Review of the Newly Developed, Mobile Optical Sensors for Real-Time Measurement of the Atmospheric Particulate Matter Concentration

Molaie, Sama; Lino, Paolo

doi:10.3390/mi12040416

Cited by 22 publications

(7 citation statements)

References 81 publications

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“…The particle size is then determined from the magnitude of this voltage pulse using a calibration curve. Several studies have been conducted to evaluate the performance of low-cost sensors in laboratory and field settings; however, the results have been somewhat mixed depending on the type of sensor used [ 3 , 11 , 20 , 21 , 22 , 23 ].…”

Section: Introductionmentioning

confidence: 99%

Laboratory Evaluation of Low-Cost Optical Particle Counters for Environmental and Occupational Exposures

Sousan

Regmi

Park

2021

Sensors

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Low-cost optical particle counters effectively measure particulate matter (PM) mass concentrations once calibrated. Sensor calibration can be established by deriving a linear regression model by performing side-by-side measurements with a reference instrument. However, calibration differences between environmental and occupational settings have not been demonstrated. This study evaluated four commercially available, low-cost PM sensors (OPC-N3, SPS30, AirBeam2, and PMS A003) in both settings. The mass concentrations of three aerosols (salt, Arizona road dust, and Poly-alpha-olefin-4 oil) were measured and compared with a reference instrument. OPC-N3 and SPS30 were highly correlated (r = 0.99) with the reference instrument for all aerosol types in environmental settings. In occupational settings, SPS30, AirBeam2, and PMS A003 exhibited high correlation (>0.96), but the OPC-N3 correlation varied (r = 0.88–1.00). Response significantly (p < 0.001) varied between environmental and occupational settings for most particle sizes and aerosol types. Biases varied by particle size and aerosol type. SPS30 and OPC-N3 exhibited low bias for environmental settings, but all of the sensors showed a high bias for occupational settings. For intra-instrumental precision, SPS30 exhibited high precision for salt for both settings compared to the other low-cost sensors and aerosol types. These findings suggest that SPS30 and OPC-N3 can provide a reasonable estimate of PM mass concentrations if calibrated differently for environmental and occupational settings using site-specific calibration factors.

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Section: Introductionmentioning

confidence: 99%

Laboratory Evaluation of Low-Cost Optical Particle Counters for Environmental and Occupational Exposures

Sousan

Regmi

Park

2021

Sensors

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“…However, most measurements are usually conducted at one angle with a large field of view and assuming that the particle size is directly proportional to the pulse height (Grimm and Eatough, 2009;Morpurgo et al, 2012;Gao et al, 2013). Most low cost sensors (Hagan and Kroll, 2020;Molaie and Lino, 2021 and references therein) consist of a dark chamber, a laser or LED light source and a photodiode. The sampled air flows inside the chamber and particle is illuminated by the laser light.…”

Section: Introductionmentioning

confidence: 99%

Influence of Particle Composition and Size on the Accuracy of Low Cost PM Sensors: Findings From Field Campaigns

Gramsch¹,

Oyola²,

Reyes³

et al. 2021

Front. Environ. Sci.

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In the last decade, many low-cost monitoring sensors and sensor-networks have been used as an alternative air quality assessment method. It is also well known that these low cost monitors have calibration, accuracy and long term variation problems which require various calibration techniques. In this work PM2.5 and PM10 low cost sensors (Plantower and Nova Fitness) have been tested in five cities under different environmental conditions and compared with collocated standard instruments. Simultaneously, particle composition (organic and black carbon, sulfate, nitrate, chloride, ammonium, and chemical elements) has been measured in the same places to study its influence on the accuracy. The results show a very large variability in the correlation between the low cost sensors and collocated standard instruments depending on the composition and size of particles present in the site. The PM10 correlation coefficient (R2) between the low cost sensor and a collocated regulatory instrument varied from to 0.95 in Temuco to 0.04 in Los Caleos. PM2.5 correlation varied from 0.97 to 0.68 in the same places. It was found that sites that had higher proportion of large particles had lower correlation between the low cost sensor and the regulatory instrument. Sites that had higher relative concentration of organic and black carbon had better correlation because these species are mostly below the 1 μm size range. Sites that had higher sulfate, nitrate or SiO2 concentrations in PM2.5 or PM10 had low correlation most likely because these particles have a scattering coefficients that depends on its size or composition, thus they can be classified incorrectly.

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“…The main methods of particle mass concentration measurement are β-ray method, TEOM method and light scattering method. The light scattering method uses a laser to scatter light with particles and a photodiode to collect the scattered light signal for particle information inversion [4]. The light scattering method is widely used in the field of particle measurement because of its high measurement accuracy.…”

Section: Introductionmentioning

confidence: 99%

Air microfluidic chip design for atmospheric particulate matter detection

Wang

Zhao

Wang

et al. 2023

First International Conference on Spatial Atmospheric Marine Environmental Optics (SAME 2023)

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In recent years, studies on fine particulate matter have shown that high concentrations of particulate matter seriously affect the quality of weather, creating a series of severe weather such as haze and posing a great risk to human health. The results of epidemiological studies suggest that particulate matter is associated with a higher risk of cardiopulmonary mortality and morbidity. Therefore, there is an urgent need to conduct research on particulate matter to solve the human health problems caused by particulate matter pollution. The identification of the compositional characteristics of particulate matter presupposes the separation of particulate matter with different aerodynamic diameters and provides scientific guidance for solving the problem of atmospheric particulate matter pollution. To address this problem, a virtual impactor with a cutting particle size of 1.2 μm is designed in this paper. The influence of key parameters on the performance of the virtual impactor is also discussed. The results show that the proposed virtual impactor has a cutting particle size of 1.2um and a good steepness of the collection efficiency curve. It shows that it can effectively separate atmospheric particulate matter according to particle size and provides a design basis for realizing a low-cost atmospheric particulate matter mass concentration detection instrument. Meanwhile, we design a microfluidic chip for particulate matter detection based on this virtual impactor. The hardware circuit of this microfluidic chip is also designed.

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Review of the Newly Developed, Mobile Optical Sensors for Real-Time Measurement of the Atmospheric Particulate Matter Concentration

Cited by 22 publications

References 81 publications

Laboratory Evaluation of Low-Cost Optical Particle Counters for Environmental and Occupational Exposures

Laboratory Evaluation of Low-Cost Optical Particle Counters for Environmental and Occupational Exposures

Influence of Particle Composition and Size on the Accuracy of Low Cost PM Sensors: Findings From Field Campaigns

Air microfluidic chip design for atmospheric particulate matter detection

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