# Iowa Department of Agriculture and Land Stewardship LFFM - Expanding Capabilities and Capacities

> **NIH FDA U19** · IOWA DEPT AGRICULTURE/LAND STEWARDSHIP · 2020 · $549,996

## Abstract

The Iowa Department of Agriculture and Land Stewardship (IDALS) propose to partner with the FDA with
the Laboratory Flex Funding Model (LFFM) to enhance the capacity and capabilities of state human and
animal food testing laboratories in support of an integrated food safety system. ISO/IEC 17025:2005
laboratory accreditation within the scope must be maintained at full implementation to strengthen
quality results. IDALS compliance of the FDA’s requirements will benefit the FDA by enabling IDALS to
develop and implement standards, develop and maintain best practices, enhance food safety, and
reduce illnesses attributed to various food safety hazards. By maintaining ISO/IEC 17025:2005
accreditation, the data will come from a quality system that delivers results that are recognized as high-
quality, and will be immediately enforceable, thus increasing food security through an integrated food
safety system that is effective and efficient.
IDALS overall strategy to meet the goals of the LFFM is to expand IDALS testing capabilities and capacity
hiring new employees, purchasing additional equipment, validating new methods, and testing human
and animal food samples.

## Key facts

- **NIH application ID:** 10175202
- **Project number:** 1U19FD007120-01
- **Recipient organization:** IOWA DEPT AGRICULTURE/LAND STEWARDSHIP
- **Principal Investigator:** TRAVIS JAY KNIGHT
- **Activity code:** U19 (R01, R21, SBIR, etc.)
- **Funding institute:** FDA
- **Fiscal year:** 2020
- **Award amount:** $549,996
- **Award type:** 1
- **Project period:** 2020-09-01 → 2025-06-30

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10175202

## Citation

> US National Institutes of Health, RePORTER application 10175202, Iowa Department of Agriculture and Land Stewardship LFFM - Expanding Capabilities and Capacities (1U19FD007120-01). Retrieved via AI Analytics 2026-05-24 from https://api.ai-analytics.org/grant/nih/10175202. Licensed CC0.

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