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Glucose emission spectra through mid-infrared passive spectroscopic imaging of the wrist for non-invasive glucose sensing

Scientific Reports 2022 34 citations ? Citation count from OpenAlex, updated daily. May differ slightly from the publisher's own count. Score: 40 ? 0–100 AI score estimating relevance to the microplastics field. Papers below 30 are filtered from public browse.
Tomoya Kitazaki, Tomoya Kitazaki, Ichiro Ishimaru Ichiro Ishimaru, Yusuke Morimoto, Yusuke Morimoto, So Yamashita, So Yamashita, Tomoya Kitazaki, Daichi Anabuki, Daichi Anabuki, Tomoya Kitazaki, Tomoya Kitazaki, Shiori Tahara, Shiori Tahara, Tomoya Kitazaki, Akira Nishiyama, Kenji Wada, Kenji Wada, Kenji Wada, Ichiro Ishimaru, Akira Nishiyama, Akira Nishiyama, Ichiro Ishimaru Ichiro Ishimaru Ichiro Ishimaru, Ichiro Ishimaru, Ichiro Ishimaru

Summary

Researchers demonstrated that mid-infrared spectroscopic imaging can detect glucose levels in the human wrist from a distance by measuring the body's natural heat radiation, showing strong correlation with blood glucose readings from standard invasive sensors. This technology could enable non-invasive, real-time glucose monitoring for diabetic patients without needles or skin contact.

Non-invasive blood glucose sensing can be achieved using mid-infrared spectroscopy, although no practical device based on this method has yet been developed. Here, we propose mid-infrared passive spectroscopic imaging for glucose measurements from a distance. Spectroscopic imaging of thermal radiation from the human body enabled, for the first time in the world, the detection of glucose-induced luminescence from a distance. In addition, glucose emission spectra of the wrist acquired at regular intervals up to 60 min showed that there was a strong correlation between the glucose emission intensity and blood glucose level measured using an invasive sensor. Thus, the new technology proposed here is expected to be applied to real-time monitoring of diabetic patients to detect hypoglycemic attacks during sleep and to detect hyperglycemia in a population. Moreover, this technology could lead to innovations that would make it possible to remotely measure a variety of substances.

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