Micro-fabricated Ion Filter for FAIMS Saturation Control
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Solution Overview
Problem
Field Asymmetric Ion Mobility Spectrometry (FAIMS) systems face challenges in maintaining reliability and accuracy due to environmental variations and sensitivity to high concentrations of analytes, which can lead to contamination and performance degradation.
Innovation Solution
A micro-fabricated ion filter system coupled with drive signals and measurement systems to extract numerical parameters from ion current data, utilizing a two-dimensional plot of RF voltage and compensation voltage to discriminate between chemicals, and adjusting electric field strength to fragment molecules for molecular classification.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If FAIMS systems operate with high sensitivity to detect trace constituents, then detection capability is improved, but the system becomes susceptible to saturation by high concentrations of analytes or interferents
Solution Approach 1:
The patent applies dynamic control of the dispersion field waveform parameters (amplitude, frequency, duty cycle) to adjust the ion transmission characteristics in real-time. This allows the system to adapt to varying analyte concentrations, preventing saturation while maintaining high sensitivity for trace detection. The dynamic adjustment of field parameters enables the system to handle both low-level impurities and high-concentration analytes effectively.
2Productivity
If FAIMS systems directly sample from ambient environment, then sampling efficiency is improved, but high concentrations of analytes cause saturation and contamination
Solution Approach 1:
The patent implements preliminary dilution of the sampled gas mixture before it enters the FAIMS analysis chamber. This preliminary action reduces the concentration of analytes and interferents to levels that prevent saturation and contamination, while still maintaining efficient sampling from the ambient environment. The dilution step is performed in advance, allowing the high-sensitivity FAIMS system to operate within its optimal detection range.
3Measurement precision
If empirical corrections are determined for all ambient variables, then measurement accuracy is improved, but the process becomes time consuming and laborious
Solution Approach 1:
The patent changes the approach from determining empirical corrections for all ambient variables to using theoretical correction models based on fundamental physical relationships. By relying on established theories of ion mobility and environmental effects, the system achieves high measurement accuracy without the need for time-consuming empirical characterization across multi-dimensional matrices of conditions. This parameter-based theoretical approach significantly reduces the time and labor required while maintaining precision.
4Measurement precision
If FAIMS spectrometers operate at parts-per-billion sensitivity, then detection limit is improved, but direct sampling becomes problematic due to saturation
Solution Approach 1:
The patent employs dynamic control of dispersion field parameters combined with adjustable gas flow rates and dilution factors to maintain optimal operating conditions across a wide range of analyte concentrations. This dynamic adaptability allows the high-sensitivity FAIMS spectrometer to detect parts-per-billion levels without saturation, while also being versatile enough to handle various sampling scenarios including direct and indirect sampling modes.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enhances chemical detection and classification by reducing the impact of environmental conditions and high analyte concentrations, providing more accurate and stable chemical identification and quantification at parts-per-billion levels.
Implementation Method 1
Field Asymmetric Ion Mobility Spectrometry (FAIMS) systems face challenges in maintaining reliability and accuracy
Implementation Method 2
utilizing a two-dimensional plot of RF voltage and compensation voltage to discriminate between chemicals
Implementation Method 3
Coupled to the ion filter is a system adapted to measure the output of the ion filter
Data Source
AI summary
An apparatus, system and method for detecting, identifying, classifying and/or quantifying chemical species in a gas flow using a micro-fabricated ion filter coupled to a system adapted to apply drive signals to the ion filter. Coupled to the ion filter is a system adapted to measure the output of the ion filter, which in turn is coupled to a system adapted to extract numerical parameters from the measured output of the ion filter to facilitate chemical detection, identification, classification and/or quantification of the gas flow.