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Application note
Improving the performance of SPME using trap-based preconcentration with enrichment
Application Note 257
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Application note
Enhancing laboratory throughput using fully automated high-capacity sorptive extraction
Application Note 258
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Application note
Improving the performance of headspace sampling using trap-based preconcentration
Application Note 259
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Application note
Enhanced aroma profiling of vodka using automated immersive high-capacity sorptive extraction with GC–MS
Application Note 261
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Application note
Comprehensive VOC profiling of meat using dynamic headspace and automated TD–GC–MS analysis
Application Note 262
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Application note
Enhancing the sensitivity of headspace analysis using large volume preconcentration (LVP) – Trace-level GC–MS analysis of VOCs in foods and beverages
Application Note 264
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Application note
Enhancing sensitivity for headspace and headspace-SPME analysis: The benefits of a trap-based approach
Application Note 267
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Application note
Enhancing the performance of SPME and sorptive extraction for GC–MS using trap-based preconcentration
Application Note 268
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Application note
Trace-level analysis of VOCs in a tomato product using headspace extraction with large volume preconcentration (LVP) and multi-step enrichment (MSE)
Application Note 270
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