Raman Spectroscopy of Tungsten Trioxide and COMSOL© Computer Simulation in Gas Sensor Technology C. Craig Mentor: Dr. P. Misra REU Team Members: R. Garcia-Sanchez, Dr. D. Casimir, S. Bartley Summer 2015 REU Program Howard University Department of Physics and Astronomy Outline • Motivation for research • Background: • What are semiconducting metal oxide gas sensors? • How are optical gas sensors used today? • • • • What is Raman Spectroscopy? Research methodology and Results Comsol© Simulation Conclusions and Future Research Why use spectroscopy in gas sensing? • Semi-conducting metal oxide gas sensors are • • • • Small Portable Cheap But inefficient • Optical gas sensors will • Improve time-efficiency • Improve precision of concentration detection Semiconducting Metal-Oxide Gas Sensors [1] • Composition: • Thin film layer of semiconducting metal oxide • Substrate • Heating track Fine et al. 2010 Carbon Dioxide Sensor http://www.futurlec.com/Gas_Sensors.shtml Changes in Resistivity • Semiconducting metal-oxide gas sensors use changes in resistivity to detect the presence of certain gases http://www.ipm.fraunhofer.de/content/dam/ipm/en/PDFs/Prod uct%20sheet/GP/ISS/semiconductor-gas-sensors.pdf Optimal Operating Temperature • Optimal gas detecting temperatures differ depending on the gas • ZnO detects • Chlorobenzene at ~200°C • Ethanol at ~380°C Optical Gas Sensors Used Today Mars Land Rover http://news.rpi.edu/content/2013/09/26/nasamars-rover-curiosity-finds-water-first-sample-planet-surface What is Raman Spectroscopy? • Study of the interactions of matter and light (visible and invisible) • Raman Spectroscopy uses monochromatic light to identify molecules based on light scattering from the vibration that occurs between bonded atoms in lattice structures. Tungsten Trioxide Monoclinic Lattice Structure Bignozzi et al. 2012 • Atoms bond in a lattice structure to form solids. • Bonds vibrate at different frequencies. • Vibration-laser beam interaction creates spectral lines. Fingerprint of WO3 https://www.mdsp.org / • The major Raman peaks of Tungsten Trioxide are 808, 719, and 274 cm-1. • These peaks result from the W-O stretching mode, the W-O bending mode, and the W-O-W deformation mode, respectively, in the lattice structure. Methodology • A DXR Smart Raman spectrometer • 780 nm laser • OmnicTM Specta Software • Ventacon H-4-200 Sealed Hot Cell • Tungsten Trioxide Sample Imaging CCD Spectrometer Detector Collection Lens Notch Filter 780 nm Narrowband Mirror Objective Lens Sample Temperature Controlled Environmental Chamber CW Laser (780nm) P. Misra et al. 2015 P. Misra et al. 2015 www.ventacon.com/hotcell/hotcell2.htm Results • The peaks exhibited a slight red-shift in frequency as the temperature increased from 30 to 200°C. P. Misra et al. 2015 Red-Shift in Frequencies Slopes: • 808 peak: -0.006, -0.038 • 718 peak: -0.0043, -0.0038 • 275 peak: -0.0179, -0.0172 808 Peak v. Temp 809 Peak 1 v. Temp up/F 1350 808.5 Peak 1 v. Temp down/F 1500 808 y = -0.006x + 808.77 807.5 Linear (Peak 1 v. Temp up/F 1350) 807y = -0.0038x + 807.73 806.5 806 0 274 Peak v. Temp 100 200 300 Linear (Peak 1 v. Temp down/F 1500) 718 Peak v. Temp 276 720 275.5 275 y = -0.0179x + 275.8 Peak 3 v. Temp up 274.5 274 Peak 3 v. Temp down 273.5 273 272.5 Linear (Peak 3 v. Temp up) 272 y = -0.0172x + 275.03 271.5 Linear (Peak 3 v. Temp down) 271 719.5 Peak 2 v. Temp up 719 Peak 2 v. Temp down y = -0.0043x + 719.27 718.5 Linear (Peak 2 v. Temp up) 718 y = -0.0038x + 718.57 717.5 Linear (Peak 2 v. Temp down) 717 0 100 200 300 0 100 200 300 Discussion of Results • The decrease in frequency • Thermal expansion • Phonon Interactions • Temperature uncertainty at extremity of hot cell. • Use of Comsol© Simulation to resolve uncertainty. Comsol© Simulation of Hot Cell • Build geometry • Apply materials and physics • Run simulations Simulation Results Multislice Electric Potential (V) Surface Temperature (K) Isosurface Temperature (K) Future Work and Goals • Tungsten Trioxide samples will be exposed to SO2 and NO gas and the resulting Raman spectra will be taken. • These spectra will be compared to the WO3 spectra previously gathered. • Relate intensity to concentration. • Break into the gas sensor industry with optical sensors • Miniaturized • Fingerprint indicates the gas • Intensity of spectral lines indicates concentration Acknowledgments • NSF Funding • My mentor, Dr. P. Misra • My REU Team Members: R. Garcia, Dr. D. Casimir, S. Bartley Bibliography [1] http://www.ipm.fraunhofer.de/content/dam/ipm/en/PDFs/Product%20sheet/GP/ISS/semiconductor-gas-sensors.pdf [2] Raul Garcia. Ph.D. Dissertation [3] inphotonics. Carbon Dioxide Sensor http://www.futurlec.com/Gas_Sensors.shtml Bignozzi CA, Caramori S, Cristino V, Argazzi R, Meda L, Tacca A. 2013. Nanostructured photoelectrodes based on WO3: applications to photooxidation of aqueous electrolytes. Royal Society of Chemisty 42, 2228–2246. Misra P, Casimir D, Garcia-Sanchez R, Balinga S. Raman spectroscopic characterization of carbon nanotubes & tungsten oxide of relevance to energy storage and gas sensing applications. Poster session presented at: Name of Convention. Number of conference; 2015 June 15; Lake Forest, CA. Wang C, Yin L, Zhang L, Xiang D, Gao R. 15 March 2010. Metal oxide gas sensors: sensitivity and influencing factors. Sensors (10): 2088-2106. Shimizu Y, Egashira M. 1999. Basic aspects and challenges of semiconductor gas sensors. MRS Bulletin. 18-24. Xie S, Inglesia E, Bell AT. 2001. Effects of Temperature on the Raman Spectra and Dispersed Oxides. J. Phys. Chem B. 105(22): 5144-5152. 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