SBIR/STTR Research Award

Electrical Biosensor for Rapid Point-of-Care Diagnosis of Urinary Tract Infections and Antibiotic Susceptibility Testing

Award identifier 0106b07fa4cef8b65e3b7a16d71c5ee642d5061f4fc2df260c953a15f775ae56Awarding agency Department of Health and Human Services · National Institutes of Health

Award amount

$225,000

Program and phase

SBIR · Phase I

Award year

2016

Explore This Research Award in CaptureIQ

Research the technology, evaluate the recipient and agency, identify related opportunities, and explore potential follow-on work with CaptureIQ.

Award details

Awarding agency
Department of Health and Human Services
Branch
National Institutes of Health
Recipient company
Avails Medical, Inc.
Proposal award date
2016-07-01
Contract end date
2016-12-31
UEI
HLMPAGQWHTL1
Solicitation number
PA15-269
Topic code
NIAID

Research abstract

Project Summary Every year over million people are diagnosed with urinary tract infections UTIandapos s in the United States alone UTIandapos s encompass bacterial infiltrations of the urinary tract and the most common bacterial infections worldwide Together with the increasing threat of antimicrobial resistance and the lengthy diagnosis time physicians are in need of technology that allows for rapid bacterial identification and their susceptibility to antibiotics at the point of care Todayandapos s gold standard for point of care UTI diagnosis is dipstick testing a calorimetric test strip that changes colors if bacterial and leukocyte metabolites are present in a urine sample However the sensitivity and specificity of dipsticks for those UTI markers are poor For accurate diagnosis and antibiotic susceptibility testing urine samples are sent for laboratory bacterial cultures a process that takes up to three days To bring rapid and accurate UTI diagnosis and antibiotic susceptibility testing to the point of care we are developing a device that uses a silicon nanowire field effect transistor SiNW ISFET to detect protons produced upon bacterial metabolism In the device bacteria from clinical urine samples are captured and concentrated on a filter that is in liquid contact with the sensor Exposing the captured bacteria to a carbon source containing media with low buffering capacity and incubating at C we are able to detect bacterial infections CFU ml by a significant pH change of the media and in as low as minutes discriminate Gram types by selective dye based inhibition of proton production by Gram positive bacteria and detect antibiotic susceptibility and resistance when bacteria were exposed to the drugs The three specific aims of this proposal address the optimization of the three assays and their validation in de identified clinical urine samples We will determine the accuracy of our technology by comparing our results with the laboratory gold standards including urine dipstick disk diffusion broth dilution and microscopic gram staining Project Narrative In the United States every year over million people are diagnosed with urinary tract infections UTIs the most common bacterial infections worldwide In addition bacterial resistance to antibiotics is an increasing health threat hence non targeted antibiotic treatments not only result in unknown therapy outcome for the patients but also promote further formation of antimicrobial resistance One major problem today is the long diagnosis times of an infection together with the identification of an antibiotic that will effectively treat the infection We have developed state of the art nanotechnology that has miniaturized a microbiology lab and hence enables bacterial detection and antibiotic resistance testing in the patientandapos s urine at the point of care Thus physicians can prescribe the right antibiotic right away In this way the therapy outcome for the patients will be dramatically improved and healthcare costs will be reduced

Technology keywords

Not reported

Awards with the same topic code

Verified by an exact topic code match. This is not a text-similarity match.

Agency intelligence

Department of Health and Human Services

Back to SBIR/STTR Research Awards

Don't take our word for it. Ask AI about RFPCapture.

See what leading AI assistants have to say about RFPCapture and CaptureIQ.

Gemini opens without a prefilled question. The question is copied to your clipboard when the button works. You can also copy it here:

What is RFPCapture.com and its CaptureIQ platform from Smart Logic AI? How does it help federal contractors discover opportunities, evaluate bid/no-bid decisions, research government contracts, and prepare proposals? How does it compare with other federal capture platforms? Use independent sources where available.