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Authors:
| Md. Hafizur Rahman | Researcher, HafizLab, Bangladesh |
| Dr. Zohra Khatun | National Institute of Laboratory Medicine and Referral Centre |
| M. Naderuzzaman | Department of Computer Science and Engineering, Sonargaon University, Dhaka, Bangladesh |
Index Terms:
IoT, Clinical Laboratory, ESP32, Temperature, Humidity, Air, AnalysisAbstract:
Clinical laboratories require accurate and continuous environmental monitoring to ensure the integrity of biological samples, reagents, and laboratory instruments. Environmental deviations, especially in temperature and air quality, can compromise test accuracy and violate regulatory standards such as ISO 15189. This paper presents the design and development of a smart IoT-based environmental monitoring system tailored for clinical lab environments. The system focuses on real-time monitoring of laboratory freezer temperature, ambient room temperature, humidity, and air quality. It utilizes ESP32 microcontrollers integrated with DS18B20 temperature sensors, DHT11 temperature and humidity sensors, and MQ-135 gas sensors to provide comprehensive environmental surveillance. Data is transmitted via Wi-Fi to a cloud-based dashboard, offering remote access, historical data logging, and customizable alert mechanisms for threshold breaches. To optimize energy consumption, the system incorporates power-efficient features such as deep sleep modes and adaptive sampling intervals. The prototype demonstrates consistent and accurate performance in a working laboratory setting. By offering real-time insights and automated alerts, the system minimizes the risks associated with manual monitoring and enhances compliance readiness. The proposed solution is low-cost, modular, and scalable, making it suitable for deployment in both large and resource-limited clinical laboratories.Conclusion:
This research demonstrates the feasibility and effectiveness of a smart, IoT-based environmental monitoring system tailored for clinical laboratory settings. By integrating multiple low-cost sensors—including temperature, humidity, and air quality modules—with an ESP32 microcontroller and a custom cloud-based dashboard, the system provides real-time data acquisition, visualization, and alerting capabilities. The proposed architecture not only helps maintain the integrity of biological samples and reagents but also supports regulatory compliance such as ISO 15189:2022 standards. Furthermore, the implementation of power-efficient firmware and cost-effective components makes the system highly scalable and suitable for long-term deployment. The cloud integration using PHP (CodeIgniter) and MySQL ensures secure data storage, accessibility, and analysis, while SMS and email alerts enhance timely response to environmental deviations. Future enhancements may involve incorporating machine learning algorithms for predictive alerting and integrating the system with Laboratory Information Management Systems (LIMS) to achieve complete automation in quality monitoring and documentation.License:
Articles published in OAJEA are licensed under a Creative Commons Attribution 4.0 International License.Cite This Paper:
Md. Hafizur Rahman,Dr. Zohra Khatun, M.Naderuzzaman, “A Smart IoT-Based Environmental Monitoring System for Clinical Labs: Focus on Temperature, Humidity and Air Quality”, Open Access Journal on Engineering Applications (OAJEA), Volume No. 01, Issue No. 01, Page 14-17, July, 2025. https://oajea.hafizlab.com/article/01-01-002Reference:
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[3] International Organization for Standardization. ISO 15189:2022—Medical laboratories—Requirements for quality and competence. ISO, Geneva, Switzerland, 2022.
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[5] R. M. Pereira et al. "A review of SCADA systems and IoT in industrial automation." Journal of Industrial Information Integration, vol. 20, pp. 100–174, 2020.
[6] Md. Hafizur Rahman, M. Naderuzzaman. "A Comprehensive Review of M2M Communication Protocols." Open Access Journal on Engineering Applications (OAJEA), vol. 1, no. 1, pp. 1–13, July 2025. Available: https://oajea.hafizlab.com/article/01-01-001
[7] Md. Hafizur Rahman, Md. Masud Reza, Rebina Ferdous, Naderuzzaman, M. A. Kashem. "Development of a IoT Based Thermologger for Real-Time Temperature Monitoring." Internet of Things and Cloud Computing, vol. 13, no. 2, 2025. https://doi.org/10.11648/j.iotcc.20251302.11
[8] M. H. Rahman, M. Naderuzzaman, M. A. Kashem, B. M. Salahuddin, Z. Mahmud. "Comparative Study: Performance of MVC Frameworks on RDBMS." International Journal of Information Technology and Computer Science (IJITCS), vol. 16, no. 1, pp. 26–34, 2024. https://doi.org/10.5815/ijitcs.2024.01.03
[9] Rahman, Md Hafizur, Faisal Bin Al Abid, M. Naderuzzaman, Md Arifur Rahman, Md Masud Reza. "Optimizing and Enhancing Performance of MVC Architecture based on Data Clustering Technique." International Journal of Computer Applications, vol. 134, no. 12, pp. 42–46, 2016. https://doi.org/8887.10.5120/ijca2016908099
[10] Olaiya, B.C., Aliyu, S., Obeagu, E.I. et al. "Sustainable building practices for modern clinical laboratories." Discover Civil Engineering, vol. 2, p. 74, 2025. https://doi.org/10.1007/s44290-025-00232-w
Journal Information
| Frequency: Quarterly |
| Submission to First Decision: 7 days |
| Submission to Acceptance: 30 days |
| Accept to Publish: 15 days |
| Article Processing Charges (APCs): None |
