People:  Graduate Students:  Lisa Schupmann
Lisa Schupmann

Degree: M.S., Chemical Engineering
Advisor: Christos Georgakis
Research Project: Development of an experimental high throughput multi-reactor system

Project Description:
This research project aims to develop an experimental multi-reactor system for investigation of the kinetic characteristics of complex reaction networks relevant to the production of pharmaceuticals.  The first step in this effort aims to interface near-infrared (NIR) spectroscopy to a robotic reactor with the goal to obtain online composition vs. time reaction data. Infrared spectroscopy can be used for rapid in-situ process analysis of multiple vessels via transflectance probes and fiber optics. This system has advantages over the off-line and time-consuming high-performance liquid chromatography (HPLC) reference method. NIR is a fast and non-destructive method that does not require sampling and can continuously monitor a dynamic reaction in real time.

 As spectra are collected, chemometric methods are used to deconvolute each spectrum and interpret it into composition versus time data. Our goal is to follow the changing concentrations of a complex reaction, and use this data to develop robust stoichiometric and kinetic models.  This is needed for the design of optimal operational recipes and the online control of batch reactors. Online analysis is needed to accumulate more productively the needed number of experimental data for the development of the appropriate models.  

Education & Experience:
B.S. (summa cum laude) in Chemical Engineering, 2005
Tufts University

Funding:
Tufts University

Graduate Students:

Fernando Lima
Foteini Makrydaki
Praveen Prasanna
Lisa Schupmann
Sze Wing Wong