Quantitative Analysis of Fatty Acid Methyl Esters (FAMEs) Using Smart EI/CI Ion Source
Applications | 2022 | ShimadzuInstrumentation
Fatty acids play central roles in energy metabolism and nutrition. Their profiling as fatty acid methyl esters (FAMEs) provides vital information in clinical diagnostics and food quality assessment. GC-MS analysis of FAMEs requires sensitive ionization to distinguish structural isomers and quantify unsaturated species accurately.
This study aimed to evaluate the performance of positive chemical ionization multiple reaction monitoring (PCI-MRM) versus traditional electron ionization MRM (EI-MRM) for quantitative FAME analysis. A hybrid Smart EI/CI ion source was tested alongside a dedicated PCI source, comparing sensitivity, limit of quantitation, and calibration linearity. Applications to food samples (beef, mackerel) were also demonstrated.
FAME standards and food extracts were prepared via methylation using a commercial kit. Key experimental details included:
PCI-MRM using the Smart EI/CI source matched the sensitivity of a dedicated PCI source and outperformed EI-MRM for unsaturated FAMEs. Limits of quantitation for monounsaturated and polyunsaturated compounds improved up to an order of magnitude. Calibration curves showed linearity with R2 values ≥ 0.995 over broad concentration ranges. Analysis of beef and mackerel extracts yielded PCI/EI concentration ratios within ±30%, confirming quantitative accuracy. The Smart EI/CI source enabled rapid switching between ionization modes without stopping the system, reducing downtime.
Continued expansion of spectral databases and automated method development will further simplify FAME profiling. The Smart EI/CI approach may extend to broader metabolomic analyses, high-throughput screening in clinical, environmental, and industrial settings, and coupling to advanced data processing platforms.
Combining PCI-MRM with a Smart EI/CI ion source on a GC-MS/MS platform delivers superior sensitivity for unsaturated FAMEs while maintaining reliable quantitation. The seamless transition between ionization modes enhances laboratory efficiency and broadens the scope of lipidomic and food analysis workflows.
No specific literature references were provided in the original text.
GC/MSD, GC/MS/MS, GC/QQQ
IndustriesFood & Agriculture
ManufacturerShimadzu
Summary
Significance of the topic
Fatty acids play central roles in energy metabolism and nutrition. Their profiling as fatty acid methyl esters (FAMEs) provides vital information in clinical diagnostics and food quality assessment. GC-MS analysis of FAMEs requires sensitive ionization to distinguish structural isomers and quantify unsaturated species accurately.
Objectives and study overview
This study aimed to evaluate the performance of positive chemical ionization multiple reaction monitoring (PCI-MRM) versus traditional electron ionization MRM (EI-MRM) for quantitative FAME analysis. A hybrid Smart EI/CI ion source was tested alongside a dedicated PCI source, comparing sensitivity, limit of quantitation, and calibration linearity. Applications to food samples (beef, mackerel) were also demonstrated.
Methodology and instrumentation
FAME standards and food extracts were prepared via methylation using a commercial kit. Key experimental details included:
- GC-MS system: GCMS-TQ8050 NX with AOCTM-30i/20s autoinjector
- Column: DB-5MS (30 m×0.25 mm, 0.25 µm film)
- Injection: Splitless at 250 °C
- Oven program: 40 °C (2 min) → 320 °C at 6 °C/min → 320 °C (1 min)
- Carrier gas: Helium at constant linear velocity (50.0 cm/s)
- MS conditions: MRM mode; ion source 200 °C; interface 280 °C
- PCI reagent: Isobutane at 200 kPa (Smart EI/CI) or 80 kPa (dedicated)
Main results and discussion
PCI-MRM using the Smart EI/CI source matched the sensitivity of a dedicated PCI source and outperformed EI-MRM for unsaturated FAMEs. Limits of quantitation for monounsaturated and polyunsaturated compounds improved up to an order of magnitude. Calibration curves showed linearity with R2 values ≥ 0.995 over broad concentration ranges. Analysis of beef and mackerel extracts yielded PCI/EI concentration ratios within ±30%, confirming quantitative accuracy. The Smart EI/CI source enabled rapid switching between ionization modes without stopping the system, reducing downtime.
Benefits and practical applications
- Enhanced detection of low-abundance unsaturated fatty acids
- Robust quantitative accuracy comparable to EI-MRM
- Streamlined workflow via database-driven MRM methods (Smart Metabolites Database)
- Flexible ionization switching in a single instrument
Future trends and potential applications
Continued expansion of spectral databases and automated method development will further simplify FAME profiling. The Smart EI/CI approach may extend to broader metabolomic analyses, high-throughput screening in clinical, environmental, and industrial settings, and coupling to advanced data processing platforms.
Conclusion
Combining PCI-MRM with a Smart EI/CI ion source on a GC-MS/MS platform delivers superior sensitivity for unsaturated FAMEs while maintaining reliable quantitation. The seamless transition between ionization modes enhances laboratory efficiency and broadens the scope of lipidomic and food analysis workflows.
Reference
No specific literature references were provided in the original text.
Content was automatically generated from an orignal PDF document using AI and may contain inaccuracies.
Similar PDF
Determination of Fatty Acids in Foods Using Gas Chromatography with Positive-ion Chemical Ionization Tandem Mass Spectrometry
2013|Shimadzu|Posters
PO-CON1306E Determination of Fatty Acids in Foods Using Gas Chromatography with Positive-ion Chemical Ionization Tandem Mass Spectrometry ASMS 2013 ThP-201 Shuichi Kawana1, Yukihiko Kudo1, Yuki Sakamoto1, Katsuhiro Nakagawa1, Laura Chambers2, Richard Whitney2, Haruhiko Miyagawa1 1 Shimadzu Corporation. 1, Nishinokyo-Kuwabaracho Nakagyo-ku,…
Key words
pici, picisim, simfatty, fattymrm, mrmacids, acidsloq, loqfoods, foodsionization, ionizationseparation, separationgood, goodion, iontandem, tandemunsaturated, unsaturatedpositive, positiveions
Analysis of Fatty Acids Using PCI-GCMS/ MS
2013|Shimadzu|Applications
LAAN-J-MS-E085 GC-MS Gas Chromatograph Mass Spectrometer Analysis of Fatty Acids Using PCI-GCMS/MS 85 While some fatty acids, such as the n-3 fatty acids EPA and DHA, are beneficial to human health because they lower the amount of blood-borne neutral fat,…
Key words
pci, pcisim, simmrm, mrmfatty, fattyloq, loqacids, acidstwice, twicelimit, limitquantitation, quantitationlower, lowerhaving, havinganalysis, analysissensitivity, sensitivitydifference, differencemethods
Lipid and Fatty Acid Analysis Solutions
2023|Shimadzu|Applications
C10G-E101 Lipid and Fatty Acid Analysis Solutions Lipids and Fatty Acids Lipids are one of the four major biological substances, along with proteins, carbohydrates, and nucleic acids. Fatty acids are also important in living organisms and make up cell membranes…
Key words
fatty, fattyacids, acidsacid, acidphospholipid, phospholipidlipids, lipidspackage, packageglucosylceramides, glucosylceramidessummary, summaryshort, shortmeasurement, measurementconfiguration, configurationchain, chainbenefits, benefitsmice, micespf
Analysis of fatty acid content in rice by GC-MS/MS combined with metabolite database
2023|Shimadzu|Posters
Analysis of fatty acid content in rice by GC-MS/MS combined with metabolite database TP 261 Yong Wang1, Jun Fan2, Taohong Huang2 1 Shimadzu (China) CO.LTD, Beijing Branch. 2 Shimadzu (China) CO.LTD, Shanghai Branch 4. Result 1. Overview In this paper,…
Key words
rice, ricedatabase, databasecompound, compoundmyristate, myristatemethyl, methyldecanoate, decanoatecombined, combinedultra, ultraspeed, speedname, namefast, fastspectrometer, spectrometerestablish, establishmetabolite, metaboliteonce