Content hub
From application notes to blogs, news items to infographics, we've got a wealth of advice about VOC and SVOC analysis that we'd like to share with you. Simply use the search function or use the drop-down selectors to filter by content type, sampling method and/or application area to discover more.
FAQ
What causes poor chromatogram peak shape when using thermal desorption?
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FAQ
What is the baseline step near the beginning of my GC–MS run?
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FAQ
How can I prevent high air/water background when using a thermal desorber with GC–MS analysis?
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FAQ
How do I convert peak areas into toluene equivalents?
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FAQ
How do I calibrate my analytical system to quantify an analyte collected on a sorbent tube?
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FAQ
What difference does sorbent mesh size make?
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FAQ
What is the cause of extra peaks in my blanks/samples?
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FAQ
What is the cause of poor reproducibility for liquid-loaded standards?
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FAQ
How do I avoid water saturation when carrying out large-volume sampling of humid air?
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FAQ
How do I calculate a split ratio?
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Application note
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Comprehensive VOC profiling of meat using dynamic headspace and automated TD–GC–MS analysis
Application Note 262
Application note
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Enhanced aroma profiling of vodka using automated immersive high-capacity sorptive extraction with GC–MS
Application Note 261
Application note
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Improving the performance of headspace sampling using trap-based preconcentration
Application Note 259
Application note
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Enhancing laboratory throughput using fully automated high-capacity sorptive extraction
Application Note 258
Application note
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Improving the performance of SPME using trap-based preconcentration with enrichment
Application Note 257
Application note
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Analysis of volatile organic pollutants in water using headspace–trap GC–MS: Maximising performance for ppt-level VOCs
Application Note 256
Application note
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Identifying low-level odorants in wine by automated high-capacity sorptive extraction with GC–MS
Application Note 254
Application note
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Screening foods and beverages for butylated hydroxytoluene (BHT) using automated headspace–trap GC–MS
Application Note 251