Resolving Relationships: Determining the Impacts of Environmental Matrices on the Ionization Efficiencies of Per and Polyfluoroalkyl Substances (PFAS) for the Development of a Semi-Quantitation Model

NIH RePORTER · NIH · R01 · $15,998 · view on reporter.nih.gov ↗

Abstract

Abstract: A number of analytical challenges hinder the accurate identification and quantification of per and polyfluoroalkyl substances (PFAS) in the environment. These challenges include the lack of reference materials for PFAS as well as the ionization variability due to matrix interferences in electrospray ionization. In this externship, I plan on addressing these challenges by evaluating major matrix characteristics of environmental water samples and their relationship to the ionization efficiency. The observed relationships will be used to develop a preliminary statistical model for the semi-quantitation of PFAS without reference materials. Through collaboration with the United States Environmental Protection Agency, I will gain expertise from mentors, Dr. Sobus and Dr. McCord, in using cheminformatics for solving analytical problems. The semi-quantitation model developed as a result of the externship can be used to quantify transformation products of PFAS degradation studies, such as the nano bio-remediation techniques designed under the parent NIH grant, R01ES032717.

Key facts

NIH application ID
10580971
Project number
3R01ES032717-02S1
Recipient
STATE UNIVERSITY OF NEW YORK AT BUFFALO
Principal Investigator
Diana S Aga
Activity code
R01
Funding institute
NIH
Fiscal year
2022
Award amount
$15,998
Award type
3
Project period
2022-08-01 → 2022-10-31