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ZENODO
Article . 2025
License: CC BY
Data sources: ZENODO
ZENODO
Article . 2025
License: CC BY
Data sources: Datacite
ZENODO
Article . 2025
License: CC BY
Data sources: Datacite
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Quantitative Analysis and Detection Techniques for Carbon Dioxide (CO₂) in Gas Mixtures

Authors: Anant A;

Quantitative Analysis and Detection Techniques for Carbon Dioxide (CO₂) in Gas Mixtures

Abstract

The accurate detection and quantification of carbon dioxide (CO₂) in gas mixtures is critical across various industrial, environmental, and biomedical applications. This study presents a comprehensive evaluation of different testing methodologies for CO₂ measurement, including non-dispersive infrared (NDIR) sensors, gas chromatography (GC), and chemical absorption techniques. Each method is analyzed for sensitivity, accuracy, response time, and suitability under different operational conditions. Experimental testing was carried out on synthetic and real gas samples, simulating environments such as biogas, industrial exhaust, and ambient air. Results indicate that NDIR offers high-speed detection suitable for real-time monitoring, whereas gas chromatography provides superior accuracy for trace level analysis. This paper further discusses calibration standards, interference from other gases, and cost-effectiveness of each technique. The findings aim to guide the selection of appropriate CO₂ testing methods based on application-specific requirements.

Keywords

Carbon dioxide (CO₂), gas analysis, NDIR sensor, gas chromatography, CO₂ detection, gas mixtures, biogas, environmental monitoring, sensor calibration, real-time monitoring

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green