Evaluation of gas and particle sensors for detecting spacecraft-relevant fire emissions

Wang, Xiaoliang; Zhou, Hao; Arnott, W. P.; Meyer, Marit E.; Taylor, Selwyn; Firouzkouhi, Hatef; Moosmüller, Hans; Chow, Judith C.; Watson, John G.

doi:10.1016/j.firesaf.2020.102977

Cited by 26 publications

(15 citation statements)

References 28 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Coincidence errors lead to inaccurate size and concentration measurements [118,119]. This problem can be partially overcome by combining single particle counting with photometry as implemented in the DustTrak DRX (TSI Inc., Shoreview, MN, USA), which measures size-segregated concentrations up to 400 mg/m 3 [53,120]. The light scattering signal depends not only on particle size, but also on particle refractive index and shape.…”

Section: Optical Particle Sizingmentioning

confidence: 99%

Review of Respirable Coal Mine Dust Characterization for Mass Concentration, Size Distribution and Chemical Composition

et al. 2021

Self Cite

View full text Add to dashboard Cite

Respirable coal mine dust (RCMD) exposure is associated with black lung and silicosis diseases in underground miners. Although only RCMD mass and silica concentrations are regulated, it is possible that particle size, surface area, and other chemical constituents also contribute to its adverse health effects. This review summarizes measurement technologies for RCMD mass concentrations, morphology, size distributions, and chemical compositions, with examples from published efforts where these methods have been applied. Some state-of-the-art technologies presented in this paper have not been certified as intrinsically safe, and caution should be exerted for their use in explosive environments. RCMD mass concentrations are most often obtained by filter sampling followed by gravimetric analysis, but recent requirements for real-time monitoring by continuous personal dust monitors (CPDM) enable quicker exposure risk assessments. Emerging low-cost photometers provide an opportunity for a wider deployment of real-time exposure assessment. Particle size distributions can be determined by microscopy, cascade impactors, aerodynamic spectrometers, optical particle counters, and electrical mobility analyzers, each with unique advantages and limitations. Different filter media are required to collect integrated samples over working shifts for comprehensive chemical analysis. Teflon membrane filters are used for mass by gravimetry, elements by energy dispersive X-ray, rare-earth elements by inductively coupled plasma-mass spectrometry and mineralogy by X-ray diffraction. Quartz fiber filters are analyzed for organic, elemental, and brown carbon by thermal/optical methods and non-polar organics by thermal desorption-gas chromatography-mass spectrometry. Polycarbonate-membrane filters are analyzed for morphology and elements by scanning electron microscopy (SEM) with energy dispersive X-ray, and quartz content by Fourier-transform infrared spectroscopy and Raman spectroscopy.

show abstract

Section: Optical Particle Sizingmentioning

confidence: 99%

Review of Respirable Coal Mine Dust Characterization for Mass Concentration, Size Distribution and Chemical Composition

et al. 2021

Self Cite

View full text Add to dashboard Cite

show abstract

“…5B), the comparison had a lower R 2 value (0.79) and higher RSME and MAE values (24.3 and 8.0 µg cm -3 , respectively). Although this comparison was low, previous studies have shown that the OPS and DustTrak measure similar PM10 values, under laboratory conditions (Wang et al, 2020) The PM concentration for sizes PM10, PM4, PM2.5, and PM1 were compared between the Grimm 11-D and DustTrak; there were 671 parallel hours. The R 2 values ranged from 0.63 (for PM10; values ranged from 5.3 µg cm -3 to 10.6 µg cm -3 , and the MAE values ranged from 3.3 µg cm -3 to 6.6 µg cm -3 .…”

Section: Intercomparison Of Aerosol Instruments Using Atmospheric Particlesmentioning

confidence: 95%

“…In the operation of the OPS, the particle density is assumed as 1 g cm -3 , and no information on the reflective index is added, as there is very limited knowledge of the atmospheric particle chemical and mineralogical composition in this region (Gill et al, 2000; and, therefore, no way to correctly capture the particles' density or refractive index, which are needed to convert the optical concentration to aerodynamic sizes. The OPS has been used previously in many laboratory settings (Ardon-Dryer et al, 2015;Yamada et al, 2015;Hsiao et al, 2016) and indoor experiments (Mølgaard et al, 2015;Maragkidou et al, 2018;Wang et al, 2020). Several studies that examined the performance of the OPS under diverse laboratory conditions have found it to be comparable with various reference units (Ardon-Dryer et al, 2015;Vasilatou et al, 2021).…”

Section: Instruments Used In the Aerosol Measurements Unitmentioning

confidence: 99%

“…The DustTrak is calibrated by the manufacture using Arizona Road Dust/ISO 12103-1, and the default calibration factor ("Factory Cal") of 1.0 was used (TSI Inc., 2019). The DustTrak DRX (and previous versions) have been widely used in numerous studies (Holstius et al, 2014;Wang et al, 2020;Javed and Guo, 2021), mainly for monitoring outdoor PM due to its sensitivity to a diverse range of aerosols, fast response time, and high temporal resolution (Rivas et al, 2017). While some studies have reported high correlations of PM values between the DustTrak and a reference method (McNamara et al, 2011;Viana et al, 2015), others have found large differences between the two (Holstius et al, 2014;Javed and Guo, 2021).…”

Section: Instruments Used In the Aerosol Measurements Unitmentioning

confidence: 99%

“…The three instruments used in AEROS (Grimm 11-D, OPS, and DustTrak) have been found to perform similarly to reference instruments (Viana et al, 2015;Masic et al, 2020;Vasilatou et al, 2021) and to one another (Crilley et al, 2018;Wang et al, 2020); some studies have even used them as reference instruments (Mølgaard et al, 2015;Crilley et al, 2018;. The rationale for using these three instruments is the overlap in measurements between them.…”

Section: Instruments Used In the Aerosol Measurements Unitmentioning

confidence: 99%

See 2 more Smart Citations

The Aerosol Research Observation Station (AEROS)

Ardon‐Dryer

Kelley

Xia

et al. 2021

Preprint

View full text Add to dashboard Cite

Abstract. Information on atmospheric particles’ concentration and sizes are important for environmental and human health reasons. Air quality monitor stations (AQMSs) for measuring Particulate Matter (PM) concentrations are found across the United States, but only three AQMSs measure PM2.5 concentrations (particles with an aerodynamic diameter of < 2.5 μm) in the Southern High Plains of West Texas (area ≥ 1.8 × 105 km2). This area is prone to many dust events (~21 per year), yet no information is available on other PM sizes, total particle concentration, or size distribution during these events. The Aerosol Research Observation Station (AEROS) was designed to continuously measure these particles’ concentrations to better understand the impact of dust events on local air quality. The AEROS aerosol measurements unit features a temperature-controlled shed with a dedicated inlet and custom-built dryer for each of the three aerosol instruments used. This article provides a description of AEROS as well as an intercomparison of the different instruments using laboratory and atmospheric particles, which shows that the instruments used provided similar concentration measurements. Measurement with AEROS can distinguish between various pollution events (natural dust events vs anthropogenic haze) to improve knowledge of the air quality in this region.

show abstract

Cascading Photoelectric Detecting and Chemiresistive Gas‐Sensing Properties of Pb₅S₂I₆ Nanowire Mesh for Multi‐Factor Accurate Fire Alarm

et al. 2022

View full text Add to dashboard Cite

Accurate fire warning is very important for people's life and property safety. The most commonly used fire alarm is based on the detection of a single factor of gases, smoke particles, or temperature, which easily causes false alarm due to complex environmental conditions. A facile multi‐factor route for fabricating an accurate analog fire alarm using a Pb5S2I6 nanowire mesh based on its photoelectric and gas‐sensing dual function is presented. The Pb5S2I6 nanowire mesh presents excellent photoelectric detection capabilities and is sensitive to ppm‐level NO2 at room temperature. Under the “two‐step verification” circuit of light and gas factors, the bimodal simulation fire alarm based on this Pb5S2I6 nanowire mesh can resist the interference of complex environmental factors and effectively reduce the false alarm rate.

show abstract

Evaluation of gas and particle sensors for detecting spacecraft-relevant fire emissions

Cited by 26 publications

References 28 publications

Review of Respirable Coal Mine Dust Characterization for Mass Concentration, Size Distribution and Chemical Composition

Review of Respirable Coal Mine Dust Characterization for Mass Concentration, Size Distribution and Chemical Composition

The Aerosol Research Observation Station (AEROS)

Cascading Photoelectric Detecting and Chemiresistive Gas‐Sensing Properties of Pb₅S₂I₆ Nanowire Mesh for Multi‐Factor Accurate Fire Alarm

Contact Info

Product

Resources

About

Evaluation of gas and particle sensors for detecting spacecraft-relevant fire emissions

Cited by 26 publications

References 28 publications

Review of Respirable Coal Mine Dust Characterization for Mass Concentration, Size Distribution and Chemical Composition

Review of Respirable Coal Mine Dust Characterization for Mass Concentration, Size Distribution and Chemical Composition

The Aerosol Research Observation Station (AEROS)

Cascading Photoelectric Detecting and Chemiresistive Gas‐Sensing Properties of Pb5S2I6 Nanowire Mesh for Multi‐Factor Accurate Fire Alarm

Contact Info

Product

Resources

About

Cascading Photoelectric Detecting and Chemiresistive Gas‐Sensing Properties of Pb₅S₂I₆ Nanowire Mesh for Multi‐Factor Accurate Fire Alarm