Gas detector | EPFL Graph Search

A gas detector is a device that detects the presence of gases in an area, often as part of a safety system. A gas detector can sound an alarm to operators in the area where the leak is occurring, giving them the opportunity to leave. This type of device is important because there are many gases that can be harmful to organic life, such as humans or animals. Gas detectors can be used to detect combustible, flammable and toxic gases, and oxygen depletion. This type of device is used widely in industry and can be found in locations, such as on oil rigs, to monitor manufacturing processes and emerging technologies such as photovoltaic. They may be used in firefighting. Gas leak detection is the process of identifying potentially hazardous gas leaks by sensors. Additionally a visual identification can be done using a thermal camera These sensors usually employ an audible alarm to alert people when a dangerous gas has been detected. Exposure to toxic gases can also occur in operations suc

An Experimental Setup for Heterogeneous Catalysis on Atomically Defined Metal Nanostructures

Jean-Guillaume De Groot

The main objective of this PhD thesis is to link the atomic scale structure to the catalytic properties of self-assembled nanostructures. The growth and characterization of these nanostructures was carried out in an ultra-high vacuum (UHV) chamber initially designed for the study of the kinetics of epitaxial growth of thin films and nanostructures by variable temperature scanning tunneling microscopy. During this PhD thesis, we built a very sensitive and selective gas detector based on a quadrupole mass spectrometer and adapted to the geometry of this UHV system. The proper functioning of the gas detector is confirmed by temperature programmed desorptions of Xe on Ag(100) which demonstrate the very high sensitivity of the device of about

10^{-6}

~monolayer (ML). The zero-order desorption parameters obtained for the first monolayer of Xe adsorbed on Ag(100) are

E_d=0.22-0.23

~eV with a prefactor

\nu_0

between

4\times10^{12}

^{-1}

and

1 \times10^{13}

^{-1}

. An exchange process between Fe adatoms and Ag atoms from the Ag(100) surface is identified by means of temperature programmed desorption of N

_2

. Desorption spectra suggest that the exchange is complete from an annealing temperature of 140~K. Our study of the catalytic activity of metal nanostructures focuses on the ability of passivated Fe clusters to adsorb N

_2

molecules without dissociating them, which is a fundamental step in the bio-inspired heterogeneous catalysis of ammonia. The first system investigated for the growth of Fe clusters is MgO/Ag(100). Diffusion of Fe adatoms deposited on a MgO monolayer is observed from an annealing temperature of 280~K onwards. Fe clusters with an average size of

12.1\pm 0.5

~atoms are obtained on a MgO monolayer by thermal ripening of 0.072~ML of Fe deposited at 40~K. No sign of N

_2

adsorption was observed on these clusters by thermal programmed desorption investigation. The second system chosen for the growth of Fe clusters is graphene/Ir(111) obtained by chemical vapor deposition. The deposition of 0.3 and 0.4 ML of Fe on a graphene/Ir(111) sample at 50~K, followed by annealing at 300~K, generates a superlattice of Fe clusters which matches the periodicity of the moiré formed by graphene/Ir(111). The theoretically expected mean cluster size is 26 atoms for 0.3~ML of Fe, and 35 atoms for 0.4~ML of Fe. The temperature stability of the clusters obtained with 0.4~ML Fe is investigated from 300~K to 600~K. It is established that Smoluchowski ripening takes place as the annealing temperature increases and the superlattice structure has completely disappeared after annealing at 600~K. Temperature programmed desorption of molecularly adsorbed N

_2

at 50~K on a sample with 0.4~ML of Fe deposited on graphene/Ir(111) reveals 3 desorption peaks at 120~K, 92~K, and 60~K. In addition, slow dissociation of nitrogen molecules at 50~K adsorbed on the higher energy adsorption sites is demonstrated.

EPFL2021

Development and application of UV-visible and mid-IR differential absorption spectroscopy techniques for pollutant trace gas monitoring

Rodrigo Jimenez Pizarro

Spatial representativeness is an important quality criterion in trace gas monitoring, especially if measurements are intended for regulatory and model validation purposes. Open-path absorption spectroscopy techniques meet the representativeness requirement by providing concentrations averaged over atmospheric paths ranging from some hundred meters to some kilometers. This research concerns the characterization and application of a UV-visible differential optical absorption spectroscopy (DOAS) system, and the development and demonstration of a trace gas detection technique based on tunable, mid-infrared (mid-IR) quantum-cascade lasers (QCL). The spectral accuracy, stability and resolution of the DOAS spectrometer, and the efficiency of its PMT1-based light detection system were characterized and tested in laboratory and field conditions. Additional laboratory experiments included exploratory test of a photodiode array (PDA) as multichannel analyzer, and spectral analysis of the arc of high-pressure Xe lamps. PDA measurements of NO2 in the 360-530 nm range show an effective lower detectable fractional absorbance of 8·10-4 (1-sigma) for a 3-s integration time, overpassing the detection capabilities of the scanner/PMT system. DOAS measurements of SO2, NO2, and O3 were extensively validated through laboratory calibration and intercalibration, and field intercomparison with conventional point monitors and EPA2-certified DOAS systems, showing good agreement among the different instruments. A nitrous acid (HONO) generator was developed and used for characterizing the DOAS detection capability. Laboratory measurements indicate a lower detection limit (LDL) of ~0.2 ppm·m HONO (2-sigma) for a 30-min integration time. Concerning formaldehyde (HCHO), a field intercomparison with HPLC3-analyzed DNPH4 samples shows a non-aleatory, high degree of correlation (r2 = 97%) between the two techniques, but unexplained, significant deviation from the 1:1 line (which is nevertheless within the 85% confidence interval of the correlation curve). A mathematical method was developed for the estimation of detection limits through the analysis of sequential lamp spectra. LDL estimations with this method are in very good agreement with operational detection limits. Other data processing and concentration retrieval algorithms were developed and used for analyzing laboratory and field measurements (12 campaigns). The analysis and interpretation of observations in two of these field studies are reported in detail. The first study concerns the dynamics and photochemical production regime of HCHO in the Grenoble region, France. DOAS measurements at a suburban location of Grenoble allowed estimating the sources of formaldehyde, and served at validating the results of a mesoscale photochemical grid model. Measurement-derived emission and photochemical production ratios are in good agreement with literature values, the emission inventory, and model calculations. A large fraction (>80%) of the HCHO observed at the measurement location is photochemically produced, and its production is VOC-limited / NOx-saturated. This investigation demonstrates also that DOAS is a well-suited technique for model validation purposes. The second study concerns the emission of monocyclic aromatic hydrocarbons (MAH) from a wastewater treatment plant in Lausanne (Switzerland) using DOAS and GC5/FID6-analyzed grab samples. Combined analysis of the vertical wind speed and the MAH concentration time series suggest a quasi-diurnal cycle involving accumulation of fugitive emissions during the stagnant early morning hours followed by rapid upward convective dispersion from midday on. This study indicates that the wastewater treatment plant is a potentially significant source of MAH in the Lausanne area. Measurements carried out in a high altitude (~2500 m ASL7) Andean valley (Sogamoso Valley, Colombia) are also presented and interpreted. A combined analysis of meteorological and O3 measurements performed at ground level (including DOAS) and airborne (with a homemade tethered balloon), along with model calculations, provide evidence for mesoscale inflow to the Sogamoso Valley of clean air masses from the Colombian Eastern Savanna (~200 m ASL). This quasi-diurnal anabatic flow plays an important role in the ventilation of the Sogamoso valley, particularly during the dry season. Despite of its high selectivity and sensitivity, and good temporal resolution, the UV-visible DOAS technique is restricted to a limited number species that display highly structured electronic bands. The advent of the quantum-cascade laser (QCL) in 1994, and its rapid development thereafter, offers to open-path absorption spectroscopy a promising doorway to the mid-IR. Quantitive detection of O3 at ambient pressure with a 9.6 µm pulsed-operated, single-mode DFB8 QCL was demonstrated in laboratory conditions. QCL transmission spectra in the 1044-1050 cm-1 range were obtained by tuning the laser temperature. O3 column densities retrieved from the mid-IR spectra are in good agreement with simultaneous DOAS measurements but the detection limit attained (~25 ppm·m) is still too high for immediate test in open path conditions. Currently ongoing improvements on the QCL pulse acquisition system should allow achieving detection limits at the level of commercial DOAS systems (~2 ppm·m) in the very near future. These results demonstrate the applicability of the differential absorption method to QCL absorption spectroscopy at ambient pressure and encourage its use for open path detection. -------------------------------------------------- 1 PMT: PhotoMultiplier Tube 2 EPA: US Environmental Protection Agency 3 HPLC: High Performance Liquid Chromatography 4 DNPH: 2,4-DiNitroPhenylHydrazine 5 GC: Gas Chromatography 6 FID: Flame Ionization Detector 7 ASL: Above the Sea Level 8 DFB: Distributed FeedBack

EPFL2004

Highly sensitive SnO2 sensor via reactive laser-induced transfer

Alain Grisel, Ulrike Lehmann, Alexander Wokaun

Gas sensors based on tin oxide (SnO2) and palladium doped SnO2 (Pd:SnO2) active materials are fabricated by a laser printing method, i.e. reactive laser-induced forward transfer (rLIFT). Thin films from tin based metal-complex precursors are prepared by spin coating and then laser transferred with high resolution onto sensor structures. The devices fabricated by rLIFT exhibit low ppm sensitivity towards ethanol and methane as well as good stability with respect to air, moisture, and time. Promising results are obtained by applying rLIFT to transfer metal-complex precursors onto uncoated commercial gas sensors. We could show that rLIFT onto commercial sensors is possible if the sensor structures are reinforced prior to printing. The rLIFT fabricated sensors show up to 4 times higher sensitivities then the commercial sensors (with inkjet printed SnO2). In addition, the selectivity towards CH4 of the Pd:SnO2 sensors is significantly enhanced compared to the pure SnO2 sensors. Our results indicate that the reactive laser transfer technique applied here represents an important technical step for the realization of improved gas detection systems with wide-ranging applications in environmental and health monitoring control.

Nature Publishing Group2016