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Magnetic Sector GC-HRMS - Dioxin and POPs applications

Others | 2018 | Thermo Fisher ScientificInstrumentation
GC/MSD, GC/HRMS
Industries
Environmental, Food & Agriculture
Manufacturer
Thermo Fisher Scientific

Summary

Importance of the Topic


Persistent organic pollutants (POPs), such as dioxins and furans, pose serious risks to human health and the environment due to their toxicity, persistence, and tendency to bioaccumulate. Accurate, ultra-trace analysis of these compounds is critical for monitoring environmental contamination, enforcing regulatory limits, and ensuring food and feed safety. Advanced instrumentation that delivers both high sensitivity and strong resistance to complex sample matrices is essential for laboratories to meet global compliance requirements.

Objectives and Study Overview


This whitepaper examines the performance and applications of the DFS Magnetic Sector GC-HRMS system for routine quantitation of dioxins and other POPs. It outlines how the technology supports official methods worldwide and addresses key analytical challenges, including sensitivity, selectivity, and robustness in diverse sample types.

Methodology and Instrumentation


The analytical workflow combines gas chromatography (GC) with high-resolution magnetic sector mass spectrometry (HRMS). The GC module separates complex mixtures, while the magnetic sector mass analyzer provides mass resolution sufficient to distinguish target analytes from coeluting interferences. Sample preparation follows established extraction and cleanup procedures tailored to environmental and food matrices, ensuring reproducible, defendable results.

Used Instrumentation


  • DFS Magnetic Sector GC-HRMS system (Thermo Scientific) featuring: high-resolution mass analyzer for exact mass measurement, stable magnetic sector technology, and robust operational performance.
  • Standardized sample extraction and cleanup systems designed for dioxins, furans, PCBs, PBDEs, pesticides, hormones, and other POP classes.

Main Results and Discussion


The DFS Magnetic Sector GC-HRMS demonstrates consistent detection limits in the low femtogram range, even in highly contaminated or challenging matrices. Performance evaluations confirm its ability to meet or exceed sensitivity and selectivity requirements of official regulatory methods. Key regulatory approvals include:
  • European standards: EN 16215, EN 1948, EU Regulatory Feed Control.
  • US EPA methods: 1613B, 1614, Method 23, Method 8290, Method 1668, Method 1699, Method 1698.
  • Japanese standards: JIS K0311, JIS K0312.

This broad acceptance underscores the system’s global compliance and its suitability for both environmental monitoring and food safety testing.

Benefits and Practical Applications


  • Ultra-trace quantitation down to femtogram levels ensures detection well below regulatory maximum limits.
  • High matrix tolerance enables reliable analysis of soil, water, sediments, food, feed, and biological tissues.
  • Comprehensive regulatory compliance simplifies validation and reporting for laboratories worldwide.
  • Defendable confirmatory data reduces the risk of false positives and false negatives in critical safety assessments.

Future Trends and Opportunities


Ongoing developments in regulatory requirements are driving even lower detection thresholds and expanded analyte lists. Future opportunities include integration of automated sample preparation, coupling HRMS with novel separation techniques, advanced data processing algorithms for pattern recognition, and miniaturized field-deployable systems. These innovations will further enhance throughput, reduce analysis time, and broaden the scope of trace contaminant monitoring.

Conclusion


The DFS Magnetic Sector GC-HRMS represents the gold standard for routine quantitative analysis of dioxins and POPs. Its combination of unmatched sensitivity, selectivity, and global method approvals makes it an indispensable tool for laboratories focused on environmental protection and food safety compliance.

Content was automatically generated from an orignal PDF document using AI and may contain inaccuracies.

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