Document Detail


Compact, power-efficient architectures using microvalves and microsensors, for intrathecal, insulin, and other drug delivery systems.
MedLine Citation:
PMID:  22580183     Owner:  NLM     Status:  Publisher    
Abstract/OtherAbstract:
This paper describes a valve-regulated architecture for intrathecal, insulin and other drug delivery systems that offers high performance and volume efficiency through the use of micromachined components. Multi-drug protocols can be accommodated by using a valve manifold to modulate and mix drug flows from individual reservoirs. A piezoelectrically-actuated silicon microvalve with embedded pressure sensors is used to regulate dosing by throttling flow from a mechanically-pressurized reservoir. A preliminary prototype system is demonstrated with two reservoirs, pressure sensors, and a control circuit board within a 130cm(3) metal casing. Different control modes of the programmable system have been evaluated to mimic clinical applications. Bolus and continuous flow deliveries have been demonstrated. A wide range of delivery rates can be achieved by adjusting the parameters of the manifold valves or reservoir springs. The capability to compensate for changes in delivery pressure has been experimentally verified. The pressure profiles can also be used to detect catheter occlusions and disconnects. The benefits of this architecture compared with alternative options are reviewed.
Authors:
Tao Li; Allan T Evans; Srinivas Chiravuri; Roma Y Gianchandani; Yogesh B Gianchandani
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Publication Detail:
Type:  JOURNAL ARTICLE     Date:  2012-5-8
Journal Detail:
Title:  Advanced drug delivery reviews     Volume:  -     ISSN:  1872-8294     ISO Abbreviation:  -     Publication Date:  2012 May 
Date Detail:
Created Date:  2012-5-14     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  8710523     Medline TA:  Adv Drug Deliv Rev     Country:  -    
Other Details:
Languages:  ENG     Pagination:  -     Citation Subset:  -    
Copyright Information:
Copyright © 2012. Published by Elsevier B.V.
Affiliation:
Department of Electrical Engineering and Computer Science, University of Michigan, 1301 Beal Ave., Ann Arbor, MI, 48109-2122, USA.
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