Development and Optimization for a Comprehensive LC/MS/MS Method for the Detection of 74 PFAS Compounds
Applications | 2026 | Agilent TechnologiesInstrumentation
Per- and polyfluoroalkyl substances (PFAS) are persistent, bioaccumulative contaminants widely detected in food, water, and the environment. Dietary exposure through animal-derived products such as meat, eggs, and dairy is a critical public health concern. Sensitive, comprehensive analytical methods are essential for monitoring PFAS levels, ensuring food safety, and guiding regulatory decisions.
This work aimed to develop and optimize a targeted LC/MS/MS method for the simultaneous detection of 74 PFAS compounds across diverse chemical classes. Key objectives included refining mixed standard preparation, achieving baseline separation from interfering bile acids, and implementing an injection programming strategy to minimize matrix-related background signals in complex animal‐derived extracts.
Sample Preparation and Calibration:
The optimized Agilent LC/MS/MS method delivers sensitive, reproducible detection of 74 PFAS in complex food matrices. Strategic improvements in standard preparation, chromatographic separation, and injection programming yield a robust platform for food safety monitoring and environmental research.
LC/MS, LC/MS/MS, LC/QQQ
IndustriesFood & Agriculture
ManufacturerAgilent Technologies
Summary
Significance of the Topic
Per- and polyfluoroalkyl substances (PFAS) are persistent, bioaccumulative contaminants widely detected in food, water, and the environment. Dietary exposure through animal-derived products such as meat, eggs, and dairy is a critical public health concern. Sensitive, comprehensive analytical methods are essential for monitoring PFAS levels, ensuring food safety, and guiding regulatory decisions.
Objectives and Overview of the Study
This work aimed to develop and optimize a targeted LC/MS/MS method for the simultaneous detection of 74 PFAS compounds across diverse chemical classes. Key objectives included refining mixed standard preparation, achieving baseline separation from interfering bile acids, and implementing an injection programming strategy to minimize matrix-related background signals in complex animal‐derived extracts.
Methodology and Instrumentation
Sample Preparation and Calibration:
- QuEChERS extraction with 1% formic acid to enhance peak shape and ionization efficiency.
- Mixed standards prepared immediately before use; FTCAs and FTUCAs dissolved in isopropanol to prevent degradation.
- Fresh calibration curves generated per extraction batch to address stability and contamination issues.
- Agilent 1290 Infinity III LC with PFC-free conversion kit, ZORBAX Eclipse Plus guard and analytical columns.
- 12-min gradient from 0% to 100% methanol containing 2 mM ammonium acetate at 50 °C.
- Agilent 6495D triple quadrupole MS in negative ion mode with Jet Stream source; MRM transitions and source parameters optimized via MassHunter.
- Agilent 1290 Infinity III LC System (G7120A pump, G7167B multisampler, G7116A thermostat).
- Agilent InfinityLab PFC-free HPLC conversion kit.
- Agilent 6495D Triple Quadrupole LC/MS with Jet Stream source.
- Agilent MassHunter Workstation software for data acquisition and analysis.
Main Results and Discussion
- Chromatographic Separation: All 74 PFAS achieved baseline resolution within a 12-min run; PFOS was fully resolved from isobaric bile acids (TDCA, TUDCA, TCDCA).
- Sensitivity: 70% of analytes exhibited instrument detection limits below 10 pg/mL on-column; calibration curves spanned 0.01–200 ng/mL with R² > 0.992.
- Precision: Interday RSDs at low and high concentration spikes averaged 2–4% for most compounds.
- Analytical Challenges: FTCAs, PFPAs, and PAPs showed higher IDLs due to poor ionization; diSAmPAP displayed multiple unresolved peaks, addressed via spectral summation integration.
- Contamination Control: Cross-contamination in commercial stocks (e.g., Capstone, Nafion byproduct) necessitated batch-specific validation and exclusion from master mixes.
- Injection Programming: Inline addition of formic acid improved early-eluting PFAS peak shapes while controlling background noise.
Benefits and Practical Applications
- Comprehensive Coverage: Enables simultaneous quantification of 74 PFAS, supporting regulatory compliance and food safety surveillance.
- Robust Performance: High sensitivity and reproducibility across diverse food matrices.
- Adaptability: While optimized for animal-derived samples, the method can be applied to other matrices with minimal modification.
Future Trends and Applications
- Extension to Emerging PFAS: Incorporating novel PFAS structures and transformation products.
- High-Throughput Automation: Integration with online SPE and robotics for large-scale monitoring.
- High-Resolution MS Screening: Non-targeted and suspect screening of unknown PFAS.
- Method Harmonization: Standardization across laboratories and regulatory bodies to enable comparable data.
Conclusion
The optimized Agilent LC/MS/MS method delivers sensitive, reproducible detection of 74 PFAS in complex food matrices. Strategic improvements in standard preparation, chromatographic separation, and injection programming yield a robust platform for food safety monitoring and environmental research.
Reference
- Pasecnaja E., Bartkevics V., Zacs D. Occurrence of Selected PFASs in Food. Chemosphere. 2022;287:132378.
- Domingo J.L., Nadal M. PFASs in Food and Dietary Intake: Literature Review. J. Agric. Food Chem. 2017;65:533–543.
- Sapozhnikova Y. et al. PFAS Accumulation in Fish from East Canyon Creek. Environ. Res. 2025;266:120480.
- Alsen M. et al. Endocrine Disrupting Chemicals and Thyroid Cancer. Toxics. 2021;9:14.
- DeWitt J.C. et al. Antibody Response Suppression by PFOA. J. Immunotoxicol. 2016;13:38–45.
- Ahrens L. Polyfluoroalkyl Compounds in Aquatic Environment. J. Environ. Monit. 2011;13:20–31.
- Schrenk D. et al. PFAS in Food: EFSA Risk Assessment. EFSA J. 2020;18:e06223.
- Genualdi S. et al. PFAS in Foods from FDA Total Diet Study. J. Agric. Food Chem. 2021;69:5599–5606.
- US EPA. PFAS Analysis by LC/MS/MS Method 1633 (Draft). 2023.
- USDA FSIS. PFAS Screening and Confirmation by UHPLC-MS/MS CLG-PFAS 2.04. 2023.
- US FDA. Determination of 30 PFAS in Food by LC-MS/MS. CAM. 2023.
- Stroski K.M., Sapozhnikova Y. 74 PFAS in Animal-Origin Foods by LC-MS/MS. Anal. Chim. Acta. 2025;1364:344216.
- Parra N.P., Taylor L. IDL Metric for LC/MS Sensitivity. Agilent Techn. Overview. 2014;5991-4089EN.
- De Silva A.O. et al. diPAPs, PFPAs, PFPIAs in Indoor Dust. Environ. Sci. Technol. 2012;46:12575–12582.
- Wang Z. et al. Environmental Hazard Assessment of PFPAs and PFPiAs. Environ. Int. 2016;89-90:235–247.
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