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Real-time Assessment of Antimicrobial Concentrations for Personalized Treatment of Infectious Diseases

Award Information
Agency: Department of Defense
Branch: Defense Advanced Research Projects Agency
Contract: D17PC00009
Agency Tracking Number: D162-001-0067
Amount: $149,987.00
Phase: Phase I
Program: SBIR
Solicitation Topic Code: SB162-001
Solicitation Number: 2016.2
Solicitation Year: 2016
Award Year: 2017
Award Start Date (Proposal Award Date): 2016-11-30
Award End Date (Contract End Date): 2017-11-30
Small Business Information
737 Concord Avenue, Cambridge, MA, 02138
DUNS: 557201394
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Dr. Xinhua Li
 VP Chemistry
 (617) 621-8500
Business Contact
 Kateri Paul
Phone: (617) 621-8500
Research Institution
There is an urgent need to optimize antimicrobial dosing in order to address the prevalence of drug-resistant pathogens and the increase of minimum inhibitory concentrations (MICs) of antimicrobials. Antimicrobials typically have a narrow window of effective concentration or therapeutic indices. If the drug is dosed above this concentration window it becomes toxic. Conversely, if under-dosed, treatment is ineffective and drug resistance can arise. Each patients metabolic profile is unique and thus accurate dosing is difficult to achieve without monitoring. Current monitoring practices rely on laboratory-scale equipment such as high-performance liquid chromatography (HPLC) to quantify drug concentrations in clinical labs and hospitals. We propose to develop a portable device that is capable of performing real-time therapeutic monitoring at the point of care. The device will be similar to commercially available glucose meter containing a disposable testing strip and a small electrochemical detector with data processing functions. Aptamers will be used as recognition elements in the testing strip. A handheld potentiostat will be used for electrochemical analysis. The proposed device will allow clinicians to measure drug concentrations in near real-time, significantly improving treatment outcome and reducing the risk of administering suboptimal doses of antimicrobials.

* Information listed above is at the time of submission. *

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