Nicholas Verrire

Mentor: Dr. Sergey Vasenkov
College of Engineering
"I have always been fascinated by the fact that people can constantly unearth new and very useful information about the world around us by applying our current knowledge through experimentation. I am also very fond of the academic environment, and the combination of these two factors are what prompted me to get involved in research. It is my intent to contribute as much as I can to the advancement of society in my time here as an undergraduate."


Chemical Engineering



Research Interests

  • Gas Diffusion
  • Porous Membrane Systems

Academic Awards

  • National AP Scholar - 2014


  • American Institute of Chemical Engineers


  • St. Francis House homeless facility volunteer

Hobbies and Interests

  • Golf
  • Guitar
  • Science

Research Description

Diffusion of Gas Mixtures In Nanochannels Using PFG-NMR
Gas separation is a process that has made its way into chemical industries such as biofuel, pharmaceutical and petrochemical production. While certain techniques have proved efficient for heavy gas separation, methods for lightweight gas separation are less than par. Currently, research into creating porous membrane systems are under way to produce the highest efficiency diffusion flux and gas selectivity of these lightweight gases. The main goal of my project is to study the behavior of gas diffusion on micrometer and submicrometer length scales in nanochannels, and use these data to help develop new approaches to the membrane-based gas separation process. In sample preparation we seal NMR tubes with the desired gas of interest, or with the desired gas and porous system (AV nanochannels). Using Pulsed Field Gradient - Nuclear Magnetic Resonance Spectroscopy we can collect data concerning diffusion rates within the sample, as well as understand characteristics of single-file gas diffusion. Understanding the diffusion behavior can allow for the modification of the porous system, which can ultimately make the separation of lightweight gases more efficient and reliable.