Development of Solid-Phase Extraction Method for Simultaneous Analysis of Semi-Volatile Organic Compounds Using a GC-MS Database System

Significance of Topic

This study addresses the growing need for efficient, simultaneous multi-component analysis of semi-volatile organic compounds (SVOCs) in environmental water samples. Traditional liquid–liquid extraction methods require large solvent volumes and multiple preparations. By combining solid-phase extraction (SPE) with an automated GC-MS database system (AIQS-DB), the proposed method minimizes solvent use, reduces environmental impact, and enables rapid screening of hundreds of SVOCs.

Objectives and Study Overview

The primary goal was to develop and validate a comprehensive SVOC extraction procedure using SPE coupled with AIQS-DB for simultaneous identification and quantification of nearly 1,000 registered compounds. Key steps involved selecting optimal SPE sorbents, determining the ideal extraction pH, comparing performance to dichloromethane liquid–liquid extraction (DCM-LLE), and testing real water samples (seawater, river water, sewage effluent).

Methodology and Instrumentation

Sorbent selection:

• Hydrophilic styrene-divinylbenzene (SDVB) polymer (PLS3) and activated carbon (AC2) cartridges coupled in series.
• Seven sorbent types tested for recovery across polarity range (log P –0.65 to 15.07).

Extraction parameters:

• Sample volume: 1 L spiked with 202 model compounds (0.5 µg/L).
• Optimal pH: 7.0 phosphate buffer determined by recovery tests.
• Sequential elution: acetone and dichloromethane, concentration under nitrogen, hexane exchange, and GC-MS analysis.

Instrumentation:

• Shimadzu GCMS-QP2010 Ultra with GCMSsolution software.
• DB-5ms capillary column; scan range m/z 45–600; splitless injection.

Main Results and Discussion

– In purified water spikes, SPE recoveries exceeded 50 % for 193 of 202 substances; comparable to DCM-LLE.
– Method detection limits ranged from 0.012 to 0.082 µg/L (average 0.029 µg/L) for 193 analytes.
– Real sample testing detected 39 contaminants across industrial, agricultural, and domestic origins (e.g., 1,2-dichlorobenzene, pesticides, pharmaceuticals, sterols).
– Average surrogate recoveries were above 60 % in real matrices, demonstrating robustness despite matrix effects on polar and volatile analytes.

Benefits and Practical Applications

– Low solvent consumption and reduced waste compared to traditional LLE.
– Rapid simultaneous screening of broad SVOC classes (hydrocarbons, phenols, pesticides, pharmaceuticals).
– Eliminates the need for individual calibration standards; AIQS-DB provides automatic identification and quantification.
– Suitable for environmental monitoring, emergency contamination assessments, and quality-control screening in laboratories.

Future Trends and Potential Applications

– Expansion of compound libraries in AIQS-DB to cover emerging contaminants (PFAS, new pesticides).
– Integration with high-throughput sample preparation robotics for large-scale monitoring programs.
– Adaptation to on-site SPE and portable GC-MS systems for real-time field analysis.
– Further optimization of sorbent chemistries to improve recovery of ultra-polar or highly volatile SVOCs.

Conclusion

The combination of SPE (hydrophilic SDVB + activated carbon) at pH 7.0 with AIQS-DB GC-MS analysis delivers a low-impact, high-throughput method for simultaneous SVOC profiling in diverse water matrices. The approach matches conventional LLE in performance while streamlining workflows and broadening analytical scope.

References

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