Physical Sciences and Mathematics Commons^™

Development Of Scent Detection And Categorization Algorithm Using Gas Chromatography And Machine Learning, Alex Driehaus

Mahurin Honors College Capstone Experience/Thesis Projects

There are many looking to connect human senses to quantifiable data. Scents are categorized by their descriptions into scent families. These include citrus, floral, and woody. Similar descriptors designate similar families, while different descriptors correlate with different families. Dravnieks compiled an Atlas of chemical descriptors [1]. Such descriptors are cinnamon, fruity, and cadaverous. By analyzing the applicability of these descriptors, the chemicals will be sorted into their scent families.

Gas chromatography generates sample-specific signals of voltage over time. Chromatograms of known scents will serve as a basis for a convolutional neural network. This algorithm will be trained on these signals …

Novel Integrated Nano-Sensors For Analysis Of Chemical Compounds In Natural Gas Applications, Taylor Robinson

Mahurin Honors College Capstone Experience/Thesis Projects

Semiconductor sensors have been important environmental gas detectors since the 1990s, and are commonly used to detect hydrogen, oxygen, alcohol vapor, and even harmful gases such as carbon monoxide. A gas chromatography approach is a well-proven and compact separation technique to identify and quantify multiple compounds in a complex background such as a true natural gas environment. Real time field monitoring implementing classical GC and standard sensors (FID, PID, etc.) have a lot of limitations due to its bulky size, heavy weight, and high maintenance. In this study, we developed a portable instrument through the utilization of novel solid-state sensors …