Published 2025-10-08
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Artículos

CO₂ Measurement for Indoor Air Quality Improvement: A Literature Review

DOI: https://doi.org/10.22490/ECBTI.9981
John Barco Jiménez Universidad Nacional Abierta y a Distancia
Sixto Campaña Universidad Nacional Abierta y a Distancia

Maintaining good indoor air quality is vital to health and safety in clinical laboratories, as it involves protecting staff and ensuring the accuracy of research. The COVID-19 pandemic demonstrated the importance of preventing the spread of airborne diseases. CO₂ is a key indicator in this context: its levels show whether ventilation is working properly and whether spaces are overcrowded. High concentrations often reflect poor ventilation, which increases the risk of respiratory disease transmission. Despite technological advances, there is a lack of studies focused on the use of CO₂ monitoring and intelligent ventilation in clinical laboratories; Most research focuses on homes or commercial buildings, whose requirements are less stringent. Tools such as non-dispersive infrared (NDIR) sensors and AI models, e.g. long-term memory networks (LSTMs) or Random Forest algorithms, can predict air quality and optimize ventilation. However, its use in clinical settings remains limited. To delve deeper into this aspect, this review examines sensor technologies, predictive models, and human-environment interaction. Articles from the Scopus and IEEE databases published between 2020 and 2025 were collected, selecting 41 for detailed analysis under specific criteria. The findings highlight the need for adaptive systems that consider both environmental data and human behavior. Such systems can lead to safer, more efficient air quality management suitable for clinical settings, where reliability and resilience are essential.

keywords: CO2 Monitoring, air quality., building occupancy., risk prevention, environmental health, clinical laboratories
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How to Cite

Barco Jiménez, J., & Campaña, S. (2025). CO₂ Measurement for Indoor Air Quality Improvement: A Literature Review. Documentos De Trabajo ECBTI, 5(1). https://doi.org/10.22490/ECBTI.9981
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