The Process and Platform for Predicting PM<sub>2.5</sub> Inhalation and Retention during Exercise
In recent years, people have been increasingly concerned about air quality and pollution since a number of studies have proved that air pollution, especially PM<sub>2.5</sub> (particulate matter), can affect human health drastically. Though the research on air quality prediction has beco...
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2021
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oai:doaj.org-article:994c39b702de45e0a29a3d4a548171932021-11-25T18:51:34ZThe Process and Platform for Predicting PM<sub>2.5</sub> Inhalation and Retention during Exercise10.3390/pr91120262227-9717https://doaj.org/article/994c39b702de45e0a29a3d4a548171932021-11-01T00:00:00Zhttps://www.mdpi.com/2227-9717/9/11/2026https://doaj.org/toc/2227-9717In recent years, people have been increasingly concerned about air quality and pollution since a number of studies have proved that air pollution, especially PM<sub>2.5</sub> (particulate matter), can affect human health drastically. Though the research on air quality prediction has become a mainstream research field, most of the studies focused only on the prediction of urban air quality and pollution. These studies did not predict the actual impact of these pollutants on people. According to the researchers’ best knowledge, the amount of polluted air inhaled by people and the amount of polluted air that remains inside their body are two important factors that affect their health. In order to predict the quantity of PM<sub>2.5</sub> inhaled by people and what they have retained in their body, a process and a platform have been proposed in the current research work. In this research, the experimental process is as follows: (1) First, a personalized PM<sub>2.5</sub> sensor is designed and developed to sense the quantity of PM<sub>2.5</sub> around people. (2) Then, the Bruce protocol is applied to collect the information and calculate the relationship between heart rate and air intake under different activities. (3) The amount of PM<sub>2.5</sub> retained in the body is calculated in this step using the International Commission on Radiological Protection (ICRP) air particle retention formula. (4) Then, a cloud platform is designed to collect people’s heart rate under different activities and PM<sub>2.5</sub> values at respective times. (5) Finally, an APP is developed to show the daily intake of PM<sub>2.5</sub>. The result reveals that the developed app can show a person’s daily PM<sub>2.5</sub> intake and retention in a specific population.Hui-Chin WuAi-Lun YangYue-Shan ChangYu-Hsiang ChangSatheesh AbimannanMDPI AGarticlepredicting processPM<sub>2.5</sub> inhalationretentionPM<sub>2.5</sub>exerciseChemical technologyTP1-1185ChemistryQD1-999ENProcesses, Vol 9, Iss 2026, p 2026 (2021) |
| institution |
DOAJ |
| collection |
DOAJ |
| language |
EN |
| topic |
predicting process PM<sub>2.5</sub> inhalation retention PM<sub>2.5</sub> exercise Chemical technology TP1-1185 Chemistry QD1-999 |
| spellingShingle |
predicting process PM<sub>2.5</sub> inhalation retention PM<sub>2.5</sub> exercise Chemical technology TP1-1185 Chemistry QD1-999 Hui-Chin Wu Ai-Lun Yang Yue-Shan Chang Yu-Hsiang Chang Satheesh Abimannan The Process and Platform for Predicting PM<sub>2.5</sub> Inhalation and Retention during Exercise |
| description |
In recent years, people have been increasingly concerned about air quality and pollution since a number of studies have proved that air pollution, especially PM<sub>2.5</sub> (particulate matter), can affect human health drastically. Though the research on air quality prediction has become a mainstream research field, most of the studies focused only on the prediction of urban air quality and pollution. These studies did not predict the actual impact of these pollutants on people. According to the researchers’ best knowledge, the amount of polluted air inhaled by people and the amount of polluted air that remains inside their body are two important factors that affect their health. In order to predict the quantity of PM<sub>2.5</sub> inhaled by people and what they have retained in their body, a process and a platform have been proposed in the current research work. In this research, the experimental process is as follows: (1) First, a personalized PM<sub>2.5</sub> sensor is designed and developed to sense the quantity of PM<sub>2.5</sub> around people. (2) Then, the Bruce protocol is applied to collect the information and calculate the relationship between heart rate and air intake under different activities. (3) The amount of PM<sub>2.5</sub> retained in the body is calculated in this step using the International Commission on Radiological Protection (ICRP) air particle retention formula. (4) Then, a cloud platform is designed to collect people’s heart rate under different activities and PM<sub>2.5</sub> values at respective times. (5) Finally, an APP is developed to show the daily intake of PM<sub>2.5</sub>. The result reveals that the developed app can show a person’s daily PM<sub>2.5</sub> intake and retention in a specific population. |
| format |
article |
| author |
Hui-Chin Wu Ai-Lun Yang Yue-Shan Chang Yu-Hsiang Chang Satheesh Abimannan |
| author_facet |
Hui-Chin Wu Ai-Lun Yang Yue-Shan Chang Yu-Hsiang Chang Satheesh Abimannan |
| author_sort |
Hui-Chin Wu |
| title |
The Process and Platform for Predicting PM<sub>2.5</sub> Inhalation and Retention during Exercise |
| title_short |
The Process and Platform for Predicting PM<sub>2.5</sub> Inhalation and Retention during Exercise |
| title_full |
The Process and Platform for Predicting PM<sub>2.5</sub> Inhalation and Retention during Exercise |
| title_fullStr |
The Process and Platform for Predicting PM<sub>2.5</sub> Inhalation and Retention during Exercise |
| title_full_unstemmed |
The Process and Platform for Predicting PM<sub>2.5</sub> Inhalation and Retention during Exercise |
| title_sort |
process and platform for predicting pm<sub>2.5</sub> inhalation and retention during exercise |
| publisher |
MDPI AG |
| publishDate |
2021 |
| url |
https://doaj.org/article/994c39b702de45e0a29a3d4a54817193 |
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