GCMS Determination of Free Fatty Acids in the Presence of Triglycerides

The goal of the study was to investigate the kinetics of the esterification reactions of triacylglycerides (TAGs) and free fatty acids (FFAs). TAGs and FFAs are lipids that are produced in biological systems and have high production rates in several organisms, including algae. With an increasing push toward renewable energy and clean energy, there is an interest in biofuels. Algae is found to produce high amounts of TAGs and lower amounts of FFAs, both of which can be esterified to fatty acid methyl esters (FAMEs). FAMEs can be used as a feedstock for biodiesel, gasoline, diesel, jet fuel, etc.. The ratio of TAGs and FFAs in different species of algae can vary based on growth and harvesting conditions. Since FFAs and TAGs are both esterified to FAMEs, the quantification of TAGs cannot be based on the production of FAMEs alone. TAGs and FFAs exhibit different reaction rates based on both time and temperature. The reaction rates of FFAs are faster at both lower times and temperatures than TAGs. The objective was to measure the reaction rates of FFAs at various times and temperatures to develop a method to determine the amount of TAGs produced by algae. The results of the experiments showed that the method was unable to differentiate between FFAs and TAGs, because the unsaturated compounds were still converting at low temperatures and times. The goal for future work is to use a titration with a strong base to analyze the FFA content found in a mixture.

Publication Details

Journal
Scholars Crossing (Liberty University)
Published
2025-04-15
Primary Topic
Biodiesel Production and Applications
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

GCMS Determination of Free Fatty Acids in the Presence of Triglycerides

Scholars Crossing (Liberty University)
Biodiesel Production and Applications
article

GCMS Determination of Free Fatty Acids in the Presence of Triglycerides

article en

Abstract

The goal of the study was to investigate the kinetics of the esterification reactions of triacylglycerides (TAGs) and free fatty acids (FFAs). TAGs and FFAs are lipids that are produced in biological systems and have high production rates in several organisms, including algae. With an increasing push toward renewable energy and clean energy, there is an interest in biofuels. Algae is found to produce high amounts of TAGs and lower amounts of FFAs, both of which can be esterified to fatty acid methyl esters (FAMEs). FAMEs can be used as a feedstock for biodiesel, gasoline, diesel, jet fuel, etc.. The ratio of TAGs and FFAs in different species of algae can vary based on growth and harvesting conditions. Since FFAs and TAGs are both esterified to FAMEs, the quantification of TAGs cannot be based on the production of FAMEs alone. TAGs and FFAs exhibit different reaction rates based on both time and temperature. The reaction rates of FFAs are faster at both lower times and temperatures than TAGs. The objective was to measure the reaction rates of FFAs at various times and temperatures to develop a method to determine the amount of TAGs produced by algae. The results of the experiments showed that the method was unable to differentiate between FFAs and TAGs, because the unsaturated compounds were still converting at low temperatures and times. The goal for future work is to use a titration with a strong base to analyze the FFA content found in a mixture.

Scholars Crossing (Liberty University)
Industry, innovation and infrastructure
Openalex Percentile: Top 53%
Biodiesel Production and Applications
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.