应用报告-思聚仪器仪表（上海）有限公司

Centri 262 Comprehensive VOC profiling of meat using dynamic headspace and automated TD–GC–MS analysis This study shows that data acquired using the Centri® automated multi-mode sampling and preconcentration system for gas chromatography–mass spectrometry (GC–MS) can be used to generate useful insights into the aroma profiles of foods. In the example investigated, the dynamic headspace profiles of two cuts of lean steak were sampled at elevated temperature onto sorbent tubes, with subsequent preconcentration on Centri. Over 140 VOCs and SVOCs from a variety of chemical classes were identified, with the detection of a range of sulfur species demonstrating the inertness of the Centri flowpath and the use of optimised sorbent tubes and desorption conditions.
Centri 261 Enhanced aroma profiling of vodka using automated immersive high-capacity sorptive extraction with GC–MS This study shows the advantages of immersive sorptive extraction, using high-capacity HiSorb probes, for the gas chromatography–mass spectrometry (GC–MS) analysis of a wide range of aroma compounds in vodka. Key benefits include full automation on the Centri multi-mode sampling and concentration system, re-collection for repeat analysis of a single sample under different conditions, and selective purging of ethanol.
Centri 259 Improving the performance of headspace sampling using trap-based preconcentration This study shows how large-volume and splitless injections can be used to improve the sensitivity of headspace sampling without compromising chromatography, as well as simplifying method development.
Centri 258 Enhancing laboratory throughput using fully automated high-capacity sorptive extraction This report describes how laboratory throughput for sampling of volatiles from liquid or solid matrices can be more than doubled, by using HiSorb high-capacity sorptive extraction on the Centri automated multi-mode sampling and preconcentration platform.
Centri 257 Improving the performance of SPME using trap-based preconcentration with enrichment This study shows that enhancing conventional SPME by using trap-based preconcentration, with enrichment by ‘sample stacking’, greatly improves the number of compounds identified, thus expanding the applicability of SPME in GC–MS analysis.
全二维气相应用指南 20 世纪70 年代，GC × GC 首次引起人们关注，然而，多年以来传统GC–MS 技术依然发展迅速，这意味着尽管新技术具有卓越的分离性能，但并不值得运用如此额外复杂的技术。由于硬件和软件的进步，这种情况已经大为改观，GC × GC 现在广泛应用于各种领域。本指南仅仅展示GCxGC全二维气相部分最重要的应用。
Centri 256 Analysis of volatile organic pollutants in water using headspace–trap GC–MS: Maximising performance for ppt-level VOCs This study demonstrates the analysis of a broad range of trace-level volatile organic compounds in drinking water using the headspace–trap sampling mode of the Centri automated multi-mode sampling and concentration system. Analysis of a 72-component standard mix using GC–MS with selected ion monitoring (SIM) acquisition provided mean detection limits as low as 2 ppt, with excellent mean linearities (R2 0.999), recoveries (97.8%) and repeatabilities (4.7% RSD) – performance that is comfortably lower than required by all major regulations. In addition, tap water was analysed and found to contain a range of VOCs at low-to-medium levels (2–200 ppt), in addition to ppb-level chlorinated compounds.

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