{"title":"Air Quality Regulatory of Primary Care Clinics System Designed with IoT Using the Node-RED","authors":"Ali Sinan Cabuk","doi":"10.1007/s11270-025-08020-z","DOIUrl":null,"url":null,"abstract":"<div><p>The importance of air quality, particularly in indoor environments such as primary care clinics and hospitals, has gained increased recognition due to the COVID-19 pandemic. Indoor air quality directly affects the health of both patients and healthcare professionals, with poor air quality contributing to the spread of airborne diseases, respiratory infections, and allergic reactions. Despite the increasing need for effective air quality regulation in healthcare settings, many existing systems are costly, complex, and difficult to adapt to various healthcare facilities. This study aims to address these challenges by proposing a low-cost air monitoring and regulation system tailored for primary care clinics. The system integrates particulate matter (PM), Carbon Monoxide (CO), and Nitrogen Dioxide (NO<sub>2</sub>) sensors with an IoT-based analysis system, utilizing a Raspberry Pi and an open-source Node-RED platform. The system also incorporates an ionizer and linear motor to improve air quality. Data from both indoor and outdoor air quality measurements, including air quality monitoring station data from Kağıthane, Istanbul, were used in this study. The proposed system ensures fresh air access for both patients and healthcare professionals by adjusting ventilation based on real-time air quality and temperature measurements. Furthermore, the open-source nature of the system allows users to monitor all data remotely via smartphones, tablets, or PCs, offering a cost-effective and user-friendly solution.</p><h3>Graphical Abstract</h3>\n<div><figure><div><div><picture><source><img></source></picture></div></div></figure></div></div>","PeriodicalId":808,"journal":{"name":"Water, Air, & Soil Pollution","volume":"236 6","pages":""},"PeriodicalIF":3.8000,"publicationDate":"2025-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s11270-025-08020-z.pdf","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Water, Air, & Soil Pollution","FirstCategoryId":"6","ListUrlMain":"https://link.springer.com/article/10.1007/s11270-025-08020-z","RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
引用次数: 0
Abstract
The importance of air quality, particularly in indoor environments such as primary care clinics and hospitals, has gained increased recognition due to the COVID-19 pandemic. Indoor air quality directly affects the health of both patients and healthcare professionals, with poor air quality contributing to the spread of airborne diseases, respiratory infections, and allergic reactions. Despite the increasing need for effective air quality regulation in healthcare settings, many existing systems are costly, complex, and difficult to adapt to various healthcare facilities. This study aims to address these challenges by proposing a low-cost air monitoring and regulation system tailored for primary care clinics. The system integrates particulate matter (PM), Carbon Monoxide (CO), and Nitrogen Dioxide (NO2) sensors with an IoT-based analysis system, utilizing a Raspberry Pi and an open-source Node-RED platform. The system also incorporates an ionizer and linear motor to improve air quality. Data from both indoor and outdoor air quality measurements, including air quality monitoring station data from Kağıthane, Istanbul, were used in this study. The proposed system ensures fresh air access for both patients and healthcare professionals by adjusting ventilation based on real-time air quality and temperature measurements. Furthermore, the open-source nature of the system allows users to monitor all data remotely via smartphones, tablets, or PCs, offering a cost-effective and user-friendly solution.
期刊介绍：
Water, Air, & Soil Pollution is an international, interdisciplinary journal on all aspects of pollution and solutions to pollution in the biosphere. This includes chemical, physical and biological processes affecting flora, fauna, water, air and soil in relation to environmental pollution. Because of its scope, the subject areas are diverse and include all aspects of pollution sources, transport, deposition, accumulation, acid precipitation, atmospheric pollution, metals, aquatic pollution including marine pollution and ground water, waste water, pesticides, soil pollution, sewage, sediment pollution, forestry pollution, effects of pollutants on humans, vegetation, fish, aquatic species, micro-organisms, and animals, environmental and molecular toxicology applied to pollution research, biosensors, global and climate change, ecological implications of pollution and pollution models. Water, Air, & Soil Pollution also publishes manuscripts on novel methods used in the study of environmental pollutants, environmental toxicology, environmental biology, novel environmental engineering related to pollution, biodiversity as influenced by pollution, novel environmental biotechnology as applied to pollution (e.g. bioremediation), environmental modelling and biorestoration of polluted environments.
Articles should not be submitted that are of local interest only and do not advance international knowledge in environmental pollution and solutions to pollution. Articles that simply replicate known knowledge or techniques while researching a local pollution problem will normally be rejected without review. Submitted articles must have up-to-date references, employ the correct experimental replication and statistical analysis, where needed and contain a significant contribution to new knowledge. The publishing and editorial team sincerely appreciate your cooperation.
Water, Air, & Soil Pollution publishes research papers; review articles; mini-reviews; and book reviews.
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