Insitu thermal degradation of isopropanol under typical thermal desorption conditions for GC-MS analysis of volatile organic compounds

2014 ◽  
Vol 6 (15) ◽  
pp. 6116-6119 ◽  
Author(s):  
Jiping Zhu ◽  
Matthew Yao ◽  
Yingjie Li ◽  
Cecilia C. Chan

Thermal desorption (TD) coupled with GC has been widely used for the determination of airborne volatile organic compounds (VOCs) due to its effectiveness in detecting a wide range of compounds.

Chemosphere ◽  
2004 ◽  
Vol 56 (1) ◽  
pp. 71-80 ◽  
Author(s):  
Chien-Hou Wu ◽  
Chien-Tai Feng ◽  
Yu-Shiu Lo ◽  
Tsai-Yin Lin ◽  
Jiunn-Guang Lo

Separations ◽  
2018 ◽  
Vol 5 (3) ◽  
pp. 45 ◽  
Author(s):  
Kevin Eckert ◽  
David Carter ◽  
Katelynn Perrault

Volatile organic compounds (VOCs) are monitored in numerous fields using several commercially-available sampling options. Sorbent-based sampling techniques, such as solid-phase microextraction (SPME), provide pre-concentration and focusing of VOCs prior to gas chromatography–mass spectrometry (GC–MS) analysis. This study investigated the dynamics of SPME Arrow, which exhibits an increased sorbent phase volume and improved durability compared to traditional SPME fibers. A volatile reference mixture (VRM) and saturated alkanes mix (SAM) were used to investigate optimal parameters for microbiological VOC profiling in combination with GC–MS analysis. Fiber type, extraction time, desorption time, carryover, and reproducibility were characterized, in addition to a comparison with traditional SPME fibers. The developed method was then applied to longitudinal monitoring of Bacillus subtilis cultures, which represents a ubiquitous microbe in medical, forensic, and agricultural applications. The carbon wide range/polydimethylsiloxane (CWR/PDMS) fiber was found to be optimal for the range of expected VOCs in microbiological profiling, and a statistically significant increase in the majority of VOCs monitored was observed. B. subtilis cultures released a total of 25 VOCs of interest, across three different temporal trend categories (produced, consumed, and equilibrated). This work will assist in providing foundational data for the use of SPME Arrow in future microbiological applications.


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