Comparative Analysis of CO₂ Content in Biogas and Synthetic Gas Using Chittick Titration Validated by Gas Chromatography

This study aimed to validate the Chittick titration method for measuring carbon dioxide (CO2) content using gas chromatography (GC) as the reference method. Two types of gas samples were analyzed: synthetic CO2/N2 gas with a theoretical composition of 40:60 and biogas produced by anaerobic fermentation. Analyses were conducted in parallel using both methods to compare CO2 measurements. For synthetic gas, the Chittick titration recorded an average CO2 content of 39.11%, whereas GC recorded 40.52%. For biogas, Chittick titration produced 30.16%, whereas GC measured 31.40%. The differences between the methods were 0.81% for synthetic gas and 1.55% for biogas, with relative errors of 2.00% and 3.45%, respectively. The t-test results showed statistically significant differences (p < 0.05) between the methods for both gas types. However, the observed deviations remained within practically acceptable limits for small-scale laboratory applications. These findings suggest that Chittick titration is a practical and cost-effective alternative for estimating CO2 content, particularly in laboratories with limited access to gas chromatography equipment. This study is expected to serve as a useful reference for educational institutions and small laboratories that are seeking to develop simple gas analysis methods with adequate validity.

Authors

Institutions

Publication Details

Journal
Eksergi
Published
2025-07-18
DOI
https://doi.org/10.31315/eksergi.v22i2.14809
Citations
1
Primary Topic
Various Chemistry Research Topics
Type
article
Field-Weighted Citation Impact
1.75
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Comparative Analysis of CO₂ Content in Biogas and Synthetic Gas Using Chittick Titration Validated by Gas Chromatography

Susianto, Ali Altway, Fadlilatul Taufany, Yeni Rahmawati et al.
1 citations
Eksergi
Various Chemistry Research Topics
1.75
article

Comparative Analysis of CO₂ Content in Biogas and Synthetic Gas Using Chittick Titration Validated by Gas Chromatography

Susianto, Ali Altway, Fadlilatul Taufany, Yeni Rahmawati, Alfian Wisnu Pambudi
article en
1 citations

Abstract

This study aimed to validate the Chittick titration method for measuring carbon dioxide (CO2) content using gas chromatography (GC) as the reference method. Two types of gas samples were analyzed: synthetic CO2/N2 gas with a theoretical composition of 40:60 and biogas produced by anaerobic fermentation. Analyses were conducted in parallel using both methods to compare CO2 measurements. For synthetic gas, the Chittick titration recorded an average CO2 content of 39.11%, whereas GC recorded 40.52%. For biogas, Chittick titration produced 30.16%, whereas GC measured 31.40%. The differences between the methods were 0.81% for synthetic gas and 1.55% for biogas, with relative errors of 2.00% and 3.45%, respectively. The t-test results showed statistically significant differences (p < 0.05) between the methods for both gas types. However, the observed deviations remained within practically acceptable limits for small-scale laboratory applications. These findings suggest that Chittick titration is a practical and cost-effective alternative for estimating CO2 content, particularly in laboratories with limited access to gas chromatography equipment. This study is expected to serve as a useful reference for educational institutions and small laboratories that are seeking to develop simple gas analysis methods with adequate validity.

EksergiVol. 22(2)
Sepuluh Nopember Institute of Technology (ID)
Openalex Percentile: Top 11%
Various Chemistry Research Topics
1.75
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.