# Discipline A: Microbiology Analytical Track 2 Human Food Testing

> **NIH FDA U19** · INDIANA STATE DEPARTMENT OF HEALTH · 2020 · $215,031

## Abstract

Microbiology Track 2 – Human Food Testing 
Project Summary/Abstract: 
Indiana State Department of Health (ISDH) Food Microbiology Lab is the primary laboratory for 
regulatory human food testing for the State of Indiana. We are an ISO 17025:2005 accredited lab 
analyzing a variety of human food types to detect the three main foodborne illness causing bacteria— 
Salmonella spp., Listeria spp., and shiga toxin-producing E. coli O157:H7 and non-O157. 
Microbiological testing covered under this track includes 200 bags of lettuce for shiga toxin-producing E. 
coli O157:H7 and non-O157, approximately 25 ice cream containers for Salmonella spp. and Listeria 
spp., and approximately 25 cheeses for Salmonella spp. and Listeria spp. Testing performed will follow 
FDA BAM and AOAC methodology. We plan to work with FDA to generate analysis records that meet 
quality and documentation requirements to allow for FDA acceptance of these results. ISDH Labs will 
also meet the quality management system requirements to maintain accreditation throughout the grant 
project period. ISDH Food Microbiology Lab will continue participating in FERN activities, grant 
required meetings, and reporting food results to the FDA via ORAPP and/or NFSDX.

## Key facts

- **NIH application ID:** 10175825
- **Project number:** 1U19FD007109-01
- **Recipient organization:** INDIANA STATE DEPARTMENT OF HEALTH
- **Principal Investigator:** Ryan Gentry
- **Activity code:** U19 (R01, R21, SBIR, etc.)
- **Funding institute:** FDA
- **Fiscal year:** 2020
- **Award amount:** $215,031
- **Award type:** 1
- **Project period:** 2020-09-01 → 2025-06-30

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10175825

## Citation

> US National Institutes of Health, RePORTER application 10175825, Discipline A: Microbiology Analytical Track 2 Human Food Testing (1U19FD007109-01). Retrieved via AI Analytics 2026-05-24 from https://api.ai-analytics.org/grant/nih/10175825. Licensed CC0.

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