On-demand electrochemically controlled compound release from an ultrasonically powered implant.


Journal

RSC advances
ISSN: 2046-2069
Titre abrégé: RSC Adv
Pays: England
ID NLM: 101581657

Informations de publication

Date de publication:
16 Aug 2022
Historique:
received: 01 06 2022
accepted: 09 08 2022
entrez: 12 9 2022
pubmed: 13 9 2022
medline: 13 9 2022
Statut: epublish

Résumé

On-demand drug delivery systems are promising for a wide range of therapeutic applications. When combined with wireless implants for controlled drug delivery, they can reduce overall dosage and side effects. Here, we demonstrate release of fluorescein from a novel on-demand release system for negatively charged compounds. The release system is based on a modified electroresponsive polypyrrole nanoparticulate film designed to minimize ion exchange with the stored compound - a major passive leakage mechanism. We further designed an ultrasonically powered mm-sized implant to electronically control the on-demand drug delivery system

Identifiants

pubmed: 36090393
doi: 10.1039/d2ra03422k
pii: d2ra03422k
pmc: PMC9382542
doi:

Types de publication

Journal Article

Langues

eng

Pagination

23337-23345

Informations de copyright

This journal is © The Royal Society of Chemistry.

Déclaration de conflit d'intérêts

There are no conflicts of interest to declare.

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Auteurs

Max L Wang (ML)

Department of Electrical Engineering, Stanford University Stanford CA USA arbabian@stanford.edu.

Christian F Chamberlayne (CF)

Department of Chemistry, Stanford University Stanford CA USA.

Haixia Xu (H)

Department of Medicine, Division of Endocrinology, Stanford University Stanford CA USA.

Mohammad Mofidfar (M)

Department of Chemistry, Stanford University Stanford CA USA.

Spyridon Baltsavias (S)

Department of Electrical Engineering, Stanford University Stanford CA USA arbabian@stanford.edu.

Justin P Annes (JP)

Department of Medicine, Division of Endocrinology, Stanford University Stanford CA USA.

Richard N Zare (RN)

Department of Chemistry, Stanford University Stanford CA USA.

Amin Arbabian (A)

Department of Electrical Engineering, Stanford University Stanford CA USA arbabian@stanford.edu.

Classifications MeSH