Independent field research provides valuable evidence of how commercially available sensing technology can perform within a complete real-world monitoring system.
The Pondi case study demonstrates how commercially available NDIR sensing technology can support the development of advanced scientific and environmental monitoring instruments.
While laboratory specifications provide important performance data, many engineers and OEM developers also look for evidence that a sensor can be successfully integrated and operated within complete monitoring systems. Peer-reviewed research offers valuable insight into how sensing technologies perform in real-world settings beyond controlled laboratory environments.
One recent example is the Pondi project, an open-source greenhouse gas monitoring platform developed for long-term environmental monitoring. Presented in a peer-reviewed paper published in Biogeosciences, the project demonstrates the integration of Dynament’s Platinum Series N₂O sensor within an autonomous monitoring system.
For OEM manufacturers developing environmental instrumentation, the study provides an independent example of how a commercial NDIR N₂O sensor can be integrated, validated, and deployed under real-world operating conditions.
Contents:
Pondi is an open-source greenhouse gas monitoring platform designed to measure emissions from aquatic and terrestrial environments. Developed by researchers to support long-term field monitoring, the system combines commercially available sensors, autonomous operation, and a compact measurement architecture for extended environmental deployments.
The platform measures three key greenhouse gases:
Pondi can be connected to floating or terrestrial flux chambers, allowing gas concentrations to be continuously monitored over extended periods. The platform was designed for autonomous operation, enabling researchers to collect environmental data for weeks or months with minimal human intervention.
Understanding why N₂O measurement is challenging is essential when developing autonomous environmental monitoring systems.
Unlike more commonly monitored gases such as CO₂ and CH₄, N₂O measurement requires high sensitivity and stability because concentrations are typically much lower and environmental conditions can vary significantly.
Many high-performance greenhouse gas analysers provide excellent sensitivity and precision, but their cost, energy requirements, physical size, and operational complexity can make them challenging to deploy across distributed, long-term monitoring applications. Commercial greenhouse gas analysers can require significant power resources and substantial infrastructure, limiting their suitability for autonomous field deployments.
For the Pondi platform, researchers required a sensing approach capable of supporting:
These requirements necessitated a sensing solution that balanced measurement performance with practical deployment considerations.
The Pondi study provides valuable insight into the factors considered when selecting sensor components for an autonomous greenhouse gas monitoring platform.
According to the authors, important selection criteria included low power consumption, compact dimensions, commercial availability and cost effectiveness. These characteristics were particularly relevant to the development of an autonomous system intended for remote environmental monitoring.
For N₂O measurement, the platform used the Dynament Platinum N₂O sensor, configured for a measurement range of 0 to 1000 ppm.
Key selection factors included:
| Requirement | Dynament Sensor Advantage |
| Autonomous operation | Low power consumption |
| Field deployment | Compact design and suitability for field integration |
| System integration | Commercially available sensor platform |
| Extended monitoring | Stable measurement performance during multi-week field deployments |
| Application confidence | Previous field deployment experience |
These characteristics aligned closely with the design objectives of the Pondi platform, particularly the need for autonomous operation, compact integration, and long-term environmental monitoring.
A key aspect of the Pondi project is how the researchers integrated the sensor into a complete autonomous monitoring platform. The study also considered the potential influence of CO₂ cross-sensitivity on N₂O measurements and applied a correction approach as part of the system-level data processing.
The electronics were housed within a waterproof enclosure positioned above the measurement chamber, while the Dynament N₂O sensor was connected through the chamber using the manufacturer’s housing configuration. This allowed gas from the measurement chamber to reach the sensor while maintaining a sealed measurement environment.
The system used threaded fittings and O-ring seals to maintain airtight connections during long-term outdoor deployment. Importantly, the sensor retained its original housing configuration while becoming part of a wider environmental monitoring architecture.
The sensor was integrated using its manufacturer housing, allowing the researchers to incorporate the sensing device into the wider monitoring architecture without modifying the sensor itself.
The Dynament sensor measures nitrous oxide concentration in parts per million (ppm), which the Pondi platform uses as the foundation for calculating greenhouse gas flux.
During operation, researchers continuously recorded N₂O concentrations within sealed flux chambers and analyzed how gas levels changed over time. These measurements were combined with additional environmental parameters, including chamber volume, surface area, temperature, and relative humidity.
By combining concentration data with these variables, the system converted N₂O measurements into estimates of greenhouse gas emissions and absorption rates.
This workflow demonstrates the role of the sensor as a critical component within a broader analytical system, where accurate and reliable concentration measurements support environmental research and greenhouse gas quantification.
Laboratory testing provided essential validation of the complete sensing platform before deployment. The system was tested using reference N₂O concentrations of 0 ppm, 500 ppm, and 1000 ppm, with the sensor calibrated using a two-point calibration approach based on atmospheric concentration and a 1000 ppm reference point.
The researchers also evaluated measurement performance under temperature and humidity conditions representative of field deployment. These tests assessed the influence of changing environmental conditions on the complete Pondi measurement system and helped validate its performance across the conditions tested.
Following laboratory validation, the Pondi platform was deployed across several environmental monitoring applications, including agricultural ponds, wetlands, and wastewater-related environments where accurate greenhouse gas measurements are required.
During multi-week outdoor deployments, the system operated under changing environmental conditions, including variations in weather, ambient temperature, humidity, and solar exposure. Researchers reported stable N₂O measurements during the multi-week deployments, supporting the suitability of the sensing platform for autonomous chamber-based environmental monitoring applications.
| Validation Metric | Result |
| Measurement range | 0–1000 ppm |
| Mean error | ~4.96% MAPE |
| Outdoor deployment | Successfully demonstrated |
| Temperature compensation | Stable performance demonstrated under tested temperature and humidity conditions |
| Humidity performance | Stable performance demonstrated under tested conditions |
| Multi-week field deployment | Successfully demonstrated |
The Pondi study reported a mean absolute percentage error (MAPE) of approximately 4.96% for N₂O measurements during the validation of the monitoring platform. This result reflects the performance observed under the study conditions and should not be interpreted as a specification for the Dynament sensor itself.
The Pondi project demonstrates how a commercially available NDIR sensor can be integrated into a complete environmental monitoring platform and successfully deployed under real operating conditions.
For OEM manufacturers developing autonomous monitoring systems, the study highlights the importance of selecting sensing technologies that support both measurement performance and practical system design requirements.
| OEM Requirement | Importance |
| Compact sensor integration | Enables smaller and more flexible instrument designs |
| Low power consumption | Supports battery and solar-powered applications |
| Long-term measurement stability | Improves reliability during extended deployments |
| Commercial sensor availability | Reduces development complexity and accelerates product design |
| Simplified system architecture | Helps minimise integration effort and maintenance requirements |
| Scalable deployment | Supports expansion from prototypes to wider monitoring networks |
Beyond laboratory specifications, independent field validation provides valuable evidence of how sensing technology performs when exposed to real deployment challenges.
The successful implementation of the Dynament Platinum N₂O sensor within the Pondi platform demonstrates how a compact, low-power NDIR sensing solution can support the development of reliable autonomous environmental monitoring systems.
Developing an environmental monitoring system requiring reliable N₂O measurement?
Explore Dynament’s Platinum N₂O sensor or contact our engineering team to discuss your application requirements.
The Pondi project provides an independent example of how a commercial NDIR N₂O sensor can be integrated into an autonomous greenhouse gas monitoring platform and validated through both laboratory testing and long-term field deployment.
By combining compact integration, low power consumption, and reliable measurement performance, the Dynament Platinum N₂O sensor supported the development of a practical solution for continuous environmental monitoring applications.
While every project presents unique technical requirements, the study provides valuable insight for engineers and OEM developers evaluating N₂O sensing technologies for autonomous monitoring systems.