2025-12-03 マサチューセッツ工科大学(MIT)
A noninvasive blood-glucose monitoring method developed at MIT could spare diabetes patients from frequent finger pricks and potentially replace traditional monitoring devices.Credit: Christine Daniloff, MIT
<関連情報>
- https://news.mit.edu/2025/noninvasive-imaging-could-replace-finger-pricks-diabetes-1203
- https://pubs.acs.org/doi/10.1021/acs.analchem.5c01146
- https://www.science.org/doi/10.1126/sciadv.aay5206
- https://pubs.acs.org/doi/full/10.1021/ac100810e
バンドパスラマン分光法がコンパクトなPOC(ポイントオブケア)非侵襲性持続血糖モニタリングを実現 Band-Pass Raman Spectroscopy Unlocks Compact Point-of-Care Noninvasive Continuous Glucose Monitoring
Arianna Bresci,Youngkyu Kim,Miyeon Jue,Peter T. C. So,Jeon Woong Kang
Analytical Chemistry Published: December 4, 2025
DOI:https://doi.org/10.1021/acs.analchem.5c01146
Abstract
Noninvasive blood glucose monitoring with precision comparable to standard invasive or minimally invasive methods has been a long-sought goal, especially as diabetes rates soar, with 592 million cases worldwide expected by 2035. Various optical and spectroscopic technologies have challenged noninvasive continuous glucose monitoring (CGM), but most methods fail to detect physiological levels or lack miniaturization for practical use. Based on our previous success in direct observation of glucose signals from in vivo skin, we developed a band-pass Raman spectroscopy method that enables noninvasive, physiological-level CGM in a compact device. Using off-axis 830 nm near-infrared illumination and intraspectrum reference, we eliminate most elastically scattered photons, revealing the glucose Raman signal through an amplified photodetector, while compensating for background variations. Our approach, validated on both tissue phantoms and in vivo human skin, overcomes bulky spectrometers and makes portable Raman-based CGM devices a reality.
生体内ラマン分光法を用いたグルコース指紋の直接観察 Direct observation of glucose fingerprint using in vivo Raman spectroscopy
Jeon Woong Kang, Yun Sang Park, Hojun Chang, Woochang Lee, […] , and Peter T. C. So
Science Advances Published:24 Jan 2020
DOI:https://doi.org/10.1126/sciadv.aay5206
Abstract
Noninvasive blood glucose monitoring has been a long-standing dream in diabetes management. The use of Raman spectroscopy, with its molecular specificity, has been investigated in this regard over the past decade. Previous studies reported on glucose sensing based on indirect evidence such as statistical correlation to the reference glucose concentration. However, these claims fail to demonstrate glucose Raman peaks, which has raised questions regarding the effectiveness of Raman spectroscopy for glucose sensing. Here, we demonstrate the first direct observation of glucose Raman peaks from in vivo skin. The signal intensities varied proportional to the reference glucose concentrations in three live swine glucose clamping experiments. Tracking spectral intensity based on linearity enabled accurate prospective prediction in within-subject and intersubject models. Our direct demonstration of glucose signal may quiet the long debate about whether glucose Raman spectra can be measured in vivo in transcutaneous glucose sensing.
生理的血糖動態のモデル化による非侵襲的血糖モニタリングのための正確な分光較正 Accurate Spectroscopic Calibration for Noninvasive Glucose Monitoring by Modeling the Physiological Glucose Dynamics
Ishan Barman,Chae-Ryon Kong,Gajendra P. Singh,Ramachandra R. Dasari,Michael S. Feld
Analytical Chemistry Published: June 24, 2010
DOI:https://doi.org/10.1021/ac100810e
Abstract
The physiological lag between blood and interstitial fluid (ISF) glucose is a major challenge for noninvasive glucose concentration measurements. This is a particular problem for spectroscopic techniques, which predominantly probe ISF glucose, creating inconsistencies in calibration, where blood glucose measurements are used as a reference. To overcome this problem, we present a dynamic concentration correction (DCC) scheme, based on the mass transfer of glucose between blood and ISF, to ensure consistency with the spectral measurements. The proposed formalism allows the transformation of glucose in the concentration domain, ensuring consistency with the acquired spectra in the calibration model. Taking Raman spectroscopy as a specific example, we demonstrate that the predicted glucose concentrations using the DCC-based calibration model closely match the measured glucose concentrations, while those generated with the conventional calibration methods show significantly larger deviations from the measured values. In addition, we provide an analytical formula for a previously unidentified source of limiting uncertainty arising in spectroscopic glucose monitoring from a lack of knowledge of glucose kinetics in prediction samples. A study with human volunteers undergoing glucose tolerance tests indicates that this lag uncertainty, which is comparable in magnitude to the uncertainty arising from noise and nonorthogonality in the spectral data set, can be reduced substantially by employing the DCC scheme in spectroscopic calibration.
