Study of size-related sensitivity of surface acoustic wave sensor towards particulate matter sized particles using finite element and experimental methods
Source abstract
Abstract
To investigate the potential of using a surface acoustic wave sensor to measure both particulate matter (PM) concentration and size distribution, a forced-vibration model of a coupled particle–SAW system with interfacial excitation was built using the finite element method. The model shows different behaviors of the coupled vibration between mass loading and elastic loading regimes. The calculation of the frequency change of a 260 MHz SAW perturbed by different sized starch particles in the elastic regime is in agreement with our previous experiment, proving the validity of the model. The impact of different parameters, including the particle size, contact size, and material, on the particle–SAW interaction was investigated for understanding the perturbation mechanism of real particles. Wheat flour and talcum powder particles were measured by SAW experimentally, resulting in positive and negative frequency change, respectively. The experiment shows that SAW has different sensitivities toward particles with different size distributions and morphologies. The size-related sensitivity property of SAW could be used for building an instrument that is capable of monitoring both PM concentration and size distribution.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Smart Materials for Construction · Acoustic Wave Resonator Technologies · Microfluidic and Bio-sensing Technologies
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
College of Mechanical Engineering, Yangzhou University , Yangzhou 225127, China
Funding
National Natural Science Foundation of China
References (32)
Show source-provided references
1. Particulate matter air pollution components and risk for lung cancer10.1016/j.envint.2015.11.007 ↗
2. The mechanisms of air pollution and particulate matter in cardiovascular diseases10.1007/s10741-017-9606-7 ↗
3. Premature mortality attributable to particulate matter in China: Source contributions and responses to reductions10.1021/acs.est.7b03193 ↗
4. Rain pH estimation based on the particulate matter pollutants and wet deposition study10.1016/j.scitotenv.2016.04.066 ↗
5. Particulate matter, air quality and climate: Lessons learned and future needs10.5194/acp-15-8217-2015 ↗
6. A review on the human health impact of airborne particulate matter10.1016/j.envint.2014.10.005 ↗
7. Milano summer particulate matter (PM10) triggers lung inflammation and extra pulmonary adverse events in mice10.1371/journal.pone.0056636 ↗
8. Risks assessment of heavy metals on public health associated with atmospheric exposure to PM2.5 in urban area
9. Ultrafine particles and effects on the body: Review of the literature
10. Spatial and temporal variations of PM10 and particle number concentrations in urban air10.1007/s10661-006-9296-4 ↗
11. Transboundary and local air pollutants in western Japan distinguished on the basis of ratios of metallic elements in size-segregated aerosols10.4209/aaqr.2016.12.0578 ↗
12. Filter processing and gravimetric analysis for suspended particulate matter samples10.1007/s41810-017-0010-4 ↗
13. Measurements of particulate matter concentration by the light scattering method: Optimization of the detection angle10.1016/j.fuproc.2018.06.016 ↗
14. A low-cost particle counter as a realtime fine-particle mass monitor10.1039/c2em30568b ↗
15. An evaluation of some issues regarding the use of aethalometers to measure woodsmoke concentrations10.1016/j.atmosenv.2013.08.026 ↗
16. Airborne engineered nanoparticle mass sensor based on a silicon resonant cantilever10.1016/j.snb.2012.04.003 ↗
17. Time-resolved particulate emissions monitoring of cookstove biomass combustion using a tapered element oscillating microbalance10.1080/00102202.2016.1253564 ↗
18. 2007
19. Electron microscopic study of soot particulate matter emissions from aircraft turbine engines10.1021/es501809b ↗
20. A high-efficiency, low-bias method for extracting particulate matter from filter and impactor substrates10.1016/j.atmosenv.2014.03.042 ↗
21. Black carbon mass size distributions of diesel exhaust and urban aerosols measured using differential mobility analyzer in tandem with aethalometer10.1016/j.atmosenv.2013.07.037 ↗
22. Mass–mobility measurements using a centrifugal particle mass analyzer and differential mobility spectrometer10.1080/02786826.2013.830692 ↗
23. Particle size distributions of particulate emissions from the ferroalloy industry evaluated by electrical low pressure impactor (ELPI)10.1080/15459624.2014.935783 ↗
24. A sensitive new method for the determination of adhesive bonding between a particle and a substrate10.1063/1.335874 ↗
25. A novel particulate matter 2.5 sensor based on surface acoustic wave technology10.3390/app8010082 ↗
26. Mass loading in coupled resonators consisting of SU-8 micropillars fabricated over SAW devices10.1109/jsen.2010.2074193 ↗
27. Resonant frequency characteristics of a SAW device attached to resonating micropillars10.3390/s120403789 ↗
28. A novel method of studying the micro-contact using surface acoustic wave sensor10.1108/sr-10-2015-0162 ↗
29. 1973
30. Studying mechanical microcontacts of fine particles with the quartz crystal microbalance10.1016/j.powtec.2010.06.011 ↗
31. Description of particle size, distribution, and behavior of talc preparations commercially available within the United States10.1097/lbr.0000000000000420 ↗
32. Evaluation of flour particle size distribution by laser diffraction, sieve analysis and near-infrared reflectance spectroscopy10.1006/jcrs.1994.1058 ↗