Microfluidic and Micromachined/MEMS Devices for Separation, Discrimination and Detection of Airborne Particles for Pollution Monitoring
Most of the microfluidics-related literature describes devices handling liquids, with only a small part dealing with gas-based applications, and a much smaller number of papers are devoted to the separation and/or detection of airborne inorganic particles. This review is dedicated to this rather les...
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| Format: | Article |
| Language: | English |
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MDPI AG
2019-07-01
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| Series: | Micromachines |
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| Online Access: | https://www.mdpi.com/2072-666X/10/7/483 |
| _version_ | 1828771863345496064 |
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| author | Daniel Puiu Poenar |
| author_facet | Daniel Puiu Poenar |
| author_sort | Daniel Puiu Poenar |
| collection | DOAJ |
| description | Most of the microfluidics-related literature describes devices handling liquids, with only a small part dealing with gas-based applications, and a much smaller number of papers are devoted to the separation and/or detection of airborne inorganic particles. This review is dedicated to this rather less known field which has become increasingly important in the last years due to the growing attention devoted to pollution monitoring and air quality assessment. After a brief introduction summarizing the main particulate matter (PM) classes and the need for their study, the paper reviews miniaturized devices and/or systems for separation, detection and quantitative assessment of PM concentration in air with portable and easy-to-use platforms. The PM separation methods are described first, followed by the key detection methods, namely optical (scattering) and electrical. The most important miniaturized reported realizations are analyzed, with special attention given to microfluidic and micromachined or micro-electro-mechanical systems (MEMS) chip-based implementations due to their inherent capability of being integrated in lab-on-chip (LOC) type of smart microsystems with increased functionalities that can be portable and are easy to use. The operating principles and (when available) key performance parameters of such devices are presented and compared, also highlighting their advantages and disadvantages. Finally, the most relevant conclusions are discussed in the last section. |
| first_indexed | 2024-12-11T14:33:16Z |
| format | Article |
| id | doaj.art-536fa0ba4174478ea4c16cff6ff126c5 |
| institution | Directory Open Access Journal |
| issn | 2072-666X |
| language | English |
| last_indexed | 2024-12-11T14:33:16Z |
| publishDate | 2019-07-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Micromachines |
| spelling | doaj.art-536fa0ba4174478ea4c16cff6ff126c52022-12-22T01:02:18ZengMDPI AGMicromachines2072-666X2019-07-0110748310.3390/mi10070483mi10070483Microfluidic and Micromachined/MEMS Devices for Separation, Discrimination and Detection of Airborne Particles for Pollution MonitoringDaniel Puiu Poenar0VALENS Centre for Bio Devices and Signal Analysis, School of Electrical & Electronic Engineering (EEE), Nanyang Technological University (NTU), 50 Nanyang Avenue, Singapore 639978, SingaporeMost of the microfluidics-related literature describes devices handling liquids, with only a small part dealing with gas-based applications, and a much smaller number of papers are devoted to the separation and/or detection of airborne inorganic particles. This review is dedicated to this rather less known field which has become increasingly important in the last years due to the growing attention devoted to pollution monitoring and air quality assessment. After a brief introduction summarizing the main particulate matter (PM) classes and the need for their study, the paper reviews miniaturized devices and/or systems for separation, detection and quantitative assessment of PM concentration in air with portable and easy-to-use platforms. The PM separation methods are described first, followed by the key detection methods, namely optical (scattering) and electrical. The most important miniaturized reported realizations are analyzed, with special attention given to microfluidic and micromachined or micro-electro-mechanical systems (MEMS) chip-based implementations due to their inherent capability of being integrated in lab-on-chip (LOC) type of smart microsystems with increased functionalities that can be portable and are easy to use. The operating principles and (when available) key performance parameters of such devices are presented and compared, also highlighting their advantages and disadvantages. Finally, the most relevant conclusions are discussed in the last section.https://www.mdpi.com/2072-666X/10/7/483particulate matter (PM)airborne inorganic particlesparticle separation, particle detector/sensorimpactor filter (IF)virtual impactor (VI)cascade impactorsgranulometryair quality assessmentmicrofluidics |
| spellingShingle | Daniel Puiu Poenar Microfluidic and Micromachined/MEMS Devices for Separation, Discrimination and Detection of Airborne Particles for Pollution Monitoring Micromachines particulate matter (PM) airborne inorganic particles particle separation, particle detector/sensor impactor filter (IF) virtual impactor (VI) cascade impactors granulometry air quality assessment microfluidics |
| title | Microfluidic and Micromachined/MEMS Devices for Separation, Discrimination and Detection of Airborne Particles for Pollution Monitoring |
| title_full | Microfluidic and Micromachined/MEMS Devices for Separation, Discrimination and Detection of Airborne Particles for Pollution Monitoring |
| title_fullStr | Microfluidic and Micromachined/MEMS Devices for Separation, Discrimination and Detection of Airborne Particles for Pollution Monitoring |
| title_full_unstemmed | Microfluidic and Micromachined/MEMS Devices for Separation, Discrimination and Detection of Airborne Particles for Pollution Monitoring |
| title_short | Microfluidic and Micromachined/MEMS Devices for Separation, Discrimination and Detection of Airborne Particles for Pollution Monitoring |
| title_sort | microfluidic and micromachined mems devices for separation discrimination and detection of airborne particles for pollution monitoring |
| topic | particulate matter (PM) airborne inorganic particles particle separation, particle detector/sensor impactor filter (IF) virtual impactor (VI) cascade impactors granulometry air quality assessment microfluidics |
| url | https://www.mdpi.com/2072-666X/10/7/483 |
| work_keys_str_mv | AT danielpuiupoenar microfluidicandmicromachinedmemsdevicesforseparationdiscriminationanddetectionofairborneparticlesforpollutionmonitoring |