ArticleACS omega2026
Image-Based Volatile Organic Compound Identification Using the Cosine Similarity Method.
Article in ACS omega, 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
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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.
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Accurate detection and identification of volatile organic compounds (VOCs) is critical for environmental monitoring, industrial safety, and human health. Currently, microsensor-based VOC detection techniques mainly rely on electrical or frequency-based readout signals, which cannot be used for the identification of chemicals. Herein, we present a visual and intuitive method for identifying VOCs. Our technique is based on the analysis of images generated by photoionization of gas samples using a helium-based dielectric plasma detector. The helium plasma color change upon sample injection is recorded by a standard phone camera. The specific plasma images corresponding to VOC injections are extracted from the recorded videos. VOCs (
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Registered trials
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