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Related Experiment Video

Updated: Jun 29, 2026

The Use of an Automated System GreenFeed to Monitor Enteric Methane and Carbon Dioxide Emissions from Ruminant Animals

The Use of an Automated System GreenFeed to Monitor Enteric Methane and Carbon Dioxide Emissions from Ruminant Animals

Published on: September 7, 2015

Novel OA-ICOS Sensor for Real-Time Quantification of Enteric Methane from Ruminants.

Yulai Sun^1,2, Depu Yao^1,2, Jianbo Chen³

¹Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun 130033, China.

Sensors (Basel, Switzerland)

|February 27, 2026

Summary

This summary is machine-generated.

This study developed a real-time system to monitor methane (CH4) emissions from cattle breath using Off-Axis Integrated Cavity Output Spectroscopy (OA-ICOS). The system accurately tracks emissions, revealing patterns linked to feeding times.

Keywords:

greenhouse gas infrared absorption livestock farming off-axis integrated cavity

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The Use of an Automated System GreenFeed to Monitor Enteric Methane and Carbon Dioxide Emissions from Ruminant Animals

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Published on: September 7, 2015

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Measuring Dissolved Methane in Aquatic Ecosystems Using An Optical Spectroscopy Gas Analyzer

Measuring Dissolved Methane in Aquatic Ecosystems Using An Optical Spectroscopy Gas Analyzer

Published on: July 26, 2024

Area of Science:

Environmental Science
Agricultural Science
Spectroscopy

Background:

Methane (CH4) is a potent greenhouse gas, with livestock rumination contributing significantly to global emissions.
Accurate, real-time monitoring of CH4 emissions from ruminants is crucial for understanding and mitigating climate impact.

Purpose of the Study:

To develop and validate a real-time monitoring system for simultaneous tracking of cattle rumination behavior and CH4 concentrations in breath.
To assess the stability, accuracy, and detection limits of the developed monitoring system.
To quantify daily CH4 production in cattle and analyze emission patterns in relation to feeding schedules.

Main Methods:

Utilized Off-Axis Integrated Cavity Output Spectroscopy (OA-ICOS) for CH4 detection.
Optimized off-axis integrated cavity structure and environmental control for enhanced stability and accuracy.
Conducted laboratory stability tests, Allan deviation analysis, and continuous field monitoring of Simmental cattle.

Main Results:

Achieved a rapid 3-second response time to dynamic CH4 concentration changes.
Demonstrated a minimum detection limit of 0.07 ppm.
Quantified daily methane production at approximately 311.83 L per head, with emission rates showing a double-peak pattern influenced by feeding schedules.
Observed a positive correlation between time post-feeding and CH4 emission frequency and intensity.

Conclusions:

The developed OA-ICOS system provides a stable, highly dynamic, and accurate method for long-term monitoring of greenhouse gas emissions from ruminants.
This tool enables robust quantification of CH4 emissions, offering valuable insights for scientific feeding practices and climate change mitigation strategies.