# Development Core

> **NIH NIH U2C** · RESEARCH TRIANGLE INSTITUTE · 2024 · $105,782

## Abstract

Project Summary/Abstract (Development Core)
The Development Core (DC) and the Untargeted Analysis Resource Core (UARC) will collaborate, with the
overall aims to increase the range of analytes or biological markers that are detected and identified that reflect
environmental exposures. The DC will work with the Big Data Analytics of UARC to prioritize the sourcing of
compounds. The DC will optimize extraction procedures for new matrices, in addition to the matrices already
analyzed (e.g., urine, serum, plasma, feces, saliva and sweat), and will conduct analyses of biospecimens
collected and stored under different conditions to inform best practices for epidemiology studies. They will
establish an untargeted method using gas chromatography coupled to an orbitrap mass spectrometer (GC-Q-
Exactive) to expand the services offered by the UARC. The DC will also use GC- and liquid chromatography
(LC)-Mass spectrometry with Multiple Reaction Monitoring (MRMs) and MSn to develop specific broad
spectrum panels for rapid quantitative analysis of analytes that are difficult to detect on the untargeted
platforms. The DC will be directed by Dr. Timothy Fennell (MPI, RTI), who has extensive experience with
chemical exposure, metabolite identification and toxicity, and exposure biomarker development.

## Key facts

- **NIH application ID:** 10415979
- **Project number:** 5U2CES030857-04
- **Recipient organization:** RESEARCH TRIANGLE INSTITUTE
- **Principal Investigator:** TIMOTHY RAYMOND FENNELL
- **Activity code:** U2C (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2024
- **Award amount:** $105,782
- **Award type:** 5
- **Project period:** 2019-09-05 → 2026-05-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10415979

## Citation

> US National Institutes of Health, RePORTER application 10415979, Development Core (5U2CES030857-04). Retrieved via AI Analytics 2026-05-23 from https://api.ai-analytics.org/grant/nih/10415979. Licensed CC0.

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