E
Edward Voigtman
Researcher at University of Massachusetts Amherst
Publications - 41
Citations - 730
Edward Voigtman is an academic researcher from University of Massachusetts Amherst. The author has contributed to research in topics: Photoionization & Signal processing. The author has an hindex of 14, co-authored 41 publications receiving 690 citations.
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Journal ArticleDOI
Mapping protein energy landscapes with amide hydrogen exchange and mass spectrometry: I. A generalized model for a two-state protein and comparison with experiment.
Hui Xiao,Joshua K. Hoerner,Stephen J. Eyles,Andras Dobo,Edward Voigtman,Andre I Mel'cuk,Igor A. Kaltashov +6 more
TL;DR: The goal of this work is to develop a framework for a generalized exchange model that takes into account multiple processes leading to amide hydrogen exchange, and does not require that the exchange proceed strictly via EX1 or EX2 kinetics.
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Comparison of laser excited fluorescence and photoacoustic limits of detection for static and flow cells
TL;DR: In this article, the fluorescence and photoacoustic properties of a windowless flow cell intended for liquid chromatographic applications are compared with respective characteristics of a static cuvette cell and a photoionization mode of operation for the flow cell is exhibited which utilizes the ionization products of two-photon excitation of polynuclear aromatic hydrocarbons in n-alkanes to effect a sensitive detection of those PAHs.
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Two-photon photoionization detection of polycyclic aromatic hydrocarbons and drugs in a windowless flow cell
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Condensed phase photoacoustic spectroscopic detection of porphyrins and dyes
TL;DR: In this article, a simple piezoelectric detection system suitable for performing highly sensitive liquid-phase photoacoustic spectroscopy is presented, and performance of the system with respect to linearity, solvent effects, and excitation pulse characteristics is experimentally evaluated and compared with theoretical figures of merit.
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Statistical properties of limit of detection test statistics.
Daniel Montville,Edward Voigtman +1 more
TL;DR: Although the derived PDFs were found to be irreducible integrals, they are easily evaluated via numerical integration and can be used to obtain expectation values, population precisions and confidence intervals.