Determination of 14 Polycyclic Aromatic Hydrocarbon Compounds in Edible Oil
Applications | 2019 | Agilent TechnologiesInstrumentation
Edible oils can accumulate toxic heavy polycyclic aromatic hydrocarbons during high-temperature processing. These compounds pose carcinogenic risks and are regulated by EU limits requiring quantitation at sub-ppb levels. Reliable analysis is essential for food safety and regulatory compliance.
Efficient matrix removal of more than 95% was achieved in all five oils, with significantly cleaner chromatographic backgrounds. The method reached LOQs between 0.9 and 2 ng/g, with accuracy ranging from 87 to 114% and RSDs below 15% across spiking levels. Recoveries were high for neutral PAHs; extraction efficiency decreased for the most hydrophobic analytes. Large volume injection enhanced sensitivity while maintaining reproducibility.
Further optimization may include alternative solvents or sonication to improve extraction of highly hydrophobic PAHs. Automating the cleanup workflow and expanding to other lipid-rich matrices such as dairy or biofuels could enhance throughput. Integration with high-resolution mass spectrometry may enable broader contaminant screening.
The method offers a robust, sensitive, and efficient approach for determining 14 heavy PAHs in edible oils. Combining Captiva EMR-Lipid with PSA cleanup on a GC/MS/MS platform yields reliable quantitation at sub-ppb levels, ensuring EU compliance and supporting food safety testing.
GC/MSD, GC/MS/MS, Sample Preparation, GC/QQQ
IndustriesFood & Agriculture
ManufacturerAgilent Technologies
Summary
Significance of the Topic
Edible oils can accumulate toxic heavy polycyclic aromatic hydrocarbons during high-temperature processing. These compounds pose carcinogenic risks and are regulated by EU limits requiring quantitation at sub-ppb levels. Reliable analysis is essential for food safety and regulatory compliance.
Objectives and Study Overview
- Develop and validate a multiresidue method for 14 heavy PAHs in five edible oils
- Achieve efficient oil matrix removal and selective cleanup
- Meet EU LOQ requirements of 0.9 to 2 ng per gram
- Demonstrate hybrid EMR-Lipid and PSA cleanup followed by GC/MS/MS analysis
Methodology and Instrumentation
- Sample oils: pumpkin seed, olive, avocado, almond, and grape seed oil
- Extraction: two-step liquid-liquid extraction with ethyl acetate/acetonitrile (20:80 v/v)
- Cleanup: Captiva EMR-Lipid 6 mL cartridge hyphenated with Bond Elut Jr PSA 500 mg cartridge
- Back-extraction: isooctane to remove water
- Detection: large volume injection GC/MS/MS in dynamic MRM mode
Used Instrumentation
- Agilent 7890B gas chromatograph with multimode inlet and backflush system
- Agilent 7000D triple quadrupole mass spectrometer
- Captiva EMR-Lipid and Bond Elut Jr PSA cartridges
- MassHunter software for data acquisition
Main Results and Discussion
Efficient matrix removal of more than 95% was achieved in all five oils, with significantly cleaner chromatographic backgrounds. The method reached LOQs between 0.9 and 2 ng/g, with accuracy ranging from 87 to 114% and RSDs below 15% across spiking levels. Recoveries were high for neutral PAHs; extraction efficiency decreased for the most hydrophobic analytes. Large volume injection enhanced sensitivity while maintaining reproducibility.
Benefits and Practical Applications
- Meets stringent regulatory requirements for heavy PAHs in edible oils
- Hybrid cleanup workflow reduces sample preparation time and solvent use
- Provides a clean extract for reliable quantitation via GC/MS/MS
- Applicable to quality control in food safety laboratories
Future Trends and Potential Applications
Further optimization may include alternative solvents or sonication to improve extraction of highly hydrophobic PAHs. Automating the cleanup workflow and expanding to other lipid-rich matrices such as dairy or biofuels could enhance throughput. Integration with high-resolution mass spectrometry may enable broader contaminant screening.
Conclusion
The method offers a robust, sensitive, and efficient approach for determining 14 heavy PAHs in edible oils. Combining Captiva EMR-Lipid with PSA cleanup on a GC/MS/MS platform yields reliable quantitation at sub-ppb levels, ensuring EU compliance and supporting food safety testing.
References
- U.S. Food and Drug Administration. Protocol for Interpretation and Use of Sensory Testing and Analytical Chemistry Results for Re-Opening Oil-Impacted Areas Closed to Seafood Harvesting Due to the Deepwater Horizon Oil Spill. 2010.
- European Commission Regulation EC No. 836 2011, Official Journal of the European Union, 2011, 215, 9.
- Moret S, Conte LS. Polycyclic Aromatic Hydrocarbons in Edible Fats and Oils: Occurrence and Analytical Methods. J Chromatogr A. 2000;882:245–253.
- Amzad Hossain M, Salehuddin SM. Polycyclic Aromatic Hydrocarbons in Edible Oils by Gas Chromatography Coupled with Mass Spectroscopy. Arabian J Chem. 2012;5:391–396.
- Barranco A, et al. Solid-Phase Clean-Up in the Liquid Chromatographic Determination of PAHs in Edible Oils. J Chromatogr A. 2003;988:33–40.
- Payanan T, Leepipatpiboon N, Varanusupakul P. Low-Temperature Cleanup with Solid-Phase Extraction for the Determination of PAHs in Edible Oils. Food Chem. 2013;141:2720–2726.
- Wang JH, Guo C. Ultrasonication Extraction and Gel Permeation Chromatography Clean-Up for PAH Determination in Edible Oil by Isotope Dilution GC-MS. J Chromatogr A. 2010;1217:4732–4737.
- Zhao L. Determination of Multiclass, Multiresidue Pesticides in Olive Oil by Captiva EMR-Lipid Cleanup and GC/MS/MS. Agilent Tech Application Note. 2015.
- Lucas D, Zhao L. PAH Analysis in Salmon with Enhanced Matrix Removal. Agilent Tech Application Note. 2015.
- Chemisches TB, et al. EU Priority PAH Analysis in Pumpkin Seed Oil Using Bond Elut EMR-Lipid Cleanup by GC-MS/MS. Agilent Tech Application Note. 2019.
- Szelewski M, Quimby BD. Optimized PAH Analysis Using the Agilent Self-Cleaning Ion Source and the Enhanced PAH Analyzer. Agilent Tech Application Note.
- Zhao L, Wong D. Determination of 19 PAHs in Salmon and Beef Using Captiva EMR-Lipid Cleanup by GC-MS/MS. Agilent Tech Application Note. 2019.
Content was automatically generated from an orignal PDF document using AI and may contain inaccuracies.
Similar PDF
EU Priority PAH Analysis in Pumpkin Seed Oil Using Bond Elut EMR—Lipid Cleanup by GC/MS/MS
2019|Agilent Technologies|Applications
Application Note Food Testing & Agriculture EU Priority PAH Analysis in Pumpkin Seed Oil Using Bond Elut EMR—Lipid Cleanup by GC/MS/MS Authors Thorsten Bernsmann Chemisches und Veterinäruntersuchungsamt Münsterland-Emscher-Lippe (CVUA-MEL), AöR Münster, Germany Diana Wong, Limian Zhao, Bruce Quimby, and Joerg…
Key words
benzo, benzopah, pahpumpkin, pumpkinemr, emrflu, flulipid, lipidpyrene, pyreneseed, seedfluoranthene, fluoranthenejetclean, jetcleanmatrix, matrixpahs, pahscleanup, cleanupoil, oilanthracene
PAH Analysis in Fatty and Complex Matrix using GC/MS/MS - Pumpkin Seed Oil
2018|Agilent Technologies|Presentations
PAH Analysis in Fatty and Complex Matrix using GC/MS/MS Pumpkin Seed Oil Diana Wong, Ph.D. GC/MS Scientist AOAC Annual Meeting and Exposition 2018 Toronto, Ontario Canada August 29, 2018 Overview Project Outline Goal • Investigate GC/MS/MS for analysis of EU…
Key words
benzo, benzopumpkin, pumpkinemr, emrpyrene, pyreneseed, seedlipid, lipidjetclean, jetcleanpah, pahsmoked, smokedoil, oilpahs, pahsfluoranthene, fluoranthenelocking, lockingdibenzo, dibenzofoodstuff
Determination of 19 Polycyclic Aromatic Hydrocarbon Compounds in Salmon and Beef
2019|Agilent Technologies|Applications
Application Note Food Testing and Agriculture Determination of 19 Polycyclic Aromatic Hydrocarbon Compounds in Salmon and Beef Using Captiva EMR—Lipid Cleanup by GC/MS/MS Authors Limian Zhao and Diana Wong Agilent Technologies, Inc. Abstract This Application Note presents the development and…
Key words
emr, emrsalmon, salmonlipid, lipidcleanup, cleanupbcf, bcfbep, bepbjf, bjfbbf, bbfcaptiva, captivabghlp, bghlpbaa, baabkf, bkfdbaha, dbahacounts, countsbap
Determination of 19 Polycyclic Aromatic Hydrocarbon Compounds in Salmon and Beef
2020|Agilent Technologies|Applications
Application Note Food Testing and Agriculture Determination of 19 Polycyclic Aromatic Hydrocarbon Compounds in Salmon and Beef Using Captiva EMR—Lipid Cleanup by GC/MS/MS Authors Limian Zhao and Diana Wong Agilent Technologies, Inc. Abstract This Application Note presents the development and…
Key words
emr, emrsalmon, salmonlipid, lipidcleanup, cleanupbcf, bcfbep, bepbjf, bjfbghlp, bghlpbbf, bbfcaptiva, captivabkf, bkfdbaha, dbahabaa, baacounts, countsbeef