On-Line Mixture Quantification to Track Temporal Change of Composition Using FAIMS

Area of Science:

• Analytical Chemistry
• Spectroscopy
• Chemical Sensing

Background:

• Accurate and rapid quantification of gas mixtures is crucial for environmental monitoring and industrial process control.
• Field Asymmetric Ion Mobility Spectrometry (FAIMS) offers high sensitivity for detecting trace gases.
• Current FAIMS quantification methods can be time-consuming, limiting real-time applications.

Purpose of the Study:

• To develop and validate an accelerated on-line quantification method for ternary gas mixtures using FAIMS.
• To improve the temporal resolution of FAIMS analysis for tracking dynamic concentration changes.
• To reduce the quantification time for multi-component gas mixtures.

Main Methods:

• Utilized Field Asymmetric Ion Mobility Spectrometry (FAIMS) for on-line analysis.
• Employed a gradient descent method for initial quantification of acetone, ethanol, and diethyl ether mixtures.
• Developed and implemented a feedback control algorithm to expedite the quantification process.

Main Results:

• Successfully quantified ppm-level and sub-ppm-level concentrations of ternary gas mixtures.
• The initial gradient descent method required 10 minutes for quantification.
• The feedback control algorithm significantly reduced quantification time and successfully tracked concentration changes in simulations.

Conclusions:

• The proposed feedback control algorithm enhances the speed of FAIMS-based mixture quantification.
• This advancement enables real-time monitoring of temporal concentration variations in gas mixtures.
• FAIMS coupled with feedback control presents a promising approach for rapid chemical sensing applications.