Keeley
Vonne Farmer

The investigation and optimization of MIP-based PFAS sensing across sample matrices Physical Sciences

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Authors:

Keeley Vonne Farmer

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Per- and polyfluoroalkyl substances (PFAS) are a long-lasting, widely used chemical class known for its environmental harm and potentially adverse health effects. Addressing these environmental and health concerns necessitates the development of a sensitive, reliable, and rapid method of PFAS detection. Electrochemical sensing via molecularly imprinted polymer (MIP) modified electrodes presents a promising approach to PFAS detection. MIP-based sensors detect PFAS by measuring the current proportional to the concentration of target PFAS molecules as they associate with template-extracted cavities in the polymer. However, these sensors, like many others, are plagued with interferent effects, making their relevant use in environmental samples challenging. Here, we show an approach that potentially accounts for the complex matrices of environmental samples through a ratiometric comparison by using a known sample that mimics the complex sample matrix minus the analyte of interest. The present study investigates the dependability of the MIP-based sensing of two types of PFAS, perfluorooctanesulfonic acid (PFOS) and perfluorooctanoic acid (PFOA), across fluorinated and non-fluorinated counterparts, pH-buffered and non-pH-buffered, and tap water and Milli-Q water sample matrices. Keywords: Sensor; PFAS; Environmental; Interferent; MIP

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Purdue University / 2024

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Keeley Vonne Farmer

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