# Continued Implementation and Maintenance of the Manufactured Foods Regulatory Program Standards and Food Protection Task Force by the South Carolina Department of Agriculture

> **NIH FDA U2F** · SC STATE DEPARTMENT OF AGRICULTURE · 2024 · $165,000

## Abstract

Project Summary/Abstract
The South Carolina Department of Agriculture (SCDA) has achieved full implementation and full
conformance with the ten (10) standards of the Manufactured Foods Regulatory Program
Standards (MFRPS) as noted in the August 8-9, 2022, interval assessment by FDA. These
standards establish requirements for the critical elements of a regulatory program designed to
protect the public from foodborne illness and injury. These elements include the program’s
regulatory foundation, staff training, inspection, quality assurance, food defense preparedness
and response, foodborne illness and incident investigation, enforcement, education and
outreach, resource management, laboratory resources, and program assessment. Each
standard contains a purpose statement, requirement summary, description of program
elements, projected outcomes, and a list of required documentation. With funding from RFA-
FD-23-027, over the next three years, the MFRPS staff will continue to maintain all ten
standards.

## Key facts

- **NIH application ID:** 10932223
- **Project number:** 5U2FFD008088-02
- **Recipient organization:** SC STATE DEPARTMENT OF AGRICULTURE
- **Principal Investigator:** Elizabeth Dorton
- **Activity code:** U2F (R01, R21, SBIR, etc.)
- **Funding institute:** FDA
- **Fiscal year:** 2024
- **Award amount:** $165,000
- **Award type:** 5
- **Project period:** 2023-09-15 → 2026-06-30

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10932223

## Citation

> US National Institutes of Health, RePORTER application 10932223, Continued Implementation and Maintenance of the Manufactured Foods Regulatory Program Standards and Food Protection Task Force by the South Carolina Department of Agriculture (5U2FFD008088-02). Retrieved via AI Analytics 2026-05-25 from https://api.ai-analytics.org/grant/nih/10932223. Licensed CC0.

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