ArticleJournal of the American Society for Mass Spectrometry2026
Asynchronous Stepped Fourier Transform Ion Mobility Spectrometry.
Article in Journal of the American Society for Mass Spectrometry, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Fourier Transform is a low-cost method for improving duty cycle, resolving power, and signal-to-noise ratio in the Ion Mobility Spectrometry (IMS) experiment in a 2-gate IMS cell. By simultaneously pulsing both gates through a frequency sweep, the resulting data may be deconvoluted into a time-based mobility spectrum through a Fast Fourier Transform (FT). However, inconsistencies common in low-cost function generators result in spectral artifacts. In this work, an asynchronous stepped frequency FTIMS method is demonstrated, which uses a simple, software timed pulse generator compatible with any modern Analog-Digital Converter (ADC) system. By unlinking the frequency initiation and data collection using a long rise-time amplifier circuit, a stand-alone FTIMS with Faraday Plate detection was characterized in both single gate and FT modes of operation using the same IMS cell. Asynchronous stepped FTIMS parameters were investigated for system optimization with respect to resolving power, signal-to-noise ratio, and experimental time. Once optimized, asynchronous FTIMS demonstrated significant improvements in resolving power and signal-to-noise ratios without a significant increase in experimental time. By unlinking the frequency generation and data analysis, a simple Python script was demonstrated using a variety of commercially available ADC systems ranging in cost from several thousand to several hundred dollars (USD) without sacrificing spectral fidelity. A custom circuit was developed to allow a Raspberry Pi 4 Single Board Computer (SBC) to function as the data acquisition and control (DAC) interface for a low-cost stand-alone FTIMS solution.
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.