Prediction of Boiling and Melting Points for Some Substituted Alkanes and their Isomers using Group Contribution Techniques

The prediction of thermodynamic properties such as boiling (Tb) and melting (Tm) points is fundamental in chemical process design. This study evaluates the performance of three Group Contribution Techniques (GCTs): Constantinou – Gani (C & G), Marrero – Gani (M & G), and Joback – Reid (J & R) — in predicting two thermodynamic properties for selected substituted alkanes (SAs) and their isomers. The results indicate significant variations in predictions, with the J & R method generally estimating higher Tb, while the M & G method provides lower Tm values for most compounds. Discrepancies among the methods highlight the influence of molecular structure and functional groups on phase transition properties. The mean absolute error (MAE) across the methods was found to be 35.38 K for Tb and 39.06 K for Tm, highlighting variability in predictive accuracy. Standard deviation analysis further revealed significant fluctuations, with an average of 50.17 K for Tb and 51.21 K for Tm. Analysis of variance indicated no statistically significant difference between the three methods for Tb and Tm, suggesting that all three models perform comparably despite individual discrepancies. The findings underscore the need for further refinement of predictive models to enhance their reliability for industrial and research applications.

Authors

Institutions

Publication Details

Journal
BIMA JOURNAL OF SCIENCE AND TECHNOLOGY GOMBE
Published
2025-06-30
DOI
https://doi.org/10.64290/bima.v9i2a.1090
Primary Topic
Chemical Thermodynamics and Molecular Structure
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Prediction of Boiling and Melting Points for Some Substituted Alkanes and their Isomers using Group Contribution Techniques

Emmanuel E. Etim, Charles Otobrise
BIMA JOURNAL OF SCIENCE AND TECHNOLOGY GOMBE
Chemical Thermodynamics and Molecular Structure
article

Prediction of Boiling and Melting Points for Some Substituted Alkanes and their Isomers using Group Contribution Techniques

Emmanuel E. Etim, Charles Otobrise
article en

Abstract

The prediction of thermodynamic properties such as boiling (Tb) and melting (Tm) points is fundamental in chemical process design. This study evaluates the performance of three Group Contribution Techniques (GCTs): Constantinou – Gani (C & G), Marrero – Gani (M & G), and Joback – Reid (J & R) — in predicting two thermodynamic properties for selected substituted alkanes (SAs) and their isomers. The results indicate significant variations in predictions, with the J & R method generally estimating higher Tb, while the M & G method provides lower Tm values for most compounds. Discrepancies among the methods highlight the influence of molecular structure and functional groups on phase transition properties. The mean absolute error (MAE) across the methods was found to be 35.38 K for Tb and 39.06 K for Tm, highlighting variability in predictive accuracy. Standard deviation analysis further revealed significant fluctuations, with an average of 50.17 K for Tb and 51.21 K for Tm. Analysis of variance indicated no statistically significant difference between the three methods for Tb and Tm, suggesting that all three models perform comparably despite individual discrepancies. The findings underscore the need for further refinement of predictive models to enhance their reliability for industrial and research applications.

BIMA JOURNAL OF SCIENCE AND TECHNOLOGY GOMBEVol. 9(2A)
Delta State University (NG), Federal University Lafia (NG), Federal University Wukari
Openalex Percentile: Top 86%
Chemical Thermodynamics and Molecular Structure
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.