Airborne particulate matter classification and concentration detection based on 3D printed virtual impactor and quartz crystal microbalance sensor

Jiuxuan Zhao; Minliang Liu; Wen Wang; Jin Xie

doi:10.1109/MEMSYS.2016.7421756

Airborne particulate matter classification and concentration detection based on 3D printed virtual impactor and quartz crystal microbalance sensor

Jiuxuan Zhao
, Minliang Liu
, Wen Wang
, Jin Xie

Zhejiang University
Hangzhou Dianzi University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

4 Scopus citations

Abstract

This paper reports a miniature system for detection of airborne particulate matter (PM), which contains a virtual impactor and a quartz crystal microbalance (QCM) resonant sensor. Silicon dioxide powders with diameter in the range from 0.5 to 8 μm are successfully separated by the virtual impactor according to their size. PM concentration in a chamber is measured by the proposed monitoring system and the experimental results show that the resonant frequency of the QCM turns downward linearly with the PM mass loading increasing. The proposed monitoring system can complete measurement of PM concentration of 35 μg/m3 in only 23 seconds.

Original language	English
Title of host publication	MEMS 2016 - 29th IEEE International Conference on Micro Electro Mechanical Systems
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	824-827
Number of pages	4
ISBN (Electronic)	9781509019731
DOIs	https://doi.org/10.1109/MEMSYS.2016.7421756
State	Published - 26 Feb 2016
Externally published	Yes
Event	29th IEEE International Conference on Micro Electro Mechanical Systems, MEMS 2016 - Shanghai, China Duration: 24 Jan 2016 → 28 Jan 2016

Publication series

Name	Proceedings of the IEEE International Conference on Micro Electro Mechanical Systems (MEMS)
Volume	2016-February
ISSN (Print)	1084-6999

Conference

Conference	29th IEEE International Conference on Micro Electro Mechanical Systems, MEMS 2016
Country/Territory	China
City	Shanghai
Period	24/01/16 → 28/01/16

Access to Document

10.1109/MEMSYS.2016.7421756

Cite this

Zhao, J., Liu, M., Wang, W., & Xie, J. (2016). Airborne particulate matter classification and concentration detection based on 3D printed virtual impactor and quartz crystal microbalance sensor. In MEMS 2016 - 29th IEEE International Conference on Micro Electro Mechanical Systems (pp. 824-827). Article 7421756 (Proceedings of the IEEE International Conference on Micro Electro Mechanical Systems (MEMS); Vol. 2016-February). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/MEMSYS.2016.7421756

Zhao, Jiuxuan ; Liu, Minliang ; Wang, Wen et al. / Airborne particulate matter classification and concentration detection based on 3D printed virtual impactor and quartz crystal microbalance sensor. MEMS 2016 - 29th IEEE International Conference on Micro Electro Mechanical Systems. Institute of Electrical and Electronics Engineers Inc., 2016. pp. 824-827 (Proceedings of the IEEE International Conference on Micro Electro Mechanical Systems (MEMS)).

@inproceedings{6bc48ae317814622b265734464b737a1,

title = "Airborne particulate matter classification and concentration detection based on 3D printed virtual impactor and quartz crystal microbalance sensor",

abstract = "This paper reports a miniature system for detection of airborne particulate matter (PM), which contains a virtual impactor and a quartz crystal microbalance (QCM) resonant sensor. Silicon dioxide powders with diameter in the range from 0.5 to 8 μm are successfully separated by the virtual impactor according to their size. PM concentration in a chamber is measured by the proposed monitoring system and the experimental results show that the resonant frequency of the QCM turns downward linearly with the PM mass loading increasing. The proposed monitoring system can complete measurement of PM concentration of 35 μg/m3 in only 23 seconds.",

author = "Jiuxuan Zhao and Minliang Liu and Wen Wang and Jin Xie",

note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 29th IEEE International Conference on Micro Electro Mechanical Systems, MEMS 2016 ; Conference date: 24-01-2016 Through 28-01-2016",

year = "2016",

month = feb,

day = "26",

doi = "10.1109/MEMSYS.2016.7421756",

language = "英语",

series = "Proceedings of the IEEE International Conference on Micro Electro Mechanical Systems (MEMS)",

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Zhao, J, Liu, M, Wang, W & Xie, J 2016, Airborne particulate matter classification and concentration detection based on 3D printed virtual impactor and quartz crystal microbalance sensor. in MEMS 2016 - 29th IEEE International Conference on Micro Electro Mechanical Systems., 7421756, Proceedings of the IEEE International Conference on Micro Electro Mechanical Systems (MEMS), vol. 2016-February, Institute of Electrical and Electronics Engineers Inc., pp. 824-827, 29th IEEE International Conference on Micro Electro Mechanical Systems, MEMS 2016, Shanghai, China, 24/01/16. https://doi.org/10.1109/MEMSYS.2016.7421756

Airborne particulate matter classification and concentration detection based on 3D printed virtual impactor and quartz crystal microbalance sensor. / Zhao, Jiuxuan; Liu, Minliang; Wang, Wen et al.
MEMS 2016 - 29th IEEE International Conference on Micro Electro Mechanical Systems. Institute of Electrical and Electronics Engineers Inc., 2016. p. 824-827 7421756 (Proceedings of the IEEE International Conference on Micro Electro Mechanical Systems (MEMS); Vol. 2016-February).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Airborne particulate matter classification and concentration detection based on 3D printed virtual impactor and quartz crystal microbalance sensor

AU - Zhao, Jiuxuan

AU - Liu, Minliang

AU - Wang, Wen

AU - Xie, Jin

PY - 2016/2/26

Y1 - 2016/2/26

N2 - This paper reports a miniature system for detection of airborne particulate matter (PM), which contains a virtual impactor and a quartz crystal microbalance (QCM) resonant sensor. Silicon dioxide powders with diameter in the range from 0.5 to 8 μm are successfully separated by the virtual impactor according to their size. PM concentration in a chamber is measured by the proposed monitoring system and the experimental results show that the resonant frequency of the QCM turns downward linearly with the PM mass loading increasing. The proposed monitoring system can complete measurement of PM concentration of 35 μg/m3 in only 23 seconds.

AB - This paper reports a miniature system for detection of airborne particulate matter (PM), which contains a virtual impactor and a quartz crystal microbalance (QCM) resonant sensor. Silicon dioxide powders with diameter in the range from 0.5 to 8 μm are successfully separated by the virtual impactor according to their size. PM concentration in a chamber is measured by the proposed monitoring system and the experimental results show that the resonant frequency of the QCM turns downward linearly with the PM mass loading increasing. The proposed monitoring system can complete measurement of PM concentration of 35 μg/m3 in only 23 seconds.

UR - https://www.scopus.com/pages/publications/84971009510

U2 - 10.1109/MEMSYS.2016.7421756

DO - 10.1109/MEMSYS.2016.7421756

M3 - 会议稿件

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T3 - Proceedings of the IEEE International Conference on Micro Electro Mechanical Systems (MEMS)

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BT - MEMS 2016 - 29th IEEE International Conference on Micro Electro Mechanical Systems

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 29th IEEE International Conference on Micro Electro Mechanical Systems, MEMS 2016

Y2 - 24 January 2016 through 28 January 2016

ER -

Zhao J, Liu M, Wang W, Xie J. Airborne particulate matter classification and concentration detection based on 3D printed virtual impactor and quartz crystal microbalance sensor. In MEMS 2016 - 29th IEEE International Conference on Micro Electro Mechanical Systems. Institute of Electrical and Electronics Engineers Inc. 2016. p. 824-827. 7421756. (Proceedings of the IEEE International Conference on Micro Electro Mechanical Systems (MEMS)). doi: 10.1109/MEMSYS.2016.7421756

Airborne particulate matter classification and concentration detection based on 3D printed virtual impactor and quartz crystal microbalance sensor

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