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Nicholas A. Peppas

Researcher at University of Texas at Austin

Publications -  840
Citations -  101193

Nicholas A. Peppas is an academic researcher from University of Texas at Austin. The author has contributed to research in topics: Self-healing hydrogels & Polymer. The author has an hindex of 141, co-authored 825 publications receiving 90533 citations. Previous affiliations of Nicholas A. Peppas include National Technical University & University of Texas System.

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Crystal dissolution-controlled release systems. II. Metronidazole release from semicrystalline poly(vinyl alcohol) systems

TL;DR: The drug release rate was found to be dependent on the crystallization conditions of the samples and the influence of parameters such as polymer molecular weight, annealing time and temperature, and surface pretreatment on the crystal dissolution, and hence the drug release rates were investigated.
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Historical perspective on advanced drug delivery: how engineering design and mathematical modeling helped the field mature.

TL;DR: Emphasis is given on the advances of biomaterials as drug delivery agents and on the use of design equations and mathematical modeling to achieve a wide range of successful systems.
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Bioadhesive analysis of controlled-release systems. III. Bioadhesive and release behavior of metronidazole-containing poly(acrylic acid)-hydroxypropyl methylcellulose systems

TL;DR: In this article, the bioadhesive strength of the bond formed between surface-preswollen systems and the sublingual bovine mucus was determined by novel tensile experiments and it was found to be dependent on the poly( acrylic acid) content.
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Transport of penetrants in the macromolecular structure of coals

TL;DR: In this article, a semi-empirical model for coal diffusion and case-II transport in thin coal slabs, spheres, and cylinders is presented, which can be used to define anomalous transport behavior in the macromolecular network structure of coal.
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The future of open- and closed-loop insulin delivery systems.

TL;DR: Recommendations for future directions in creating a true closed‐loop glucose control system are presented, including the development of multivariable models and control systems to more accurately describe and control the multi‐metabolite, multi‐hormonal system.