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Updated: May 28, 2025

Additive Manufacturing-Enabled Low-Cost Particle Detector
Published on: March 24, 2023
One-Point Calibration of Low-Cost Sensors for Particulate Air Matter (PM) Concentration Measurement
Luigi Russi1, Paolo Guidorzi1, Giovanni Semprini1
1Department of Industrial Engineering, Alma Mater Studiorum Università di Bologna, Viale Risorgimento 2, 40136 Bologna, Italy.
This study validates low-cost sensors for automotive air quality monitoring. Results show good agreement with high-quality sensors for temperature, humidity, and particle counts, despite humidity
Area of Science:
- Environmental Science
- Sensor Technology
- Automotive Engineering
Background:
- Low-cost sensors are increasingly used in automotive and building applications for environmental monitoring.
- Validating the accuracy of these low-cost sensors remains a significant challenge.
- Widespread deployment requires reliable data for energy control and air quality assessment.
Purpose of the Study:
- To propose and evaluate an innovative approach for verifying measurements from low-cost sensors in automotive applications.
- To compare the performance of ad hoc built low-cost sensor systems against certified, high-quality sensors.
- To analyze the impact of environmental factors and data processing on sensor accuracy.
Main Methods:
- Two independent low-cost sensor systems were deployed to measure various air quality parameters (PM, TVOC, CO2, formaldehyde), temperature, humidity, pressure, air flow, and GPS.
- Low-cost Particulate Matter (PM) sensors were calibrated against standard sensors used by the Emilia-Romagna region's air quality authority (ARPAE).
- Quantitative analysis focused on sensor performance, including time granularity, relative humidity effects, mass conversion from particle counts, and size detection.
Main Results:
- Low-cost sensors demonstrated good agreement with high-quality sensors for air temperature, relative humidity, and particle number concentration.
- Relative humidity significantly impacted sensor performance indicators.
- The study achieved good data quality and consistency among the tested sensors.
Conclusions:
- The proposed in-field comparison method, coupled with appropriate mass conversion techniques, effectively validates low-cost sensor data for automotive applications.
- Low-cost sensors show promise for widespread environmental monitoring, provided their performance, especially concerning humidity, is well-understood and accounted for.
- The findings support the reliable use of low-cost sensors for real-time air quality and energy parameter control in vehicles.
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