Graduation Semester and Year
2017
Language
English
Document Type
Dissertation
Degree Name
Doctor of Philosophy in Chemistry
Department
Chemistry and Biochemistry
First Advisor
Purnendu K Dasgupta
Abstract
Height- and area-based quantitation approaches reduce two-dimensional data to a single value. For a calibration set, there is a single height- or area-based quantitation equation. We introduce a new quantitation method; a Width based method that consists of using the width of a peak (Wh), at any height h, (a fixed height, not a fixed fraction of the peak maximum), leading to any number of calibration curves. This particularity of width-based quantitation (WBQ) allows the quantitation of peaks over very large scales, making the quantitation of truncated peaks possible. We showed that WBQ can offer superior overall performance (lower root mean square relative error over the entire range) compared to area- or height-based linear regression methods, rivaling weighted linear regression, provided that response is uniform near the height used for width measurement. WBQ forces one to not ignore the 2-dimensionality of a peak and all of the information from the peak one can obtain; which allows the detection and quantitation of impurity down to 1% of impurity.
Keywords
Width, Quantitation, Calibration, Impurity
Disciplines
Chemistry | Physical Sciences and Mathematics
License
This work is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 4.0 International License.
Recommended Citation
Kadjo, Akinde Florence, "Studies in Liquid and Ion Chromatography" (2017). Chemistry & Biochemistry Dissertations. 204.
https://mavmatrix.uta.edu/chemistry_dissertations/204
Comments
Degree granted by The University of Texas at Arlington