# NH PHL Discipline A Microbiology Analytical Track 2 - human food product testing

> **NIH FDA U19** · NH STATE DEPT/HLTH STATISTICS/DATA MGMT · 2020 · $96,250

## Abstract

Discipline A: Microbiology 
Analytical Track 2: Human Food Product Testing 
To improve food testing surveillance programs through the microbiological analysis of food 
products and environmental samples. The test results generated by these laboratories can be 
used to remove adulterated food from commerce and aide regulatory inspection programs in 
conducting investigations. 
The NH PHL plans to test ready to eat products for Salmonella, pathogenic E. coli and Salmonella 
over the course of the 5-year grant period. The NH PHL will start with 250 samples of a single 
commodity/hazard pair, the commodity will be ready to eat products collected by trained 
community Health Officers, the NH PHL will test for pathogenic E.coli. During the 5-year grant 
period the NH PHL plans to expand testing to additional matrices and organisms. 
NH PHL will participate and pass annual proficiency tests, attend the LFFM Face-to-Face meeting 
and monthly calls, maintain ISO 17025 accreditation, maintain facilities and personnel necessary 
to complete the work proposed, and provide a detailed quarterly summary of all samples collected 
and analyzed. The NH PHL will maintain a valid 20.88 agreement with the FDA.

## Key facts

- **NIH application ID:** 10173071
- **Project number:** 1U19FD007070-01
- **Recipient organization:** NH STATE DEPT/HLTH STATISTICS/DATA MGMT
- **Principal Investigator:** Christine Louise Bean
- **Activity code:** U19 (R01, R21, SBIR, etc.)
- **Funding institute:** FDA
- **Fiscal year:** 2020
- **Award amount:** $96,250
- **Award type:** 1
- **Project period:** 2020-09-01 → 2025-06-30

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10173071

## Citation

> US National Institutes of Health, RePORTER application 10173071, NH PHL Discipline A Microbiology Analytical Track 2 - human food product testing (1U19FD007070-01). Retrieved via AI Analytics 2026-05-22 from https://api.ai-analytics.org/grant/nih/10173071. Licensed CC0.

---

*[NIH grants dataset](/datasets/nih-grants) · CC0 1.0*