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Screening for 171 Volatile Organic Air Pollutants Using GC/MS with Deconvolution Reporting Software and a New Indoor Air Toxics Library

Applications | 2006 | Agilent TechnologiesInstrumentation
GC/MSD, Thermal desorption, GC/SQ
Industries
Environmental
Manufacturer
Agilent Technologies, Markes

Summary

Význam tématu


Indoor air often contains hundreds of trace volatile and semivolatile organic compounds emitted from building materials, furnishings, cleaning products and equipment. Many of these VOCs and SVOCs pose health risks even at low concentrations. Rapid and reliable screening of indoor air is essential for exposure assessment, sick-building investigations and quality control in environmental and industrial hygiene.

Cíle a přehled studie / článku


This study presents a new method for comprehensive screening of 171 toxic and potentially irritating VOCs and SVOCs in indoor air. The approach combines thermal desorption (TD) with gas chromatography–mass spectrometry (GC/MS), retention time locking (RTL) and Agilent’s Deconvolution Reporting Software (DRS) coupled to a custom Indoor Air Toxics Library. The method was validated on air samples from an office building and a carpet warehouse, achieving compound identification in 2–3 minutes per run.

Použitá metodika a instrumentace


The overall workflow comprises active sampling, thermal desorption, chromatographic separation, mass spectral deconvolution and library matching. Key steps include:
  • Sample collection on Tenax TA thermal desorption tubes using SKC pocket pumps (200 mL/min, 6–12 L total)
  • Thermal desorption with Markes UNITY™ autosampler: primary desorb at 280 °C, trap at –10 °C, secondary desorb at 300 °C
  • GC/MS analysis on Agilent 6890N GC and 5975 inert MSD operated in scan mode (33–300 u)
  • Retention time locking using toluene or toluene-d8 at fixed head pressure
  • Automated deconvolution with AMDIS and compound identification via DRS against the indoor air library and NIST’05 spectral database

Hlavní výsledky a diskuse


Application of the method to an office air sample identified 88 target compounds, including low-level isomers resolved by deconvolution. In the carpet warehouse, over 100 VOCs and SVOCs were detected, reflecting emissions from new carpeting and store materials. The deconvolution software (AMDIS) effectively extracted clean spectra from overlapping peaks, improving identification confidence. Ambiguous hits were minimized by RT tolerance (±10 s) and a minimum match factor of 60. Optional exclusion of uncertain ions further refined library searches when isomers produced similar spectra.

Přínosy a praktické využití metody


The rapid, automated workflow delivers high-confidence identification of a wide range of indoor air pollutants in under three minutes per sample. This reduces manual interpretation and false positives, supports routine monitoring in occupational hygiene, environmental laboratories and building surveys, and facilitates exposure assessment and regulatory compliance.

Budoucí trendy a možnosti využití


Future developments may include expansion of the compound library to emerging pollutants, integration with high-resolution mass spectrometry, real-time or on-site screening devices, and advanced data analytics for trend monitoring. Combining TD/GC/MS with artificial intelligence could further streamline compound identification and quantification in complex indoor environments.

Závěr


The described TD/GC/MS method with RTL, DRS and a targeted Indoor Air Toxics Library provides a robust, rapid platform for screening 171 VOCs and SVOCs in indoor air. Automated deconvolution and library matching deliver reliable identifications within minutes, making this approach highly suitable for routine environmental and occupational monitoring.

Reference


  1. Physlink. Composition of air at sea level and 15 °C.
  2. US EPA Total Exposure Assessment Methodology studies.
  3. Wylie et al., Agilent Technologies publications on DRS applications.
  4. National Institute of Standards and Technology, AMDIS software documentation.

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