Prediction of blood glucose using interstitial fluid extracted by ultrasound and vacuum

Dachao Li; Haixia Yu; Xian Huang; Fuxiang Huang; Xiaotang Hu; Kexin Xu

doi:10.1117/12.699691

14 February 2007 Prediction of blood glucose using interstitial fluid extracted by ultrasound and vacuum

Dachao Li, Haixia Yu, Xian Huang, Fuxiang Huang, Xiaotang Hu, Kexin Xu

Proceedings Volume 6445, Optical Diagnostics and Sensing VII; 64450I (2007) https://doi.org/10.1117/12.699691
Event: SPIE BiOS, 2007, San Jose, California, United States

Abstract

Prediction of blood glucose using interstitial fluid extracted by ultrasound and vacuum is proposed by the paper. Low-frequency ultrasound with 55 KHz is applied for about 30 seconds to enhance the skin permeability to interstitial fluid by disrupting the stratum corneum lipid bilayers and then interstitial fluid is extracted out of skin successfully by 10in.Hg vacuum for 15 minutes. The glucose concentration in the interstitial fluid is measured by an instrument with immobilized enzyme sensor. And then a method of data analysis is set up to prediction the glucose concentration in the blood by the measurement of the glucose concentration in the interstitial fluid. At last, Clarke Error Grid analysis is performed to assess if the prediction accuracy could satisfy the requirements of clinical application. The whole method and experimental system above is set up in the article and the feasibility of this way for blood glucose detecting is primarily validated for clinical application with the requirements of bloodless, painless, continuous glucose monitoring. Additional a prototype of miniature diabetes monitoring device with the technique of surface plasma resonance to measure the glucose concentration in the interstitial fluid is also being developed.

Citation Download Citation

Dachao Li, Haixia Yu, Xian Huang, Fuxiang Huang, Xiaotang Hu, and Kexin Xu "Prediction of blood glucose using interstitial fluid extracted by ultrasound and vacuum", Proc. SPIE 6445, Optical Diagnostics and Sensing VII, 64450I (14 February 2007); https://doi.org/10.1117/12.699691

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