Enhanced PAH Analysis in Crude Palm Oil, Crude Palm Kernel Oil, and Coconut Oil
Applications | 2024 | Agilent TechnologiesInstrumentation
This study addresses the critical need to quantify trace levels of polycyclic aromatic hydrocarbons (PAHs) in high-fat matrices such as crude palm oil, crude palm kernel oil, and coconut oil. PAHs are lipophilic carcinogens that can accumulate during high-temperature processing and pose health risks. Compliance with stringent regulatory limits (e.g., EU maximum of 2 µg/kg benzo(a)pyrene) requires sensitive, reproducible analytical methods tailored to complex lipid-rich samples.
The primary goal was to develop a fast, simple workflow combining enhanced lipid cleanup with direct HPLC-FLD analysis to monitor 16 EPA-regulated PAHs in crude and coconut oils. Key aims included:
Samples (1 g oil) were melted (for coconut oil), spiked with PAH standards, and subjected to a two-step cleanup: Bond Elut EMR–Lipid extraction followed by EMR–Lipid Polish desiccation. The cleaned extracts were directly injected (100 µL) into a donor-acceptor complex chromatography (DACC) enrichment column. After matrix removal by backflush, analytes were transferred to an Agilent Pursuit PAH analytical column for gradient separation. Detection employed a fluorescence detector with excitation at 260 nm and emission at 380 nm to maximize sensitivity for chrysene.
The optimized workflow achieved baseline-clean chromatograms and resolved 12 of 16 PAHs; low-molecular-weight compounds (naphthalene through fluorene) were not retained in the DACC column and eluted during cleanup. Using 380 nm emission improved signal-to-noise ratios (S/N > 8 at 0.1 ppb) for chrysene, anthracene, pyrene, and phenanthrene. Linearity across 0.1–10 ppb yielded R² > 0.999 for all target analytes. Reproducibility was excellent, with retention time and peak area %RSD typically <1%. Recoveries ranged from 90% to 120% in all three matrices, demonstrating minimal matrix effects.
Emerging directions include coupling rapid lipid removal to mass spectrometric detection for nonfluorescent PAHs, automated on-line cleanup systems, expanded applications to other fatty matrices (e.g., fish oils), and miniaturized sample-preparation devices for high-throughput screening. Further method refinement may focus on solvent-free extraction and integration with real-time process monitoring.
The presented method combines EMR–Lipid cleanup with DACC enrichment and HPLC-FLD to deliver a robust, sensitive, and high-throughput solution for PAH analysis in complex oil matrices. Its strong performance—demonstrated by linearity (R² > 0.999), low detection limits, high recoveries, and excellent precision—supports its adoption in regulatory and industrial laboratories.
1. Ifegwu OC, Anyakora C. Polycyclic Aromatic Hydrocarbons: Part I. Exposure. Adv Clin Chem. 2015;72:277–304.
2. Zhang J, et al. Polycyclic Aromatic Hydrocarbons (PAHs) and Antibiotics in Oil-Contaminated Aquaculture Areas. J Hazard Mater. 2022;437.
3. Zelinkova Z, Wenzl T. The Occurrence of 16 EPA PAHs in Food – A Review. Polycycl Aromat Compd. 2015;35:248–284.
4. Commission Regulation (EU) 2023/915 of 25 April 2023 on Maximum Levels for Certain Contaminants in Food. L119/103, 2023.
5. Naegele E. Analysis of PAHs in Edible Oils by Online Enrichment, Matrix Removal and Fluorescence Detection. Agilent Technologies Application Note 5991-2772EN, 2016.
6. Phuah CW, Choo YM, Ma AN, Chuah CH. Degumming and Bleaching Effect on Selected Constituents of Palm Oil. J Oil Palm Res. 2004;16(2):57–63.
HPLC, Sample Preparation, Consumables
IndustriesFood & Agriculture
ManufacturerAgilent Technologies
Summary
Significance of the topic
This study addresses the critical need to quantify trace levels of polycyclic aromatic hydrocarbons (PAHs) in high-fat matrices such as crude palm oil, crude palm kernel oil, and coconut oil. PAHs are lipophilic carcinogens that can accumulate during high-temperature processing and pose health risks. Compliance with stringent regulatory limits (e.g., EU maximum of 2 µg/kg benzo(a)pyrene) requires sensitive, reproducible analytical methods tailored to complex lipid-rich samples.
Objectives and overview of the study
The primary goal was to develop a fast, simple workflow combining enhanced lipid cleanup with direct HPLC-FLD analysis to monitor 16 EPA-regulated PAHs in crude and coconut oils. Key aims included:
- Minimize sample preparation time
- Reduce matrix interferences and HPLC flow-path clogging
- Optimize fluorescence detection wavelength for low-level chrysene quantification
- Demonstrate method performance in three challenging matrices
Methodology and instrumentation
Samples (1 g oil) were melted (for coconut oil), spiked with PAH standards, and subjected to a two-step cleanup: Bond Elut EMR–Lipid extraction followed by EMR–Lipid Polish desiccation. The cleaned extracts were directly injected (100 µL) into a donor-acceptor complex chromatography (DACC) enrichment column. After matrix removal by backflush, analytes were transferred to an Agilent Pursuit PAH analytical column for gradient separation. Detection employed a fluorescence detector with excitation at 260 nm and emission at 380 nm to maximize sensitivity for chrysene.
Equipment used
- Agilent 1260 Infinity II flexible pump and binary pump
- Agilent 1260 Infinity II multisampler
- Agilent 1290 multicolumn thermostat with Quick-Change valve
- Agilent 1260 Infinity II fluorescence detector (Ex 260 nm; Em 380/440/500 nm)
- Agilent ChromSphere Pi DACC enrichment column (3.0×80 mm)
- Agilent Pursuit 200Å PAH analytical column (4.6×250 mm, 5 µm)
Key results and discussion
The optimized workflow achieved baseline-clean chromatograms and resolved 12 of 16 PAHs; low-molecular-weight compounds (naphthalene through fluorene) were not retained in the DACC column and eluted during cleanup. Using 380 nm emission improved signal-to-noise ratios (S/N > 8 at 0.1 ppb) for chrysene, anthracene, pyrene, and phenanthrene. Linearity across 0.1–10 ppb yielded R² > 0.999 for all target analytes. Reproducibility was excellent, with retention time and peak area %RSD typically <1%. Recoveries ranged from 90% to 120% in all three matrices, demonstrating minimal matrix effects.
Benefits and practical applications
- Rapid two-step cleanup reduces lipid interference and analysis time by 50% compared to conventional methods
- Direct injection after EMR–Lipid treatment minimizes solvent consumption and sample handling
- FLD sensitivity at 380 nm enables reliable quantification of regulatory PAHs at sub-ppb levels
- Versatile approach applicable to crude oils, refining monitoring, and QA/QC in food laboratories
Future trends and opportunities
Emerging directions include coupling rapid lipid removal to mass spectrometric detection for nonfluorescent PAHs, automated on-line cleanup systems, expanded applications to other fatty matrices (e.g., fish oils), and miniaturized sample-preparation devices for high-throughput screening. Further method refinement may focus on solvent-free extraction and integration with real-time process monitoring.
Conclusion
The presented method combines EMR–Lipid cleanup with DACC enrichment and HPLC-FLD to deliver a robust, sensitive, and high-throughput solution for PAH analysis in complex oil matrices. Its strong performance—demonstrated by linearity (R² > 0.999), low detection limits, high recoveries, and excellent precision—supports its adoption in regulatory and industrial laboratories.
References
1. Ifegwu OC, Anyakora C. Polycyclic Aromatic Hydrocarbons: Part I. Exposure. Adv Clin Chem. 2015;72:277–304.
2. Zhang J, et al. Polycyclic Aromatic Hydrocarbons (PAHs) and Antibiotics in Oil-Contaminated Aquaculture Areas. J Hazard Mater. 2022;437.
3. Zelinkova Z, Wenzl T. The Occurrence of 16 EPA PAHs in Food – A Review. Polycycl Aromat Compd. 2015;35:248–284.
4. Commission Regulation (EU) 2023/915 of 25 April 2023 on Maximum Levels for Certain Contaminants in Food. L119/103, 2023.
5. Naegele E. Analysis of PAHs in Edible Oils by Online Enrichment, Matrix Removal and Fluorescence Detection. Agilent Technologies Application Note 5991-2772EN, 2016.
6. Phuah CW, Choo YM, Ma AN, Chuah CH. Degumming and Bleaching Effect on Selected Constituents of Palm Oil. J Oil Palm Res. 2004;16(2):57–63.
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