Airborne Particle Detection Sensors
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Physical Sensors".
Deadline for manuscript submissions: closed (30 November 2022) | Viewed by 826
Special Issue Editors
Interests: micro/nano biosensors; microfluidic immunoassays
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
We are excited to invite you contribute to this Special Issue of “Sensors” on airborne particle detection sensors. Recent global climate and environmental change has caused natural disasters, such as wildfires and dust storms. Exposure to particulate matter (PM) in the polluted air has been associated with premature mortality and increased heart/lung problems. Inhalation of microbial aerosols, such as fungi, pollen, bacteria, and viruses, can elicit infection, allergic reaction, inflammation, and respiratory diseases. With these globally emerging health concerns, sensors for airborne particle detection are becoming increasingly critical in our society. This issue aims to collect and highlight the latest research on particle sensors and systems that enable accurate air quality monitoring. The topic of this issue is timely, as our society is witnessing an urgent need for these sensors. The purpose of airborne particle detection sensors is to facilitate long-term health studies, technological or regulatory air prolusion mitigation, and real-time hazardous indoor and outdoor environment warnings. We seek the latest and most innovative research in the field of sensing and the measurement of airborne inorganic, organic, or biological particles. You are invited to submit original research papers, theoretical papers, and critical reviews in all aspects of airborne particle sensing. Topics may include, but are not limited to, the following:
- PM2.5 sensors or sensor networks;
- Optical, chemical, or mechanical particle sensors;
- Fundamental theory or models for airborne particle sensing;
- Microbial aerosol sensors;
- Particle number concentration counting;
- Particle size measurement;
- Measurement of combustion-derived particles;
- Remote sensing of airborne particles;
- Artificial intelligence and machine learning for airborne particle monitoring;
- Wearable particle sensors;
- MEMS/NEMS particle sensors;
- Sensor fabrication and materials for particle detection;
- Regulatory issues with air quality monitoring particle sensors;
- New mechanisms for detecting airborne particles;
- Assessing impacts of particle sensors on healthcare.
Prof. Dr. Katsuo Kurabayashi
Dr. Young Geun Park
Guest Editors
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sensors is an international peer-reviewed open access semimonthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- particle detection
- air quality monitoring
- particle counting
- particle size measurement
