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Recent Trends in Air Quality Sensing
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Recent Trends in Air Quality Sensing

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Chemical Sensors".

Deadline for manuscript submissions: 20 June 2025 | Viewed by 9766

Special Issue Editors

Dr. Monika Maciejewska

E-Mail Website
Guest Editor
Faculty of Environmental Engineering, Wroclaw University of Science and Technology, 50-377 Wrocław, Poland
Interests: multivariate data analysis; pattern recognition; machine learning; air quality; especially indoor air quality
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Andrzej Szczurek

E-Mail Website
Guest Editor
Faculty of Environmental Engineering, Wrocław University of Science and Technology, 50-370 Wrocław, Poland
Interests: methods and techniques of air pollutants measurement; gas sensors; multisensor systems; e-nose; indoor air quality; air pollution; mobile sensing platforms

Special Issue Information

Dear Colleagues,

Air quality affects all animate and inanimate nature that constitutes the environment for human life. It also affects the human condition. To ensure good air quality, it is necessary to obtain the relevant information and make it available.

Humans are able to evaluate air quality on their own using their own senses. However, this assessment is subjective and selective. Its scope is limited by human sensory capabilities.

In this situation, measurement technology, particularly sensor technology, comes to the rescue. New sensors are being developed to measure the various physical and chemical quantities that characterise air. These sensors generally have diverse measuring capabilities—small size, relatively low price, and ready for integration. Due to these characteristics, they can be components of advanced measurement systems that make it possible to determine air quality comprehensively, continuously, and in many locations simultaneously.

Data from such systems are crucial for, among other things: 1) assessment and control of air quality in different types of environments (outdoor, indoor, working environment), 2) development of new air quality indicators, 3) construction and verification of mathematical models that describe and predict air quality, and 4) development and validation of statistical models linking air quality perception and instrumental measurement results. The development of sensor systems in conjunction with these elements contributes to new trends in air quality sensing.

We invite researchers working on any of the above topics as well as on others related to air quality sensing to share their findings in this Special Issue.

Dr. Monika Maciejewska
Prof. Dr. Andrzej Szczurek
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

  • air quality sensors
  • air quality indicators
  • methods to measure air quality
  • air quality modeling
  • human perception of air quality
  • air quality in various environments

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Published Papers (4 papers)

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Research

23 pages, 24947 KiB  
Article
Quality Assessment and Application Scenario Analysis of AGRI Land Aerosol Product from the Geostationary Satellite Fengyun-4B in China
by Nan Wang, Bingqian Li, Zhili Jin and Wei Wang
Sensors 2024, 24(16), 5309; https://doi.org/10.3390/s24165309 - 16 Aug 2024
Cited by 1 | Viewed by 602
Abstract
The Advanced Geostationary Radiation Imager (AGRI) sensor on board the geostationary satellite Fengyun-4B (FY-4B) is capable of capturing particles in different phases in the atmospheric environment and acquiring aerosol observation data with high spatial and temporal resolution. To understand the quality of the [...] Read more.
The Advanced Geostationary Radiation Imager (AGRI) sensor on board the geostationary satellite Fengyun-4B (FY-4B) is capable of capturing particles in different phases in the atmospheric environment and acquiring aerosol observation data with high spatial and temporal resolution. To understand the quality of the Land Aerosol (LDA) product of AGRI and its application prospects, we conducted a comprehensive evaluation of the AGRI LDA AOD. Using the 550 nm AGRI LDA AOD (550 nm) of nearly 1 year (1 October 2022 to 30 September 2023) to compare with the Aerosol Robotic Network (AERONET), MODIS MAIAC, and Himawari-9/AHI AODs. Results show the erratic algorithmic performance of AGRI LDA AOD, the correlation coefficient (R), mean error (Bias), root mean square error (RMSE), and the percentage of data with errors falling within the expected error envelope of ±(0.05+0.15×AODAERONET) (within EE15) of the LDA AOD dataset are 0.55, 0.328, 0.533, and 34%, respectively. The LDA AOD appears to be overestimated easily in the southern and western regions of China and performs poorly in the offshore areas, with an R of 0.43, a Bias of 0.334, a larger RMSE of 0.597, and a global climate observing system fraction (GCOSF) percentage of 15% compared to the inland areas (R = 0.60, Bias = 0.163, RMSE = 0.509, GCOSF = 17%). Future improvements should focus on surface reflectance calculation, water vapor attenuation, and more suitable aerosol model selection to improve the algorithm’s accuracy. Full article
(This article belongs to the Special Issue Recent Trends in Air Quality Sensing)
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22 pages, 1987 KiB  
Article
New Methodology to Evaluate and Optimize Indoor Ventilation Based on Rapid Response Sensors
by María del Mar Durán del Amor, Antonia Baeza Caracena, Francisco Esquembre and Mercedes Llorens Pascual del Riquelme
Sensors 2024, 24(5), 1657; https://doi.org/10.3390/s24051657 - 4 Mar 2024
Cited by 1 | Viewed by 1589
Abstract
The recent pandemic increased attention to the need for appropriated ventilation and good air quality as efficient measures to achieve safe and healthy indoor air. This work provides a novel methodology for continuously evaluating ventilation in public areas using modern rapid response sensors [...] Read more.
The recent pandemic increased attention to the need for appropriated ventilation and good air quality as efficient measures to achieve safe and healthy indoor air. This work provides a novel methodology for continuously evaluating ventilation in public areas using modern rapid response sensors (RRS). This methodology innovatively assesses the ventilation of a space by combining a quantitative estimation of the real air exchange in the space—obtained from CO2 experimental RRS measurements and the characteristics of and activity in the space—and indoor and outdoor RRS measurements of other pollutants, with healthy recommendations from different organisations. The methodology allows space managers to easily evaluate, in a continuous form, the appropriateness of their ventilation strategy, thanks to modern RRS measurements and direct calculations (implemented here in a web app), even in situations of full activity. The methodology improves on the existing standards, which imply the release of tracer gases and expert intervention, and could also be used to set a control system that measures continuously and adapts the ventilation to changes in indoor occupancy and activity, guaranteeing safe and healthy air in an energy-efficient way. Sample public concurrence spaces with different conditions are used to illustrate the methodology. Full article
(This article belongs to the Special Issue Recent Trends in Air Quality Sensing)
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18 pages, 1492 KiB  
Article
Investigation of Indoor Air Quality in Residential Buildings by Measuring CO2 Concentration and a Questionnaire Survey
by Shunichi Hattori, Toshiya Iwamatsu, Teruhisa Miura, Fujio Tsutsumi and Nobuyuki Tanaka
Sensors 2022, 22(19), 7331; https://doi.org/10.3390/s22197331 - 27 Sep 2022
Cited by 13 | Viewed by 3816
Abstract
Indoor air quality (IAQ) in houses is often deteriorated by chemical substances emitted from heating, building materials, or other household goods. Since it is difficult for occupants to recognize air pollution, they rarely understand the actual conditions of the IAQ. An investigation into [...] Read more.
Indoor air quality (IAQ) in houses is often deteriorated by chemical substances emitted from heating, building materials, or other household goods. Since it is difficult for occupants to recognize air pollution, they rarely understand the actual conditions of the IAQ. An investigation into the actual condition of IAQ in houses was therefore conducted in this study. Carbon dioxide (CO2) concentrations in 24 occupied houses was measured, and the results from our analysis showed that the use of combustion heaters increased the concentration of CO2 and led to indoor air pollution. Results indicate that as outdoor temperature decreased, the frequency of ventilation decreased simultaneously, and CO2 concentration increased. Results of the questionnaire survey revealed that the actual IAQ in each house did not match the level of awareness its occupants had regarding ventilation. Along with this difficulty in perceiving air pollution, the lack of knowledge about ventilation systems and the effects of combustion heating may be additional barriers to IAQ awareness. Full article
(This article belongs to the Special Issue Recent Trends in Air Quality Sensing)
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16 pages, 2425 KiB  
Article
The Detection of Activities Occurring Inside Quick Service Restaurants That Influence Air Quality
by Andrzej Szczurek, Andi Azizah and Monika Maciejewska
Sensors 2022, 22(11), 4056; https://doi.org/10.3390/s22114056 - 27 May 2022
Cited by 3 | Viewed by 2598
Abstract
Our attention was focused on the identification of activities affecting air quality, which occur in quick-service restaurants (QSR). The work was based on a measurement study of selected kebab stores in the Polish city of Wrocław. It demonstrated that activities taking place in [...] Read more.
Our attention was focused on the identification of activities affecting air quality, which occur in quick-service restaurants (QSR). The work was based on a measurement study of selected kebab stores in the Polish city of Wrocław. It demonstrated that activities taking place in kebabs altered air quality. The associated changes in air parameters such as temperature, relative humidity, CO2 concentration, and the content of volatile organic compounds could be detected by utilizing a simple, multi-sensor device. In the measurement data, there were identified multidimensional patterns, which proved to be specific for the following categories of activities: Night Hours, Outlet Preparation, Food Preparation, Operation Hours, and Cleaning. Their occurrence was recognized by pattern recognition methods with a true positive rate greater than 99%. We demonstrated that the recognition may be based on measurements performed in various locations within the kebab store. Although patterns of the individual categories of activities largely varied between kebab stores, a similar performance of recognition was achieved for all restaurants. The obtained results entitled us to conclude that it is possible to detect activities of QSR, which influenced air quality, with the application of sensor technique and pattern recognition. The proposed approach may be applied to this type of object in general. Full article
(This article belongs to the Special Issue Recent Trends in Air Quality Sensing)
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