic
applications including delayed pulsatile release and sequential
release of a model fixed-dose combination drug product of
ibuprofen and fenofibrate. Independent control over drug loading
between the shell and the core is demonstrated. This formulation
approach is shown to be a flexible process to develop drug
products with biocompatible materials, facile synthesis, and
precise drug release performance. This work suggests and applies
a novel method to leverage orthogonal gel chemistries to generate
functional core-shell hydrogel particles.",
month = dec,
year = 2023,
keywords = "drug delivery; hydrogels; nanocrystals; nanoemulsions;
stimuli-responsive materials",
language = "en"
}

@ARTICLE{Jarai2020-tn,
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