# Chemistry Discipline B Track 3 Animal Food Testing

> **NIH FDA U19** · MICHIGAN STATE DEPT OF AGRICULTURE · 2020 · $225,000

## Abstract

Project Summary: 
The Michigan Department of Agriculture and Rural Development (MDARD) Food, Fuel, and Disease 
section intends to use this funding opportunity to improve the section's animal food testing surveillance 
programs, building a more robust and efficient program. The section intends to continue resting 
commodities for its current spectrum of testing: mycotoxins; Aflatoxin B1, Aflatoxin B2, Aflatoxin G1, 
Aflatoxin G2, Deoxynivalenol, Fumonisin B1, Fumonisin B2, Fumonisin B3, Ochratoxin A, and Zearalenone, 
veterinary drugs; Amprolium, Carbadox, Chlortetracycline, Decoquinate, Lasalocid, Monensin, 
Oxytetracycline, Ractopamine, Sulfamethazine, Sulfadimethozine, Sulfaquinozaline, Tilmicosin, and 
Tylosin, nutrient and heavy metals; Aluminum, Antimony, Arsenic, Barium, Boron, Cadmium, Calcium, 
Chromium, Cobalt, Copper, Lead, Magnesium, Manganese, Molybdenum, Phosphorus, Potassium, 
Selenium, Sodium, Sulfur, and Zinc crude fat content, crude fiber content, and protein (Nitrogen) 
content but plans to also begin to expand sample volume and testing methodologies, such as adding 
CBD/THC testing of pet foods. The section also plans to work on building an increase collaboration 
between interdepartmental agencies and the FDA.

## Key facts

- **NIH application ID:** 10172244
- **Project number:** 1U19FD007092-01
- **Recipient organization:** MICHIGAN STATE DEPT OF AGRICULTURE
- **Principal Investigator:** Ted Gatesy
- **Activity code:** U19 (R01, R21, SBIR, etc.)
- **Funding institute:** FDA
- **Fiscal year:** 2020
- **Award amount:** $225,000
- **Award type:** 1
- **Project period:** 2020-09-01 → 2025-06-30

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10172244

## Citation

> US National Institutes of Health, RePORTER application 10172244, Chemistry Discipline B Track 3 Animal Food Testing (1U19FD007092-01). Retrieved via AI Analytics 2026-05-22 from https://api.ai-analytics.org/grant/nih/10172244. Licensed CC0.

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