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Spring 2013
Each individual chromatogram is typically very sparse, especially when coupled with a technique such as mass spectrometry. Only a small portion of the recorded data actually contains potentially useful information. Since the inclusion of irrelevant information will have detrimental effects upon...
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Characterization of Particulate Matter Morphology and Volatility for Two Direct-Injection Engines
DownloadFall 2015
Particulate matter emitted from two direct injection engines has been characterized by morphology, volatility, mass-mobility exponent, effective density, and size distribution using tandem measurements from a centrifugal particle mass analyzer (CPMA) and differential mobility analyzers (DMA). The...
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Fall 2017
Advancements in data acquisition technologies and the desire for rich data has led to an increase in the size of data collected from modern analytical instruments. With the aid of chemometric techniques, researchers are still able to glean more useful information from these kinds of data than...
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Decomposition and Feature Selection of Comprehensive 2-DimensionalGas Chromatography - Time-of-Flight Mass Spectrometry(GC×GC-TOFMS) Data
DownloadFall 2021
Comprehensive Two-Dimensional Gas Chromatography - Time-of-Flight Mass Spectrometry (GC×GC-TOFMS) is an advanced instrumental technique that separates complex mixtures along two chromatographic dimensions, followed by multivariate detection that collects mass spectral information at a high...
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Fall 2011
Predicting the time for which a petroleum mixture has been exposed to weathering effects could have many applications. Historically, research on the evaporation rates of hydrocarbon mixtures has focused on forensic oil spill identification. Relatively little attention has focused on estimating...
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Tools and Methodologies for The Rapid Determination and Transfer of Thermodynamic Parameters used in the Prediction of Gas Chromatographic and Two Dimensional Comprehensive Gas Chromatographic Retention Times
DownloadFall 2014
Three parameter thermodynamic predictive models have been shown previously to provide superior accuracy in the prediction of gas chromatographic retention times in comparison to other forms of modelling such as retention indices. However, these models suffer from the need for extensive...