# Discipline: A - Track: Three

> **NIH FDA U19** · WISCONSIN DEPT/AGRI/TRADE/CONSUM/ PROT · 2020 · $65,000

## Abstract

Project Summary 
DA/T3 
Animal Food Product Testing 
The purpose of this analytical track is to improve food testing surveillance programs through the 
microbiological analysis of food products. The test results generated by these laboratories can be used 
to remove adulterated food from commerce and aide regulatory inspection programs in conducting 
investigations. 
WI BLS is proposing to test raw pet foods both produced and sold in the state of Wisconsin. The raw pet 
food industry has been growing significantly over the past decade, and our programmatic Division, the 
Division of Agrichemical Management (DARM), has been discussing the idea of testing these products for 
some time. However, due to cost constraints, this project has not been moved forward, and was unlikely 
to be any time soon. 
Since DARM has no information on these products, they would like to test at least 100 samples each year 
for the next 5 years, for E. coli STEC, Salmonella, and Listeria. Based on the data provided over the next 
5 years DARM may develop a monitor program for this commodity. 
This project will not only provide DARM with information it can use to develop a monitoring program, it 
also helps protect the people of the state of Wisconsin. Further, it provides the FDA with the data it is in 
search of to help develop and strengthen the food supply for animal, and prevent foodborne illnesses in 
humans.

## Key facts

- **NIH application ID:** 10175973
- **Project number:** 1U19FD007105-01
- **Recipient organization:** WISCONSIN DEPT/AGRI/TRADE/CONSUM/ PROT
- **Principal Investigator:** Gil Kelley
- **Activity code:** U19 (R01, R21, SBIR, etc.)
- **Funding institute:** FDA
- **Fiscal year:** 2020
- **Award amount:** $65,000
- **Award type:** 1
- **Project period:** 2021-09-01 → 2025-06-30

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10175973

## Citation

> US National Institutes of Health, RePORTER application 10175973, Discipline: A - Track: Three (1U19FD007105-01). Retrieved via AI Analytics 2026-05-29 from https://api.ai-analytics.org/grant/nih/10175973. Licensed CC0.

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