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Non-invasive platform to estimate fasting blood glucose levels from salivary electrochemical parameters.

著者 Malik S , Parikh H , Shah N , Anand S , Gupta S
Healthc Technol Lett.2019 Aug ; 6(4):87-91.
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Diabetes is a metabolic disorder that affects more than 400 million people worldwide. Most existing approaches for measuring fasting blood glucose levels (FBGLs) are invasive. This work presents a proof-of-concept study in which saliva is used as a proxy biofluid to estimate FBGL. Saliva collected from 175 volunteers was analysed using portable, handheld sensors to measure its electrochemical properties such as conductivity, redox potential, pH and K, Na and Ca ionic concentrations. These data, along with the person's gender and age, were trained and tested after casewise annotation with their true FBGL values using a set of mathematical algorithms. An accuracy of 87.4 ± 1.7% and a mean relative deviation of 14.1% ( = 0.76) was achieved using a mathematical algorithm. All parameters except the gender were found to play a key role in the FBGL determination process. Finally, the individual electrochemical sensors were integrated into a single platform and interfaced with the authors' algorithm through a simple graphical user interface. The system was revalidated on 60 new saliva samples and gave an accuracy of 81.67 ± 2.53% ( = 0.71). This study paves the way for rapid, efficient and painless FBGL estimation from saliva.
PMID: 31531221 [PubMed]
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