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Volatile chemicals emitted from the human body reflect internal chemical and surface physical conditions. This article describes a biofluorometric gas-imaging method that combines enzymatic reactions with sensitive fluorescence detection to visualize their spatiotemporal distributions, which is useful for locating gas release sites; e.g., the system identified the ear region as suitable for non-invasive metabolic monitoring. A newly developed dual-wavelength imaging also enabled independent imaging of different compounds in the same region of interest. In the future, integrating gas distributions with multimodal images of texture, shape, temperature, and other properties into advanced AI analysis may uncover latent information unavailable from individual imaging modalities.
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Iitani et al. (2026) studied this question.
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