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11 July 2025
Sensors | An Interview with One of the Authors—Mr. Afonso Magalhães Mota

Mr. Afonso Magalhães Mota is one of the authors of a notable paper published in our journal Sensors (ISSN: 1424-8220).

”Implementation of an Internet of Things Architecture to Monitor Indoor Air Quality: A Case Study During Sleep Periods”
by Afonso Mota, Carlos Serôdio, Ana Briga-Sá and Antonio Valente
Sensors 2025, 25(6), 1683; https://doi.org/10.3390/s25061683
Available online: https://www.mdpi.com/1424-8220/25/6/1683

The following is a brief interview with Mr. Mota, in which he shares his insights on the article:

1. Can you briefly introduce your latest research published in Sensors?
My latest research implements an Internet of Things (IoT) architecture for indoor air quality (IAQ) monitoring. We developed an ESP32-C6-based device with ESP-IDF SDK (Software Development Kit) to measure CO₂ and particulate matter (PM) concentrations. The data is transmitted via MQTT to an InfluxDBv2 database for storage and visualization. We also automated Flux queries using Python 3.11 for enhanced data analysis. Our system demonstrates the impact of ventilation—by comparing scenarios where a door is slightly open versus closed during sleep—and highlights the importance of natural ventilation for maintaining healthy IAQ. 

2. What inspired you to focus on this topic?
Indoor air quality is becoming more critical for occupant health and cognitive performance, especially considering how much time people spend indoors. Furthermore, the pandemic underscored the importance of IAQ monitoring in shared spaces. I was motivated to develop an accessible and flexible IAQ monitoring system that can be adapted to different environments, like homes, offices, or schools.

3. What are the most exciting findings or innovations in your study? How do you see your research impacting the field of sensor technology?
The key innovation lies in the integration of low-cost hardware (ESP32-C6) and open-source software (MQTT, InfluxDB, Python) to create a versatile and easily deployable IAQ monitoring system. By automating data analysis with Flux queries, we enabled more detailed insights into IAQ variations. These results pave the way for designing intelligent natural ventilation systems, providing healthier indoor environments and enhanced occupant comfort.

4. Why did you choose Sensors as the journal for your publication, and how has your experience been with the editorial process?
We chose Sensors because it’s an open access, multidisciplinary journal that is well-recognized in the field of sensing and IoT applications. It has a broad audience and focuses on innovative sensor applications (as well as IoT), which made it an ideal place to share our findings. The whole editorial process was supportive, with effective and periodic communication, and the reviewer’s feedback contributed to strengthening the final manuscript.

5. What advice would you offer to early career researchers aiming to publish in Sensors, and would you recommend the journal to your peers?
My advice would be to carefully structure the manuscript, clearly highlight the novelty and real-world relevance, and ensure your data and figures are as clear and transparent as possible. I would recommend Sensors because it offers good visibility, a responsive editorial team, and a straightforward publication methodology that is friendly to early career researchers.

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