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Quantitative Chemical Analysis of Volatile Compounds via Headspace-Solid Phase Microextraction (HS-SPME) Coupled with Inverse Gas Chromatography (IGC)

ty10086 提交于 周四, 08/26/2021 - 13:16
Abstract(#br)The compositions of volatile compounds in headspace (HS) analyzed by a solid phase microextraction (SPME) sampling method usually differ from true compositions mainly because the partition coefficients for these compounds between headspace and a SPME fiber are not equal. In this paper we report an analytical strategy to more accurately quantify relative compositions of selected hydrocarbons present in gasoline residue by employing inverse gas chromatography (IGC) coupled with a HS-SPME sampling method.

Versatile in silico modeling of partition coefficients of organic compounds in polydimethylsiloxane using linear and nonlinear methods

ty10086 提交于 周四, 08/26/2021 - 12:44
Abstract(#br)Environmental fate, behavior and effects of hazardous organic compounds have recently received great attention in diverse environmental phases, including water, atmosphere, soil and sediment. Considering polydimethylsiloxane (PDMS) fibers were validated for the wide application in the determination of partition behavior in passive sampling, in this work, several in silico models were established to predict PDMS-water ( K PDMS-w ), PDMS-air ( K PDMS-a ) and PDMS-seawater partition coefficients ( K PDMS-sw ) of diverse chemicals.