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Title
Enhanced Mass Spectrometric Analysis of Peptides and Proteins Using Polymeric Reverse Micelles
Author ORCID Identifier
N/A
AccessType
Campus-Only Access for Five (5) Years
Document Type
dissertation
Degree Name
Doctor of Philosophy (PhD)
Degree Program
Chemistry
Year Degree Awarded
2019
Month Degree Awarded
February
First Advisor
Richard W. Vachet
Second Advisor
Sankaran Thayumanavan
Third Advisor
Stephen J. Eyles
Fourth Advisor
Kathleen F. Arcaro
Subject Categories
Analytical Chemistry | Chemistry | Materials Chemistry | Polymer Chemistry
Abstract
Mass spectrometry (MS) has become a key and indispensable tool in the identification, characterization, and quantitative analysis of proteins owing to its universality, sensitivity, specificity, and its capability for multiplexed detection. Because biological samples containing these protein analytes are almost always complex systems, various techniques are employed in conjunction with MS to fully harness its analytical potential and enhance its detection capabilities. This dissertation explores the use of amphiphilic polymeric reverse micelles in enriching proteins and peptides from complex biological mixtures and in enhancing their mass spectrometric analysis. Fundamental studies that elucidate the molecular basis for the observed MS signal enhancement that these materials confer are described through structure-property investigations. The molecular features that influence the release of peptides after their encapsulation in these assemblies are examined, and a method for efficient guest release is devised to enable a more quantitative MS analysis. The utility of these materials in simplifying serum and its applicability in significantly enhancing the detection sensitivity in the MS analysis of protein biomarkers is demonstrated.
DOI
https://doi.org/10.7275/13031565
Recommended Citation
Serrano, Mahalia Adelina Corazon Paningbatan, "Enhanced Mass Spectrometric Analysis of Peptides and Proteins Using Polymeric Reverse Micelles" (2019). Doctoral Dissertations. 1527.
https://doi.org/10.7275/13031565
https://scholarworks.umass.edu/dissertations_2/1527