Document Type
Thesis
Date of Award
Fall 1-31-1997
Degree Name
Master of Science in Chemical Engineering - (M.S.)
Department
Chemical Engineering, Chemistry and Environmental Science
First Advisor
Robert G. Luo
Second Advisor
Angelo J. Perna
Third Advisor
Deran Hanesian
Abstract
Gradient elution chromatography is an efficient technique for adjusting the retention of sample components during liquid chromatographic separations. However, the optimization of gradient elution is usually done by trial and error. Thus, for large scale processes this results in expensive and time consuming design and operations. Peak resolution that describes the degree of separation is a commonly used parameter for chromatographic processes. However, in processes where operating time and product dilution are of great importance, resolution alone is not adequate for describing the separation efficiency.
A new parameter "resolution optimization factor" is used for the optimization of gradient elution processes. Different gradient inputs were studied using proteins β-Lactoglobulin A/B to demonstrate the utility of resolution optimization factor. Thus, gradient profiles can be predicted which will give better separation efficiency by considering resolution as well as elution time. This is expected to lead to a systematic and rational approach that can be used to improve the efficiency of the downstream production processes, and reduce the amount of waste solvents generated in the biotechnology and pharmaceutical industries.
Recommended Citation
Mahmood, Tariq, "Optimization of ion-exchange chromotography with multiple gradient inputs for protein separations" (1997). Theses. 1021.
https://digitalcommons.njit.edu/theses/1021
