Literature DB >> 30771926

Non-invasive blood glucose measurement of 95% certainty by pressure regulated Mid-IR.

Jason Yuanzhe Chen1, Qi Zhou2, Gu Xu3, Ryan Taoran Wang1, Edward Guangqing Tai1, Longhan Xie4, Qianzhi Zhang5, Yanyan Guan5, Xiaochun Huang6.   

Abstract

To fight against diabetes mellitus, from which more than 400 million people suffer in the world, the patients have to puncture their fingers 4-5 times a day for the blood glucose level checks when using a glucometer, causing invasive pain and the risk of infection. Therefore, non-invasive method has been urged for blood glucose monitoring, among which the mid-infrared spectroscopy (Mid-IR) response of interstitial fluid was found to be promising. However, despite the prolonged effort, the accuracy still falls below the FDA's requirement. To break this barrier which lasted for almost three decades, we discovered the finger contact pressure playing a critical role during the measurement, where the Mid-IR reading could be affected significantly by a small change of the finger posture. In addition, the Mid-IR absorption level was also found to be highly associated with individual, revealing the necessity of adjusting the calibration correlation for each patient. By imposing a certain contact pressure monitored by a pressure transducer, we were able to achieve over 95% certainty from the Mid-IR measurement of glucose concentration and 100% comparability to the "true" glucose concentration for the first time, which was mainly attributed to the morphological change of finger tissue under pressure. The previous works resulted in only about 70% accuracy on average, barely hitting 80 + %, whereas ours reaches 95%, finally exceeding the requirement of FDA.
Copyright © 2019 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Diabetes; Glucose in vivo; Mid-infrared; Non-invasive; Pressure; Sensor

Mesh:

Substances:

Year:  2019        PMID: 30771926     DOI: 10.1016/j.talanta.2019.01.034

Source DB:  PubMed          Journal:  Talanta        ISSN: 0039-9140            Impact factor:   6.057


  2 in total

1.  Non-Invasive Glucose Monitoring Using Optical Sensor and Machine Learning Techniques for Diabetes Applications.

Authors:  Maryamsadat Shokrekhodaei; David P Cistola; Robert C Roberts; Stella Quinones
Journal:  IEEE Access       Date:  2021-05-11       Impact factor: 3.367

2.  Microfluidic microwave biosensor based on biomimetic materials for the quantitative detection of glucose.

Authors:  Mengqi Zhang; Xiaojun Yang; Mengna Ren; Sui Mao; Rajendra Dhakal; Nam-Young Kim; Yuanyue Li; Zhao Yao
Journal:  Sci Rep       Date:  2022-09-24       Impact factor: 4.996

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.