Environmental Air Quality Monitoring

Air-quality standards are becoming more stringent, while monitoring strategies increasingly combine reference measurements, modelling and complementary measurement approaches. Higher spatial and temporal resolution is becoming increasingly important to understand local variability, pollution events and changing exposure conditions.

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MARKET CONTEXT

Air-quality monitoring requirements are evolving

Air-quality standards are becoming more stringent, while monitoring strategies increasingly combine reference measurements, modelling and complementary measurement approaches.

In the European Union, Directive (EU) 2024/2881 introduces stricter ambient air-quality limit values to be met by 2030, including an annual PM2.5 limit value of 10 µg/m³, down from the previous 25 µg/m³. Reference methods remain the basis for regulatory assessment, while the framework also provides for indicative measurements and modelling as complementary tools.

At the same time, sensor performance is becoming more formally characterized: CEN/TS 17660-2:2024 defines a harmonized protocol for evaluating the performance of particulate-matter sensor systems in ambient air.

Stricter air-quality targets

Lower PM limits increase the importance of measurement uncertainty, stability and calibration.

Denser monitoring

More measurement points improve spatial coverage and help identify local variations that a limited number of fixed stations cannot capture.

More formal sensor evaluation

New standards and test protocols increasingly focus on documented performance rather than sensor price alone.

Limitations commonly associated with low-cost PM sensors

Low-cost optical PM sensors are often associated with measurement limitations linked to humidity, aerosol properties, particle-size discrimination, calibration transferability, drift and unit-to-unit variability. These limitations are not inherent to compact sensing itself. Their importance depends on sensor architecture, environmental control, calibration strategy and manufacturing consistency.

Humidity sensitivity

Hygroscopic particles can absorb water as relative humidity increases, changing their optical response and apparent particle size.

Aerosol dependency

Optical response depends on particle size, shape, density and refractive index. A calibration developed for one aerosol or location may not transfer directly to another.

Particle-size discrimination

PM1, PM2.5 and PM10 estimation depends on how effectively the sensor distinguishes different particle sizes, particularly when coarse particles are present.

Calibration transferability

Calibration improves quantitative performance, but results can depend on aerosol characteristics, environmental conditions and the reference used.

Drift & ageing

Optical contamination, component ageing and environmental exposure can change sensor response over time.

Unit-to-unit consistency

Differences between individual sensors become increasingly important when large monitoring networks are deployed.

NextPM was developed specifically to address several of these constraints at the measurement stage.

How NextPM addresses these measurement constraints

NextPM was developed around several of these known constraints, with design choices intended to improve measurement quality before post-processing and calibration are applied.

Dual-angle optical detection

Provides additional optical information for particle-size discrimination.

Active humidity management

Reduces the influence of hygroscopic particle growth before optical measurement.

Five particle-size bins

Provides additional information on particle-size distribution from 0.3 to 10 µm.

NextPM internal architecture

Long-term operation

Mechanical and airflow design features are intended to reduce contamination during long-term operation.

Calibration options

Different levels of calibration and verification are available depending on the application.

EVIDENCE

Independent evaluations and published performance data

NextPM has been evaluated in laboratory and field conditions by independent organizations and research teams.

South Coast AQMD — AQ-SPEC

AQ-SPEC

Independent field evaluation under ambient air conditions.

View AQ-SPEC evaluation

Scientific publications

Peer-reviewed studies using or evaluating NextPM under different operating conditions.

View scientific publications

Comparative performance data

Published data and third-party evaluations compared across key sensor performance criteria.

View performance comparison

Test conditions, references and methodology are provided with each dataset.

Increasing spatial and temporal coverage with sensor networks

Reference monitoring stations remain essential for highly characterized measurements, regulatory assessment and long-term traceability.

Their cost, infrastructure and operating requirements nevertheless limit the number of locations that can realistically be monitored with reference instrumentation alone.

Higher-performance compact sensors such as NextPM provide a complementary approach: their measurement performance can be characterized and calibrated while their cost, size and integration format allow much denser deployment. This makes it possible to increase spatial and temporal resolution without requiring reference instrumentation at every measurement point.

Reference measurements remain important for characterization and calibration strategy. They can be used to adjust and interpret sensor-network data according to local aerosol characteristics and operating conditions, rather than simply correcting poor-quality measurements after deployment.

Reference monitoring

  • Regulatory assessment
  • Highly characterized measurement
  • Traceability
  • Calibration anchor

Higher-performance sensor network

  • More measurement points
  • Continuous observations
  • Higher spatial resolution
  • Higher temporal resolution

→ A denser and better-characterized monitoring network

Network densification

Increase the number of measurement points without deploying reference instrumentation at every location.

Hotspot detection

Identify spatial variations and local sources that may remain invisible between fixed monitoring stations.

Temporal resolution

Observe pollution events and short-term variations continuously rather than through isolated measurements.

Data comparability

Use a consistent sensing architecture across multiple locations and interpret results against reference measurements, calibration data and known operating conditions.

Sensor-network performance still depends on sensor quality, calibration strategy, aerosol characteristics, siting and long-term QA/QC.

ENGINEERING SUPPORT

Designing an air-quality monitoring system?

Sensor performance is only one part of the final measurement. Sampling, airflow, inlet design, enclosure, electronics, thermal conditions, communication, calibration strategy and long-term verification can all influence the quality of the data produced by the final system. TERA Sensor can support system design and integration, while TERA Tronics can extend the project through prototyping, industrialization and manufacturing.

Measurement need
Architecture TERA Sensor
Integration TERA Sensor
Prototype TERA Sensor + TERA Tronics
Production TERA Sensor + TERA Tronics

FAQ

Yes, when their measurement performance is understood and appropriately characterized. Sensor architecture, environmental control, calibration strategy and manufacturing consistency all influence whether a given sensor is suitable for a specific monitoring application.

No. Regulatory assessment relies on reference-grade methods. PM sensors are generally used as complementary tools — for example under indicative measurement or modelling provisions — to increase spatial and temporal coverage rather than as a direct substitute for reference monitoring.

Hygroscopic particles absorb water as relative humidity increases, which changes their optical size and can lead to overestimated PM concentrations if not addressed. Managing humidity before the optical measurement stage reduces this effect.

Optical sensors respond to particle size, shape, density and refractive index, which vary between aerosol types and locations. A calibration developed for one aerosol may not transfer directly to another without adjustment.

Calibration requirements depend on the application. Factory-calibrated sensors provide standard performance, while applications requiring closer alignment with reference instruments typically use batch-level verification or individual calibration.

Deploying more measurement points than would be feasible with reference instrumentation alone makes it possible to observe local variations, short-term pollution events and areas that would otherwise fall between fixed monitoring stations.

Verification frequency depends on the application, the required data quality and local operating conditions. Periodic performance verification and, where required, co-location with reference instruments help confirm that sensor response has not drifted over time.

Yes. NextPM is designed for OEM integration, and TERA Sensor supports customers on sampling, airflow, electronics, firmware, mechanical integration and calibration strategy for station-level projects.