Abstract

Common challenge in gas analyzers such as Ion Mobility Spectrometers (IMS) integrated into a measurement system is the reduced analysis speed that is partially limited by the temporal carry-over of sample molecules. It is caused by adsorption and absorption of the molecules into the gas tubes of the analyzer. We studied the recovery times of common tube materials: polyether ether ketone (PEEK), polytetrafluoroethylene (PTFE), fluorinated ethylene propylene (FEP), polyethylene (PE), steel 316 L, parylene C coated steel and Silconert® coated steel from organic combustion products. The tests were performed in two temperatures, at 25 °C and at 70 °C. In addition, detailed analysis was performed for PTFE tube material at 33, 50, 70 and 100 °C to observe the temperature relation of desorption. Uncoated steel was found to have the best performance in increased temperature applications due lack of absorption. Major advantages from coatings compared to plane steel were not found. Plastics were found suitable materials in lower temperatures where adsorption exceeds absorption.

Highlights

  • Gas analyzers based on ion mobility spectrometry (IMS) are used in various application areas such as medicine, process industry, security and research

  • Shortest desorption time at room temperature was obtained with a smaller diameter (3 mm) PTFE tube

  • Silconert®-coated and parylene-coated steel were nearly equal in terms of recovery time

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Summary

Introduction

Gas analyzers based on ion mobility spectrometry (IMS) are used in various application areas such as medicine, process industry, security and research Recovery time can be improved by increasing the temperature, reducing surface area, and by optimizing material selection and filtration. University Hospital, Tampere, Finland methods utilized in the system Heating inherently increases the complexity and energy consumption of the system, reduces the number of applicable materials, and in some cases may affect to the analyte composition by promoting chemical reactions. Minimizing the surface area by reducing of physical dimensions beyond a certain point further complicates the manufacturing of the system, and filtering potentially limits the range of detection

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