Publication Date

2018

Document Type

Dissertation/Thesis

First Advisor

Nesterova, Irina

Degree Name

M.S. (Master of Science)

Legacy Department

Department of Chemistry and Biochemistry

LCSH

Chemistry; Analytic; Biochemistry

Abstract

Quantitative assessment of biomarkers is essential in numerous contexts from decision-making in clinical situations to food quality monitoring to the interpretation of life-science research findings. However, appropriate quantitation techniques are not as widely addressed as detection methods. One of the major challenges in biomarker's quantitation is the need to have a calibration for correlating a measured signal to a target amount. The step complicates the methodologies and makes them less sustainable. In this work, we addressed the issue via a new strategy: relying on the position of response profile rather than absolute signal for assessment of a target nucleic acid's amount. To enable the capability, we developed a target-probe binding mechanism based on a negative cooperativity effect. A proof-of-concept example demonstrated that the model is suitable for quantitative analysis of nucleic acids over a wide concentration range. The general principles of the platform will be applicable for a variety of biomarkers such as nucleic acids, proteins, peptides, and others.

Comments

Committee members: Baker, Gary M.; Hagen, Timothy J.; Horn, James R.||Advisor: Nesterova, Irina.||Includes bibliographical references.

Extent

117 pages

Language

eng

Publisher

Northern Illinois University

Rights Statement

In Copyright

Rights Statement 2

NIU theses are protected by copyright. They may be viewed from Huskie Commons for any purpose, but reproduction or distribution in any format is prohibited without the written permission of the authors.

Media Type

Text

Download

Share

COinS