2022
DOI: 10.1016/j.sna.2022.113641
|View full text |Cite
|
Sign up to set email alerts
|

Development of a highly sensitive and portable particulate matter SAW sensor and interface electronics

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

0
11
0

Year Published

2022
2022
2024
2024

Publication Types

Select...
6

Relationship

1
5

Authors

Journals

citations
Cited by 14 publications
(11 citation statements)
references
References 21 publications
0
11
0
Order By: Relevance
“…The detailed process of COM modeling has been reported in our previous papers. [24][25][26] Figure 2 shows the simulated results of the COM modeling using the determined structural parameters of two-port SAW delay line. The determined structure provided a small loss of ≈8.2 dB at the center frequency of 284 MHz and a large side lobe of −46.5 dB.…”
Section: Optimal Parameters Considerations and Analytical Comsol Simu...mentioning
confidence: 99%
“…The detailed process of COM modeling has been reported in our previous papers. [24][25][26] Figure 2 shows the simulated results of the COM modeling using the determined structural parameters of two-port SAW delay line. The determined structure provided a small loss of ≈8.2 dB at the center frequency of 284 MHz and a large side lobe of −46.5 dB.…”
Section: Optimal Parameters Considerations and Analytical Comsol Simu...mentioning
confidence: 99%
“…Since then, by depositing different sensitive layers, SAW device-based gas sensors have been developed for detection of H 2 [ 86 ], H 2 S [ 87 , 88 ], NO 2 [ 89 , 90 ], CO 2 [ 89 ], CH 4 [ 91 ], SO 2 [ 92 ], NH 3 [ 93 ], O 3 [ 94 ], O 2 [ 95 ], CO [ 96 ], volatile organic compounds (VOCs) [ 97 , 98 , 99 ], explosives [ 100 , 101 ], etc. In 2022, Singh et al [ 102 ] reported a SAW-based particulate matter (PM2.5) sensor which is wearable and shows a high detection sensitivity. Another important advantage of SAW device-based sensors is that they are passive components with the potential to be interrogated wirelessly.…”
Section: Current Applicationsmentioning
confidence: 99%
“…However, as this method does not directly provide the mass concentration of PM, accurate measurement is impossible. Moreover, the measurement accuracy is easily affected by the PM size, composition, and humidity of the ambient air. , The TEOM method can realize precise measurement of PM mass concentration, but it is generally bulky and expensive and takes a long time for measurement. The β-attenuation method is used for PM mass measurement based on a correlation between the intensity of the β radiation and the deposited PM mass on a filter. This method can provide accurate measurements but is subject to interference error and influenced by the dust composition, particle size distribution, and density . In addition, as it uses a radiometric source to emit β particles, it is expensive and bulky.…”
Section: Introductionmentioning
confidence: 99%
“…Airborne particulate matter has attracted significant attention due to its adverse effects on humans and the environment. The toxicity of PM depends mostly on its size and composition, such as chemical or trace element content, acid and sulfate content, etc. The PM size is often of major importance. PM pollution, especially PM 2.5 particles, which have an aerodynamic diameter smaller than or equal to 2.5 μm (called fine particles), poses a serious threat to human health, as they can penetrate the human respiratory system and cause alveolar inflammation or cardiovascular and cerebrovascular diseases. Besides, PM 2.5 particles can transport bacteria, fungi, and heavy metals, increasing the possibility of instigating and transmitting diseases. Except for health risks, these fine particles can affect the earth’s radiative balance by scattering and absorbing solar radiation and causing reduced visibility. , Therefore, from the point of view of protecting the environment and human health, it is particularly important to monitor the PM 2.5 concentration.…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation