Particulate Matter Sensing in Diesel Engine Systems

Summary

Particulate matter (PM) emissions from diesel engines pose significant health, environmental and regulatory challenges, driving the development of advanced sensing technologies. Central to exhaust after-treatment is the diesel particulate filter (DPF), which traps soot but requires reliable monitoring to ensure integrity and performance. Sensors may be installed upstream of the DPF to gauge engine-out emissions or downstream to detect filter leakage or substrate damage. Key sensing principles include conductometric and resistive measurements, where soot deposition between interdigital electrodes alters electrical properties; microwave transmission through the filter substrate, which varies with soot loading; and model-based approaches that combine sensor signals with algorithms to diagnose filter status in real time. Sensor performance hinges on rapid response, sensitivity to low soot concentrations and stability under fluctuating exhaust conditions. Advances in sensor materials, electrode design and integration with on-board diagnostics (OBD) have enhanced accuracy and enabled compliance with tightening PM limits worldwide. Emerging strategies exploit electrophoretic enhancement of soot capture, thermophoretic effects and optimised operation protocols to reduce detection delay. Taken together, these developments underpin smarter engine control, more effective regeneration strategies and improved air-quality outcomes on urban and interurban transport corridors.

Research from Nature Portfolio

No recent Nature Portfolio content available.

Particulate Matter Sensing in Diesel Engine Systems publication trend

The graph below shows the total number of articles in particulate matter sensing in diesel engine systems across all publications each year (not limited to Nature Index journals).

Technical terms

Particulate Matter (PM): Solid and liquid particles in exhaust, characterised by mass or number concentration.

Diesel Particulate Filter (DPF): A porous ceramic device that captures soot from diesel exhaust to reduce PM emissions.

On-Board Diagnostics (OBD): A system for continuous monitoring of engine and after-treatment performance to meet regulatory requirements.

Conductometric Sensor: A sensor measuring changes in conductance caused by soot deposition between electrodes.

Resistive Soot Sensor: An accumulation-type device in which soot bridges between interdigital electrodes reduce resistance.

Electrophoresis: The motion of charged particles under an electric field, used to enhance soot collection on sensors.

Thermophoresis: Particle movement along temperature gradients, influencing deposition patterns on sensor surfaces.

References

  1. Characteristics of Resistive PM Sensors for Onboard Diagnostics of Diesel Particulate Filter Failure. Sensors (2022).
  2. Comparative Study of Different Methods for Soot Sensing and Filter Monitoring in Diesel Exhausts. Sensors (2017).
  3. Uncertainties in Model-Based Diesel Particulate Filter Diagnostics Using a Soot Sensor. Sensors (2019).
  4. Optimization of soot deposition by high-temperature prepolarization of a resistive particulate matter sensor. Journal of Sensors and Sensor Systems (2020).
  5. Conductometric Soot Sensors: Internally Caused Thermophoresis as an Important Undesired Side Effect. Sensors (2018).
  6. Simulation and Experimental Research on the Charged Characteristics of Particulate Matter in the Sensor under Different Exhaust States. Sensors (2020).

About these summaries

This Nature Research Intelligence Topic summary is created with the cited references and a large language model. We take care to ground generated text with facts, and have systems in place to gain human feedback on the overall quality of the process in line with our AI principles. We strive to create accurate and useful summaries for people unfamiliar with the research topic and that supports this goal. These pages are a beta release and will be updated as we learn how best to help people gain value from a research topic summary.

Nature Strategy Reports
Turn complex research questions into confident strategic decisions 

When you're under pressure to set direction, justify investment, or understand your competitive position, you need more than raw data — you need trusted insights you can act on.

  • Benchmark your performance against global peers using robust, methodologically sound analysis.

  • Combine quantitative metrics with qualitative expert insight to uncover strengths, gaps and emerging opportunities.

  • Gain tailored, decision-ready recommendations aligned to your strategic priorities.

Talk to us to learn more about our data dashboards and bespoke strategy reports.

Nature Masterclasses
Grow research skills, confidence and careers with training built for every stage of the research lifecycle.

Developed with Nature Portfolio journal Editors and internationally renowned experts. Discover three ways to learn:

  • Self-paced, online courses in convenient bite-sized units, covering key skills across scientific writing, publishing, grant writing, data analysis, and more.

  • Expert trainer-led workshops with hands-on exercises and real-time feedback across core research skills, delivered via interactive group sessions.

  • Editor-led workshops combining core principles in writing and publishing, personalised 1:1 feedback from Nature Portfolio Editors and hands-on exercises.

Explore course catalogues and workshop agendas, enquire about the options or request institutional pricing.