ArticleChemometrics and intelligent laboratory systems : an international journal sponsored by the Chemometrics Society2020
Peak detection and random forests classification software for gas chromatography/differential mobility spectrometry (GC/DMS) data.
Article in Chemometrics and intelligent laboratory systems : an international journal sponsored by the Chemometrics Society, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
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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
6 citing papers in PubMed.
- Differentiating superficial fungal infection from eczema using a heated dynamic-headspace skin VOC sampler: a hypothesis.Frontiers in medicine · 2026Article
- OpenDMS: An Open-Source Approach to Differential Mobility Spectrometry.Analytical chemistry · 2025Article
- Analysis of GC × GC fingerprints from medicinal materials using a novel contour detection algorithm: A case ofJournal of pharmaceutical analysis · 2024Article
- Non-destructive method to classify walnut kernel freshness from volatile organic compound (VOC) emissions using gas chromatography-differential mobility spectrometry (GC-DMS) and machine learning analysis.Applied food research · 2023Article
- Portable chemical detection platform for on-site monitoring of odorant levels in natural gas.Journal of chromatography. A · 2023Article
- Machine learning and signal processing assisted differential mobility spectrometry (DMS) data analysis for chemical identification.Analytical methods : advancing methods and applications · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
Gas Chromatography/Differential Mobility Spectrometry (GC/DMS) is an effective tool to discern volatile chemicals. The process of correlating GC/DMS data outputs to chemical identities requires time and effort from trained chemists due to lack of commercially available software and the lack of appropriate libraries. This paper describes the coupling of computer vision techniques to develop models for peak detection and can align chemical signatures across datasets. The result is an automatically generated peak table that provides integrated peak areas for the inputted samples. The software was tested against a simulated dataset, whereby the number of detected features highly correlated to the number of actual features (r
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.