# Chemistry: Analytical Track 3: Animal Food Testing

> **NIH FDA U19** · MARYLAND STATE DEPARTMENT OF HEALTH · 2020 · $20,000

## Abstract

SUMMARY: CHEMISTRY ANALYTICAL TRACK 3 (ANIMAL FOOD TESTING) 
Household safety can be threatened by pet food that is adulterated with a wide range of chemicals, or by 
contaminated animal feed that forms the start of the nation’s food chain. The core tenet of this large and 
multifaceted proposal is to contribute a comprehensive and integrated food protection laboratory 
hub to the Food Emergency Response Network (FERN) that is capable of analyzing many different foods 
across a diversity of threat priorities. Surveilling animal/pet food for chemical contamination 
addresses a potential vulnerability, and is thus an integral component of our goal of ensuring a 
safe food supply. This proposal seeks to maintain and extend the MDH Laboratories Administration’s 
capability by testing diverse animal foods (100 samples annually) using ISO/IEC 17025:2017-accredited 
methods, extensive technical capabilities, and the experienced Analysts of the Food Chemistry 
Laboratory. The Laboratory proposes to test 100 samples annually from the commodity/hazard pair 
that the FDA has determined to be national priorities. This planned strategy complements the 
Laboratory’s high-volume human food testing activities.

## Key facts

- **NIH application ID:** 10174017
- **Project number:** 1U19FD007084-01
- **Recipient organization:** MARYLAND STATE DEPARTMENT OF HEALTH
- **Principal Investigator:** SINISA URBAN
- **Activity code:** U19 (R01, R21, SBIR, etc.)
- **Funding institute:** FDA
- **Fiscal year:** 2020
- **Award amount:** $20,000
- **Award type:** 1
- **Project period:** 2020-09-01 → 2025-06-30

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10174017

## Citation

> US National Institutes of Health, RePORTER application 10174017, Chemistry: Analytical Track 3: Animal Food Testing (1U19FD007084-01). Retrieved via AI Analytics 2026-05-23 from https://api.ai-analytics.org/grant/nih/10174017. Licensed CC0.

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