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Comparative Analysis of Air Sampling Strategies for VOC Monitoring using TD- GCMS Along with Chemometrics Study to Enhance Understanding of Complex Samples

Posters | 2025 | Agilent Technologies | ASMSInstrumentation
GC/MSD, GC/SQ, Thermal desorption
Industries
Environmental
Manufacturer
Agilent Technologies, Markes

Summary

Significance of the topic


Monitoring volatile organic compounds (VOCs) in air is essential for evaluating industrial and urban air quality due to their health and environmental impact. Persistent VOCs contribute to ozone formation and secondary aerosols, requiring robust sampling strategies for effective pollution control.

Study objectives and overview


Compare active and passive sampling approaches for VOC monitoring using thermal desorption–gas chromatography–mass spectrometry (TD–GC–MS) and apply chemometric tools to interpret complex datasets.

Methodology


Two sampling protocols were implemented:
  • Active sampling: Pump-driven collection at 20 ml/min for 1 h on sorbent tubes at industrial, traffic, petrol station, and residential sites.
  • Passive sampling: Diffusive collection over 24 h, 1 week, and 2 weeks in industrial and residential locations using field-station–mounted sorbent tubes.

All samples were analyzed by TD–GC–MS; data were processed using Mass Profiler Professional for statistical evaluation.

Instrumentation


  • Agilent 8890 gas chromatograph coupled to 5977C mass selective detector.
  • Markes TD100-xr thermal desorber system.
  • ACTI-VOC pumps and Markes IS5182 sorbent tubes for active sampling.
  • Field station housings and IS5182 diffusive tubes for passive sampling.

Results and discussion


Active sampling identified key VOCs—including benzene, toluene, ethylbenzene, and xylenes—with higher concentrations at traffic and industrial sites and lower in residential areas. Cluster analysis revealed site-specific compound patterns and unique markers such as pentamethylhexadecane in industrial samples and trichloroethylene in residential samples.

Passive sampling showed increasing chromatographic peak intensities with longer exposure times; one-week deployments offered stable replicates. Principal component analysis highlighted clear separation of samples by duration and location.

Quantitative BTEX results (ng/L):
  • Active sampling: benzene ranged from 1.4 to 49.2; toluene 39.5 to 193.3; ethylbenzene 9.7 to 191.1; 1,3-xylene 16.4 to 234.8.
  • Passive sampling: benzene 6.8 to 25.1; toluene 47.3 to 101.3; ethylbenzene 6.7 to 175.1; 1,3-xylene 35.6 to 158.7.

Benefits and practical applications


  • Active sampling delivers rapid results for near-real-time monitoring.
  • Passive sampling supports long-term trend analysis with minimal logistics.
  • Chemometric visualization facilitates data interpretation and source differentiation.

Future trends and opportunities


Developments in real-time sensing, portable TD–GC–MS instruments, integration with IoT networks, and machine learning algorithms are expected to enhance VOC monitoring accuracy and responsiveness.

Conclusion


A combined sampling strategy provides comprehensive qualitative and quantitative VOC profiles. Selection of active or passive methods should align with monitoring objectives, whether rapid detection or extended surveillance.

References


  1. US EPA. Compendium Method TO-17: Determination of volatile organic compounds in ambient air using active sampling onto sorbent tubes. 1999.
  2. Mas S., de Juan A., Tauler R., Olivieri A.C., Escandar G.M. Application of chemometric methods to environmental analysis of organic pollutants: A review. Talanta. 2010;80(3):1052–1067.
  3. US EPA. Technical Overview of Volatile Organic Compounds. 2020.

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