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

解决关系：确定环境基质对全氟烷基物质和多氟烷基物质 (PFAS) 电离效率的影响，以开发半定量模型

• 批准号: 10580971
• 负责人: Diana S Aga
• 金额: $ 1.6万
• 依托单位: STATE UNIVERSITY OF NEW YORK AT BUFFALO
• 依托单位国家: 美国
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-08-01 至 2022-10-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10580971
• 关键词: Address; Characteristics; Chemicals; Collaborations; Development; Electrospray Ionization; Endocrine; Environment; Environmental Impact; Evaluation; Grant; Health; Human; Malignant Neoplasms; Mentors; Modeling; Parents; Poly-fluoroalkyl substances; Statistical Models; Techniques; United States Environmental Protection Agency; United States National Institutes of Health; cheminformatics; design; externship; ionization; nano; remediation; water sampling

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.

抽象的： 许多分析挑战阻碍了准确识别和量化 环境中的全氟烷基物质 (PFAS)。这些挑战包括缺乏 PFAS 的参考材料以及由于基质干扰而导致的电离变异性 电喷雾电离。在这次实习中，我计划通过评估来应对这些挑战 环境水样的主要基质特征及其与电离的关系 效率。观察到的关系将用于开发初步统计模型 无需参考物质即可半定量 PFAS。通过与联合国的合作 国家环境保护局，我将从导师 Sobus 博士和 Dr. Sobus 那里获得专业知识。 McCord，使用化学信息学解决分析问题。半定量模型 实习成果可用于量化 PFAS 的转化产物 降解研究，例如母公司 NIH 设计的纳米生物修复技术 授予，R01ES032717。