Fatty Acid Methyl Esters (FAMEs) Analysis on an Agilent 8890 GC and Its Application to Real Samples
Applications | 2019 | Agilent TechnologiesInstrumentation
Fatty acid methyl ester (FAME) profiling is widely used in food quality control, nutritional labeling and research on lipid composition. Accurate separation and quantitation of both cis and trans isomers are critical for regulatory compliance and consumer health assessments. The development and validation of robust gas chromatographic methods ensure reliable results across diverse sample matrices, such as edible oils.
This study applied Chinese national standards GB 5009.168-2016 and GB 5009.257-2016 to evaluate the performance of an Agilent 8890 gas chromatograph equipped with a 100 m HP-88 polar capillary column. Key goals included:
Sample preparation followed the extraction and transesterification protocols outlined in GB 5009.168-2016. A 37-component FAME standard was diluted to 50–100 ng/µL. System repeatability was assessed by six replicate injections. Linearity studies used five concentration levels from low-ppb to ppm ranges for cis-C18:1 and cis-C18:2.
The optimized oven program (initial hold 13 min at 100 °C, ramps to 180 °C, 200 °C, then 230 °C) achieved separation of 37 FAMEs in 81 min with critical pair C20:0/C20:3n6 exceeding the required resolution of 1.25. Retention time RSD was 0.01–0.03 %, and area repeatability ranged from 1.1 to 3.4 % (one component at 4.0 %). Response factors for C18:1-cis and C18:2-cis showed RSDs of 4.7 % and 3.0 %, respectively, demonstrating excellent linearity across five orders of magnitude. The 13-component trans FAME mix plus eight C18:3 isomers were resolved sufficiently to meet method requirements, despite coelution challenges for some double-bond positional isomers. Real oil analyses identified major fatty acids (C16:0, C18:0, C18:1n9c, C18:2n6c, C18:3n3, C20:1) and confirmed method suitability for routine testing.
Advances in faster GC columns and temperature programming may reduce analysis time while preserving isomer resolution. Integration with mass spectrometry detectors could enhance identification of trace and coeluting isomers. Automated data processing driven by machine learning may further streamline quantitation and compliance reporting.
The Agilent 8890 GC with a 100 m HP-88 column reliably separates 37 FAMEs and 21 trans isomers within 80 minutes, meeting or exceeding national method requirements for resolution, repeatability, and linearity. Real sample analysis confirms the method’s robustness for food lipid testing.
GC
IndustriesFood & Agriculture
ManufacturerAgilent Technologies
Summary
Importance of the Topic
Fatty acid methyl ester (FAME) profiling is widely used in food quality control, nutritional labeling and research on lipid composition. Accurate separation and quantitation of both cis and trans isomers are critical for regulatory compliance and consumer health assessments. The development and validation of robust gas chromatographic methods ensure reliable results across diverse sample matrices, such as edible oils.
Objectives and Study Overview
This study applied Chinese national standards GB 5009.168-2016 and GB 5009.257-2016 to evaluate the performance of an Agilent 8890 gas chromatograph equipped with a 100 m HP-88 polar capillary column. Key goals included:
- Optimizing a temperature program for baseline resolution of 37 representative FAMEs and 21 trans FAMEs within an 80-minute run.
- Assessing system repeatability of retention times and peak areas.
- Determining linearity of detector response across a wide concentration range.
- Analyzing real oil samples (soybean, peanut, sesame) to demonstrate practical applicability.
Methodology
Sample preparation followed the extraction and transesterification protocols outlined in GB 5009.168-2016. A 37-component FAME standard was diluted to 50–100 ng/µL. System repeatability was assessed by six replicate injections. Linearity studies used five concentration levels from low-ppb to ppm ranges for cis-C18:1 and cis-C18:2.
Used Instrumentation
- Agilent 8890 GC with split/splitless inlet (250 °C, split 100:1) and flame ionization detector.
- Agilent 7693A autosampler.
- Column: HP-88, 100 m × 0.25 mm, 0.20 µm film, constant nitrogen pressure (40 psi).
Main Results and Discussion
The optimized oven program (initial hold 13 min at 100 °C, ramps to 180 °C, 200 °C, then 230 °C) achieved separation of 37 FAMEs in 81 min with critical pair C20:0/C20:3n6 exceeding the required resolution of 1.25. Retention time RSD was 0.01–0.03 %, and area repeatability ranged from 1.1 to 3.4 % (one component at 4.0 %). Response factors for C18:1-cis and C18:2-cis showed RSDs of 4.7 % and 3.0 %, respectively, demonstrating excellent linearity across five orders of magnitude. The 13-component trans FAME mix plus eight C18:3 isomers were resolved sufficiently to meet method requirements, despite coelution challenges for some double-bond positional isomers. Real oil analyses identified major fatty acids (C16:0, C18:0, C18:1n9c, C18:2n6c, C18:3n3, C20:1) and confirmed method suitability for routine testing.
Benefits and Practical Applications
- Comprehensive profiling of cis and trans FAMEs for nutritional labeling and regulatory compliance.
- High repeatability and linearity support reliable quantitation using single-point external standardization.
- Applicable to a variety of edible oils and potentially other complex lipid matrices.
Future Trends and Potential Uses
Advances in faster GC columns and temperature programming may reduce analysis time while preserving isomer resolution. Integration with mass spectrometry detectors could enhance identification of trace and coeluting isomers. Automated data processing driven by machine learning may further streamline quantitation and compliance reporting.
Conclusion
The Agilent 8890 GC with a 100 m HP-88 column reliably separates 37 FAMEs and 21 trans isomers within 80 minutes, meeting or exceeding national method requirements for resolution, repeatability, and linearity. Real sample analysis confirms the method’s robustness for food lipid testing.
References
- GB 5009.168-2016: Determination of fatty acids in food.
- GB 5009.257-2016: Determination of trans fatty acids in food.
- Agilent Technologies Application Note 5991-9482EN: Fast FAME analysis by Intuvo 9000 GC.
Content was automatically generated from an orignal PDF document using AI and may contain inaccuracies.
Similar PDF
Fatty Acid Methyl Ester Analysis Using the Agilent 8850 GC System
2025|Agilent Technologies|Applications
Application Note Food and Beverage Testing Fatty Acid Methyl Ester Analysis Using the Agilent 8850 GC System Author Abstract Jie Zhang Agilent Technologies (Shanghai) Co. Ltd. This application note presents the analysis of fatty acid methyl esters (FAMEs) using an…
Key words
fatty, fattyfastfame, fastfamefames, famescyanopropyl, cyanopropylresponse, responsetrans, transcis, cisprogram, programretention, retentionacids, acidshead, headoven, ovenmin, mincolumns, columnspressure
Rapid Analysis of Fatty Acid Methyl Esters (FAMEs) Using a High Resolution 90-m Agilent J&W DB‑FastFAME Capillary GC Column
2020|Agilent Technologies|Applications
Application Note Food Testing Rapid Analysis of Fatty Acid Methyl Esters (FAMEs) Using a High Resolution 90-m Agilent J&W DB‑FastFAME Capillary GC Column Author Yun Zou Agilent Technologies (Shanghai) Co. Ltd. Abstract This application note shows an excellent separation of…
Key words
fastfame, fastfametrans, transfatty, fattycarrier, carrierfames, famescis, ciscolumn, columnfame, famegas, gasfid, fidseparation, separationacid, acidinlet, inletmix, mixhydrogen
New GC Column Technology for Old Problems in Fatty Acid Analysis
2020|Agilent Technologies|Presentations
New GC Column Technology for Old Problems in Fatty Acid Analysis Gustavo Serrano Izaguirre, PhD Global Product Manager – GC Columns December 15, 2020 1 December 15, 2020 DE44171.6363541667 What Are We Testing? Fat profiles: • • • • Total…
Key words
new, newtechnology, technologycolumn, columnfastfame, fastfameacid, acidfatwax, fatwaxintuvo, intuvofames, famestrans, transfatty, fattyfats, fatscis, cisfame, fametriglycerides, triglyceridesfid
Comprehensive Analysis of FAMEs, Fatty Acids, and Triglycerides
2020|Agilent Technologies|Brochures and specifications
Comprehensive Analysis of FAMEs, Fatty Acids, and Triglycerides Agilent J&W GC columns for food nutrition testing Maintain the Highest Standards for Product Content, Quality, and Purity To optimize processing, taste, texture, and shelf life, you must thoroughly test the oils…
Key words
acid, acidfatty, fattyfames, fameschromspher, chromspherfame, fametriglycerides, triglyceridesisomers, isomerspositional, positionalfatwax, fatwaxchain, chainfastfame, fastfameglycerol, glyceroltrans, transcis, cisfree